Agent Simulation

This is a selection of publications in Journals and International Conferences with research relevant to the Agent Simulation competition. The most influential RoboCup Rescue Simulation League publications can be found here. There is an equivalent selection of publications of the Virtual Robot competition.

Last updated: April 10, 2019


2019

  • Gerostathopoulos, I., Skoda, D., Plasil, F., Bures, T. & Knauss, A. (2019). Tuning self-adaptation in cyber-physical systems through architectural homeostasis. Journal of Systems and Software, 148, 37-55. [ doi ]
  • Shi, H., Zhang, R., Sun, G. & Chen, J. (2019). Clustering-based task coordination to search and rescue teamwork of multiple agents. International Journal of Advanced Robotic Systems, 16(2), 172988141983115. [ doi ]

2018

  • Chen, J., Wang, J., Xiao, Q. & Chen, C. (2018). A multi-robot task allocation method based on multi-objective optimization. In Proceedings of the 2018 15th International Conference on Control, Automation, Robotics and Vision (pp. 1868-1873). Piscataway, NJ: IEEE. [ doi ]
  • Frasheri, M., Curuklu, B., Esktrom, M. & Papadopoulos, A. V. (2018). Adaptive autonomy in a search and rescue scenario. In Proceedings of the 12th International Conference on Self-Adaptive and Self-Organizing Systems (pp. 150-155). Piscataway, NJ: IEEE. [ doi ]
  • Kusaka, T., Miyamoto, Y., Hasegawa, A., Takami, S., Iwata, K. & Ito, N. (2018). Effective fusion of disaster-relief agent in RoboCupRescue Simulation. In Proceedings of the 5th International Conference on Computational Science/ Intelligence and Applied Informatics (pp. 78-83). Piscataway, NJ: IEEE. [ doi ]
  • Paravisi, M., Jorge, V. A. M. & Amory, A. (2018). Toward an accurate hydrologic urban flooding simulations for disaster robotics. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics . Setúbal: SciTePress. [ doi ]
  • Parker, J., Farinelli, A. & Gini, M. (2018). Lazy max-sum for allocation of tasks with growing costs. Robotics and Autonomous Systems, 110, 44-56. [ doi ]
  • Samaad, T., Tahir, G. A., ur-Rahman, M. & Ashraf, M. (2018). Comparative performance analysis between agent-based and conventional diaster management system. In Proceedings of the 2018 International Conference on Smart Computing and Electronic Enterprise (pp. 1-6). Piscataway, NJ: IEEE. [ doi ]
  • Takami, S., Takayanagi, K., Jaishy, S., Ito, N. & Iwata, K. (2018). Agent-development framework based on modular structure to research disaster-relief activities. International Journal of Software Innovation, 6(4), 1-15. [ doi ]
  • Takami, S., Onishi, M., Iwata, K., Ito, N., Murase, Y. & Uchitane, T. (2018). An environment for combinatorial experiments in a multi-agent simulation for disaster response. In T. Miller, N. Oren, Y. Sakurai, I. Noda, B. Savarimuthu & S. T. Cao (Eds.), PRIMA 2018: Principles and Practice of Multi-Agent Systems (Vol. 11224, pp. 646-654). Cham: Springer. [ doi ]
  • Takami, S., Takayanagi, K., Jaishy, S., Ito, N., Iwata, K., Murase, Y. & Uchitane, T. (2018). Proposed environment to support development and experiment in RoboCupRescue Simulation. In H. Akiyama, O. Obst, C. Sammut & F. Tonidandel (Eds.), RoboCup 2017: Robot World Cup XXI (Vol. 11175, pp. 71-83). Cham: Springer. [ doi ]

2017

  • Aşık, O. & Akın, H. L. (2017). Effective multi-robot spatial task allocation using model approximations. In S. Behnke, R. Sheh, S. Sarıel & D. Lee (Eds.), RoboCup 2016: Robot World Cup XX (Vol. 9776, pp. 243-255). Cham: Springer. [ doi ]
  • Bouzouita, K., Chaari, W. L. & Tagina, M. (2017). Evaluation of agents’ management impact on performances in coalition-based cooperation. In Proceedings of the 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (pp. 155-162). Piscataway, NJ: IEEE. [ doi ]
  • Hooshangi, N. & Alesheikh, A. A. (2017). Agent-based task allocation under uncertainties in disaster environments: An approach to interval uncertainty. International Journal of Disaster Risk Reduction, 24, 160-171. [ doi ]
  • Parker, J. E. (2017). Task allocation with growing costs (PhD thesis). University of Minnesota.
  • Parker, J., Farinelli, A. & Gini, M. (2017). Max-sum for allocation of changing cost tasks. In W. Chen, K. Hosoda, E. Menegatti, M. Shimizu & H. Wang (Eds.), Intelligent Autonomous Systems 14 (Vol. 531, pp. 629-642). Cham: Springer. [ doi ]
  • Takami, S., Takayanagi, K., Jaishy, S., Ito, N. & Iwata, K. (2017). Design of agent development framework for RoboCupRescue Simulation. In R. Lee (Eds.), Computational Science/Intelligence and Applied Informatics (Vol. 726, pp. 185-199). Cham: Springer. [ doi ]

2016

  • Correa, A. (2016). Binary max-sum for clustering-based task allocation in the RMASBench platform. In Proceedings of the 2016 IEEE Congress on Evolutionary Computation (pp. 1046-1053). Piscataway, NJ: IEEE. [ doi ]
  • Fu, Y., Pan, W. & Lv, M. (2016). A novel multi-agent knowledge reasoning method for cooperation and confrontation. In Proceedings of the 2016 International Conference on Progress in Informatics and Computing (pp. 62-68). Piscataway, NJ: IEEE. [ doi ]
  • Gao, X., Wu, D. & Liang, Z. (2016). Information sharing method for RCRSS in communication-limited environment. In Proceedings of the 2016 Chinese Control and Decision Conference (pp. 1256-1259). Piscataway, NJ: IEEE. [ doi ]
  • Okimoto, T., Ribeiro, T., Bouchabou, D. & Inoue, K. (2016). Mission oriented robust multi-team formation and its application to Robot Rescue Simulation. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (pp. 454-460). Palo Alto, CA: AAAI Press.
  • Sakr, F. & Abdennadher, S. (2016). Harnessing supervised learning techniques for the task planning of ambulance rescue agents. In J. van den Herik & J. Filipe (Eds.), Proceedings of the 8th International Conference on Agents and Artificial Intelligence (pp. 157-164). Setúbal: SciTePress. [ doi ]
  • Sheh, R., Schwertfeger, S. & Visser, A. (2016). 16 years of RoboCup Rescue. KI – Künstliche Intelligenz, 30(3-4), 267-277. [ doi ]

2015

  • Jaishy, S., Ito, N. & Kawabe, Y. (2015). BAR: Breakdown agent replacement algorithm for SCRAM. In Proceedings of the 2015 3rd International Conference on Applied Computing and Information Technology and the 2nd International Conference on Computational Science and Intelligence (pp. 393-398). Piscataway, NJ: IEEE. [ doi ]
  • Niu, W., Xu, Y.-q., Wu, J. & Tan, Y.-z. (2015). A centralized scheduling approach to multi-agent coordination. In E. Qi, J. Shen & R. Dou (Eds.), Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management (pp. 171-175). Paris: Atlantis Press. [ doi ]
  • Parker, J., Nunes, E., Godoy, J. & Gini, M. (2015). Exploiting spatial locality and heterogeneity of agents for search and rescue teamwork. Journal of Field Robotics, 33(7), 877-900. [ doi ]
  • Pujol-Gonzalez, M., Cerquides, J., Farinelli, A., Meseguer, P. & Rodriguez-Aguilar, J. A. (2015). Efficient inter-team task allocation in RoboCup Rescue. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (pp. 413-421). Richland, SC: IFAAMAS.
  • Ramchurn, S. D., Wu, F., Jiang, W., Fischer, J. E., Reece, S., Roberts, S., Rodden, T., Greenhalgh, C. & Jennings, N. R. (2015). Human-agent collaboration for disaster response. Autonomous Agents and Multi-Agent Systems, 30(1), 82-111. [ doi ]
  • Visser, A., Ito, N. & Kleiner, A. (2015). RoboCup Rescue Simulation innovation strategy. In R. Bianchi, H. L. Akin, S. Ramamoorthy & K. Sugiura (Eds.), RoboCup 2014: Robot World Cup XVIII (Vol. 8992, pp. 661-672). Cham: Springer. [ doi ]
  • Wu, K., Lee, W. S. & Hsu, D. (2015). POMDP to the rescue: Boosting performance for Robocup Rescue. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 5294-5299). Piscataway, NJ: IEEE. [ doi ]
  • Xiang, Y., Zhiwei, L., Zhipeng, W. & Xuanyu, C. (2015). Dynamic path planning in RoboCup Rescue Simulation competition. In Proceedings of the 27th Chinese Control and Decision Conference (pp. 4341-4344). Piscataway, NJ: IEEE. [ doi ]

2014

  • Abouraya, A., Helal, D., Sakr, F., Khater, N., Osama, S. & Abdennadher, S. (2014). Clustering and planning for rescue agent simulation. In S. Behnke, M. Veloso, A. Visser & R. Xiong (Eds.), RoboCup 2013: Robot World Cup XVII (Vol. 8371, pp. 125-134). Berlin Heidelberg: Springer. [ doi ]
  • Aichour, H. Z. (2014). Bio-inspired collective decision making in multiagent system: From low- to high-cognition algorithms (Masters thesis). University of Calgary.
  • Belhaj, M., Kebair, F. & Said, L. B. (2014). Emotional agent model for simulating and studying the impact of emotions on the behaviors of civilians during emergency situations. In C. Hanachi, F. Bénaben & F. Charoy (Eds.), Information Systems for Crisis Response and Management in Mediterranean Countries (Vol. 196, pp. 206-217). Cham: Springer. [ doi ]
  • Kawakami, T., Kisanuki, K., Ito, T., Iwata, K., Ito, N. & Izumi, T. (2014). Investigating the effectiveness of a moving-target oriented opportunistic routing algorithm on RoboCup Rescue Simulations. In Proceedings of the 2014 3rd International Conference on Advanced Applied Informatics (pp. 919-924). Piscataway, NJ: IEEE. [ doi ]
  • Liang, Z., Yang, X. & Deng, Y. (2014). A partitioning-based task allocation strategy for police multi-agents. In Proceedings of the 26th Chinese Control and Decision Conference (pp. 2124-2128). Piscataway, NJ: IEEE. [ doi ]
  • Liemhetcharat, S. & Veloso, M. (2014). Weighted synergy graphs for effective team formation with heterogeneous ad hoc agents. Artificial Intelligence, 208, 41-65. [ doi ]
  • Liu, Z. & Liang, Z. (2014). The temperature prediction model and fire control method in RoboCup Rescue. In Proceedings of the 2014 14th International Conference on Control, Automation and Systems (pp. 488-493). Piscataway, NJ: IEEE. [ doi ]
  • Parker, J., Godoy, J., Groves, W. & Gini, M. (2014). Issues with methods for scoring competitors in RoboCup Rescue. In Proceedings of the AAMAS Workshop on Autonomous Robots and Multirobot Systems (pp. 1-16). .
  • Parker, J. & Gini, M. (2014). Tasks with cost growing over time and agent reallocation delays. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems (pp. 381-388). Richland, SC: IFAAMAS.
  • Pujol-Gonzalez, M. (2014). Scaling DCOP algorithms forcooperative multi-agent coordination (PhD thesis). Universitat Autònoma de Barcelona.
  • Pujol-Gonzalez, M., Cerquides, J., Farinelli, A., Meseguer, P. & Rodríguez-Aguilar, J. A. (2014). Binary max-sum for multi-team task allocation in RoboCup Rescue. In Proceedings of the International Joint Workshop on Optimisation in Multi-Agent Systems and Distributed Constraint Reasoning (pp. 1-15). .
  • Sasaoka, H. (2014). Evaluation of hetero sensitivity of pheromone with ant colony optimization in RoboCup Rescue Simulation System. In Proceedings of the 2014 IEEE International Conference on Granular Computing (pp. 241-244). Piscataway, NJ: IEEE. [ doi ]
  • Sharbafi, M., Amirghiasvand, O. & Ramandi, S. A. (2014). Hierarchical hybrid fuzzy decision making in multi agent time critical environment. International Journal of Innovation, Management and Technology, 5(1), 56-60. [ doi ]
  • Takano, R., Yamazaki, D., Ichikawa, Y., Hattori, K. & Takadama, K. (2014). Multiagent-based ABC algorithm for autonomous rescue agent cooperation. In Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (pp. 585-590). Piscataway, NJ: IEEE. [ doi ]
  • Trăichioiu, M. (2014). Hierarchical decision theoretic planning for RoboCup Rescue Agent Simulation (Masters thesis). University of Amsterdam.
  • Wang, W., Gao, X. & Liang, Z. (2014). A dynamic strategy based on road-partitioning model in Robocup Rescue Simulation. In Proceedings of the 2014 IEEE International Conference on Mechatronics and Automation (pp. 1789-1794). Piscataway, NJ: IEEE. [ doi ]

2013

  • Abdolmaleki, A., Movahedi, M., Lau, N. & Reis, L. P. (2013). A distributed cooperative reinforcement learning method for decision making in fire brigade teams. In X. Chen, P. Stone, L. E. Sucar & T. van der Zant (Eds.), RoboCup 2012: Robot Soccer World Cup XVI (Vol. 7500, pp. 237-248). Berlin Heidelberg: Springer. [ doi ]
  • Akın, H. L., Ito, N., Jacoff, A., Kleiner, A., Pellenz, J. & Visser, A. (2013). RoboCup Rescue Robot and Simulation Leagues. AI Magazine, 34(1), 78-86. [ doi ]
  • Gohardani, P. D., Mirsharifi, R. & Meybodi, M. R. (2013). A rendezvous based coordination and communication model for multi-agent system. In IEEE Conference Anthology (pp. 1-4). Piscataway, NJ: IEEE. [ doi ]
  • Kleiner, A., Farinelli, A., Ramchurn, S., Shi, B., Maffioletti, F. & Reffato, R. (2013). RMASBench: Benchmarking dynamic multi-agent coordination in urban search and rescue. In Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems (pp. 1195-1196). Richland, SC: IFAAMAS.
  • Okaya, M., Southern, M. & Takahashi, T. (2013). Dynamic information transfer and sharing model in agent based evacuation simulations. In Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems (pp. 1295-1296). Richland, SC: IFAAMAS.
  • Okaya, M. & Takahashi, T. (2013). Evacuation simulation with guidance for anti-disaster planning. In X. Chen, P. Stone, L. E. Sucar & T. van der Zant (Eds.), RoboCup 2012: Robot Soccer World Cup XVI (Vol. 7500, pp. 202-212). Berlin Heidelberg: Springer. [ doi ]
  • Parker, J. E. (2013). Task allocation for multi-agent systems in dynamic environments. In Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems (pp. 1445-1446). Richland, SC: IFAAMAS.
  • Sasaoka, H. (2013). Evaluation for acquiring method for agent’ actions using pheromone communication in multi-agent system. International Journal of Machine Learning and Computing, 3(1), 103-106. [ doi ]
  • Wang, Z. J., Fang, B. F. & Liu, W. (2013). Multi-agent collaborative research based on an optimization method about multiple evaluation function with hybrid particle swarm with constraints. Applied Mechanics and Materials, 380-384, 1510-1514. [ doi ]

2012

  • Hawe, G. I., Coates, G., Wilson, D. T. & Crouch, R. S. (2012). Agent-based simulation for large-scale emergency response: A survey of usage and implementation. ACM Computing Surveys, 45(1), 1-51. [ doi ]
  • Hussein, A., Gervet, C. & Abdennadher, S. (2012). Multi-agent Planning for the RoboCup Rescue Simulation – Applying Clustering into Task Allocation and Coordination. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (Vol. 2, pp. 339-342). .
  • Khanal, B., Ito, N., Iwata, K. & Ishii, N. (2012). Formalization of decentralized cooperation model for disaster simulation. In J. Watada, T. Watanabe, G. Phillips-Wren, R. Howlett & L. Jain (Eds.), Intelligent Decision Technologies (Vol. 15, pp. 205-214). Berlin Heidelberg: Springer. [ doi ]
  • Khojasteh, M. & Kazimi, A. (2012). Using learning automata in coordination among heterogeneous agents in a complex multi-agent domain. International Journal of Artificial Intelligence and Expert Systems, 3(3), 39-59.
  • Nowroozi, A., Shiri, M. E., Aslanian, A. & Lucas, C. (2012). A general computational recognition primed decision model with multi-agent rescue simulation benchmark. Information Sciences, 187, 52-71. [ doi ]
  • Parker, J., Nunes, E., Godoy, J. & Gini, M. (2012). Forming long term teams to explot synergies among heterogeneous agents (No. TR 12-016). University of Minnesota.
  • Pereira, A. H., Nardin, L. G. & Sichman, J. S. (2012). LTI Agent Rescue: A partial global approach for task allocation in the RoboCup Rescue. Revista de Informática Teórica e Aplicada, 19(1), 71-92.
  • dos Santos, D. S. & Bazzan, A. L. C. (2012). Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach. Applied Soft Computing, 12(8), 2123-2131. [ doi ]
  • dos Santos, F., Jacobsen, G. R. d. C. & Barth, C. A. (2012). Extending the RoboCup Rescue to support stigmergy: Experiments and results. RITA, 19(2), 59-75.
  • Shahbazi, H., Salehi, S. & Movahedi, M. (2012). Delayed rewards vs. evolving fuzzy neural network, for firebrigades in RoboCupRescue Simulation. Advanced Materials Research, 433-440, 917-921. [ doi ]
  • Zhang, X., Peng, J., Hu, H., Lin, K.-C. & Wang, J. (2012). Target attraction-based ant colony algorithm for mobile robots in rescue missions. International Journal of Modelling, Identification and Control, 17(2), 133-141. [ doi ]

2011

  • Abdolmaleki, A., Movahedi, M., Salehi, S., Lau, N. & Reis, L. P. (2011). A reinforcement learning based method for optimizing the process of decision making in fire brigade agents. In L. Antunes & H. S. Pinto (Eds.), Progress in Artificial Intelligence (Vol. 7026, pp. 340-351). Berlin Heidelberg: Springer. [ doi ]
  • Epstein, D. & Bazzan, A. L. C. (2011). Dealing with coalition formation in the RoboCup Rescue: An heuristic approach. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (pp. 717-720). Setúbal: SciTePress. [ doi ]
  • Ghiasvand, O. A. & Sharbafi, M. A. (2011). Using earliest deadline first algorithms for coalition formation in dynamic time-critical environment. International Journal of Information and Education Technology, 1(2), 120-125. [ doi ]
  • Iwata, K., Ito, N., Koketsu, H. & Ishii, N. (2011). Analyzing map features and building information for disaster response using agent-based simulations. In A. König, A. Dengel, K. Hinkelmann, K. Kise, R. J. Howlett & L. C. Jain (Eds.), Knowledge-Based and Intelligent Information and Engineering Systems (Vol. 6883, pp. 616-626). Berlin Heidelberg: Springer. [ doi ]
  • Mouaddib, A.-I. & Jeanpierre, L. (2011). Decentralized decision-making technique for dynamic coalition of resource-bounded autonomous agents. International Journal of Intelligent Computing and Cybernetics, 4(2), 228-242. [ doi ]
  • Okaya, M. & Takahashi, T. (2011). BDI agent model based evacuation simulation. In The 10th International Conference on Autonomous Agents and Multiagent Systems (Vol. 3, pp. 1297-1298). Richland, SC: IFAAMAS.
  • Okaya, M. & Takahashi, T. (2011). Evacuation simulation with communication for anti-disaster planning. In Proceedings of the 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics (pp. 44-49). Piscataway, NJ: IEEE. [ doi ]
  • Okaya, M. & Takahashi, T. (2011). Human relationship modeling in agent-based crowd evacuation simulation. In D. Kinny, J. Y. Hsu, G. Governatori & A. K. Ghose (Eds.), Agents in Principle, Agents in Practice (Vol. 7047, pp. 496-507). Berlin Heidelberg: Springer. [ doi ]
  • Pereira, A. H., Nardin, L. G. & Sichman, J. S. (2011). Coordination of agents in the RoboCup Rescue: A partial global approach. In 2011 Workshop and School of Agent Systems, their Environment and Applications (pp. 45-50). Los Alamitos, CA: IEEE. [ doi ]
  • Suárez Barón, S. A. (2011). Dynamic task allocation and coordination in cooperative multi-agent environments (PhD thesis). University of Girona.
  • Zeydan, B. & Akın, H. L. (2011). Market-driven multi-agent collaboration for extinguishing fires in the RoboCup Rescue simulation domain. In C. Orencik, H. Erdogan, M. A. Yatbaz, R. Aydogan, T. Mericli & T. Eren (Eds.), Proceedings of the 2nd Computer Science Student Workshop (pp. 5-8). Istanbul: Sabancı University.

2010

  • Chapman, A. C., Micillo, R. A., Kota, R. & Jennings, N. R. (2010). Decentralized dynamic task allocation using overlapping potential games. The Computer Journal, 53(9), 1462-1477. [ doi ]
  • Eghbali, M. & Sharbafi, M. A. (2010). Multi agent routing to multi targets via ant colony. In Proceedings of the 2010 The 2nd International Conference on Computer and Automation Engineering (Vol. 1, pp. 587-591). Piscataway, NJ: IEEE. [ doi ]
  • Fard, F. S. N., Parvar, H., Shiri, M. E. & Soleimani, E. (2010). Using self-configurable particle swarm optimization for allocation position of rescue robots. In Proceedings of the 2010 2nd International Conference on Computer and Network Technology . IEEE. [ doi ]
  • Goodarzi, M., Radmand, A. & Nazemi, E. (2010). An optimized solution for multi-agent coordination using integrated GA-Fuzzy approach in rescue simulation environment. In Q. Bai & N. Fukuta (Eds.), Advances in Practical Multi-Agent Systems (Vol. 325, pp. 377-388). Berlin Heidelberg: Springer. [ doi ]
  • Khan, M. A., Turgut, D. & Bölöni, L. (2010). Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects. Autonomous Agents and Multi-Agent Systems, 22(3), 415-438. [ doi ]
  • Masoumi, B., Asghari, M. & Meybodi, M. R. (2010). Utilizing learning automata and entropy to improve the exploration power of rescue agents. In Proceedings of the 2010 2nd WRI Global Congress on Intelligent Systems (Vol. 1, pp. 111-114). Piscataway, NJ: IEEE. [ doi ]
  • Naja, I., Moreau, L. & Rogers, A. (2010). Provenance of decisions in emergency response environments. In D. L. McGuinness, J. R. Michaelis & L. Moreau (Eds.), Provenance and Annotation of Data and Processes (Vol. 6378, pp. 221-230). Berlin Heidelberg: Springer. [ doi ]
  • Nanjanath, M., Erlandson, A. J., Andrist, S., Ragipindi, A., Mohammed, A. A., Sharma, A. S. & Gini, M. (2010). Decision and coordination strategies for RoboCup Rescue agents. In N. Ando, S. Balakirsky, T. Hemker, M. Reggiani & O. von Stryk (Eds.), Simulation, Modeling, and Programming for Autonomous Robots (Vol. 6472, pp. 473-484). Berlin Heidelberg: Springer. [ doi ]
  • Radmand, A., Nazemi, E. & Goodarzi, M. (2010). Integrated genetic algorithmic and fuzzy logic approach for decision making of police force agents in rescue simulation environment. In J. Baltes, M. G. Lagoudakis, T. Naruse & S. S. Ghidary (Eds.), RoboCup 2009: Robot Soccer World Cup XIII (Vol. 5949, pp. 288-295). Berlin Heidelberg: Springer. [ doi ]
  • Ramchurn, S. D., Polukarov, M., Farinelli, A., Truong, C. & Jennings, N. R. (2010). Coalition formation with spatial and temporal constraints. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (Vol. 3, pp. 1181-1188). Richland, SC: IFAAMAS.
  • Ramchurn, S. D., Farinelli, A., Macarthur, K. S. & Jennings, N. R. (2010). Decentralized coordination in RoboCup Rescue. The Computer Journal, 53(9), 1447-1461. [ doi ]
  • Runka, A. (2010). Genetic programming for the RoboCup Rescue Simulation System (Masters thesis). Brock University.
  • dos Santos, F. & Bazzan, A. L. C. (2010). Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach. Autonomous Agents and Multi-Agent Systems, 22(3), 465-486. [ doi ]
  • Sato, K. & Takahashi, T. (2010). A study of map data influence on disaster and rescue simulation’s results. In Q. Bai & N. Fukuta (Eds.), Advances in Practical Multi-Agent Systems (Vol. 325, pp. 389-402). Berlin Heidelberg: Springer. [ doi ]
  • Skinner, C. & Ramchurn, S. (2010). The RoboCup Rescue Simulation platform. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (Vol. 1, pp. 1647-1648). Richland, SC: IFAAMAS.

2009

  • Anciutti, I. (2009). A learning classifier system for emergent team behavior in real-time POMDP. In Proceedings of the 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (pp. 733-738). Piscataway, NJ: IEEE. [ doi ]
  • Asghari, M., Masoumi, B. & Meybodi, M. R. (2009). Virtual and intelligent traffic signs in rescue simulation system: Imitation of human society in agent society. In Proceedings of the 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation (pp. 205-209). Piscataway, NJ: IEEE. [ doi ]
  • Chapman, A. C., Micillo, R. A., Kota, R. & Jennings, N. R. (2009). Decentralised dynamic task allocation: A practical game theoretic approach. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (Vol. 2, pp. 915-922). Richland, SC: IFAAMAS.
  • Chou, W. Y. J., Marsh, L. & Gossink, D. (2009). Multi-agent coordination and optimisation in the RoboCup Rescue project. In R. S. Anderssen, R. D. Braddock & L. T. H. Newham (Eds.), Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation (pp. 1608-1614). .
  • Daqi, G., Yingqiu, X. & Yingzi, T. (2009). Particle filter based study of fire forecasting in RCRSS. In Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management (pp. 1265-1268). Piscataway, NJ: IEEE. [ doi ]
  • Ferreira, P. R., dos Santos, F., Bazzan, A. L. C., Epstein, D. & Waskow, S. J. (2009). RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies. Autonomous Agents and Multi-Agent Systems, 20(3), 421-443. [ doi ]
  • Göbelbecker, M. & Dornhege, C. (2009). Realistic cities in simulated environments: An open street map to Robocup Rescue converter. In Proceedings of the 5th International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-6). .
  • Iwata, K., Ito, N., Setoguchi, Y. & Ishii, N. (2009). Analyzing the relationship between complexity of road networks and mobile agents’ simulation. In J. D. Velásquez, S. A. Ríos, R. J. Howlett & L. C. Jain (Eds.), Knowledge-Based and Intelligent Information and Engineering Systems (Vol. 5712, pp. 639-647). Berlin Heidelberg: Springer. [ doi ]
  • Kruse, M., Baumann, M., Knieper, T., Seipel, C., Khaluf, L., Lehmann, N., Lermontow, A., Messinger, C., Richter, S., Schmidt, T. & Swars, D. (2009). Learning parametrised RoboCup Rescue agent behaviour using an evolutionary algorithm. In B. Mertsching, M. Hund & Z. Aziz (Eds.), Advances in Artificial Intelligence (Vol. 5803, pp. 648-655). Berlin Heidelberg: Springer. [ doi ]
  • Meng, Q., Xu, Y. & Tan, Y. (2009). Entropy-based victim search in RoboCup Rescue Agent Simulation. In Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering (Vol. 4, pp. 692-696). Piscataway, NJ: IEEE. [ doi ]
  • Okaya, M., Yotsukura, S., Sato, K. & Takahashi, T. (2009). Agent evacuation simulation using a hybrid network and free space models. In J. J. Yang, M. Yokoo, T. Ito, Z. Jin & P. Scerri (Eds.), Principles of Practice in Multi-Agent Systems (Vol. 5925, pp. 563-570). Berlin Heidelberg: Springer. [ doi ]
  • Ruas, T. L., Marietto, M. d. G. B., Franca, R. d. S. & Batista, A. F. d. M. (2009). A model for fire spreading by multi-agent systems: A RoboCup Rescue simulation and swarm platform approach. In Proceedings of the 2009 2nd International Conference on the Applications of Digital Information and Web Technologies (pp. 380-385). Piscataway, NJ: IEEE. [ doi ]
  • Sarika, R., Siddhartha, H. & Karlapalem, K. (2009). Database driven RoboCup Rescue server. In L. Iocchi, H. Matsubara, A. Weitzenfeld & C. Zhou (Eds.), RoboCup 2008: Robot Soccer World Cup XII (Vol. 5399, pp. 602-613). Berlin Heidelberg: Springer. [ doi ]
  • Sato, K., Yotsukura, S. & Takahashi, T. (2009). Proposal of building rescue management system using grass roots software and public data. In Proceedings of the 5th International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-5). .
  • Takahashi, T. (2009). Analysis methods of agent behavior and its interpretation in a case of rescue simulations. In L. Iocchi, H. Matsubara, A. Weitzenfeld & C. Zhou (Eds.), RoboCup 2008: Robot Soccer World Cup XII (Vol. 5399, pp. 331-342). Berlin Heidelberg: Springer. [ doi ]
  • Takahashi, T. (2009). RoboCup Rescue: Challenges and lessons learned. In A. M. Uhrmacher & D. Weyns (Eds.), Multi-Agent Systems: Simulation and Applications (pp. 423-450). Boca Raton, FL: CRC Press.
  • Zhang, X., Wu, M., Peng, J. & Jiang, F. (2009). A rescue robot path planning based on ant colony optimization algorithm. In Proceedings of the 2009 International Conference on Information Technology and Computer Science (Vol. 2, pp. 180-183). Piscataway, NJ: IEEE. [ doi ]

2008

  • Aghaei, N. G., Shahbazi, H., Farzaneh, P., Abdolmaleki, A. & Khorsandian, A. (2008). The structure of personality-based emotional decision making in robotic rescue agent. In Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 1201-1206). Piscataway, NJ: IEEE. [ doi ]
  • Aghazadeh, O., Sharbafi, M. A. & Haghighat, A. T. (2008). Implementing parametric reinforcement learning in Robocup Rescue Simulation. In U. Visser, F. Ribeiro, T. Ohashi & F. Dellaert (Eds.), RoboCup 2007: Robot Soccer World Cup XI (Vol. 50001, pp. 409-416). Berlin Heidelberg: Springer. [ doi ]
  • Chu, T.-Q., Boucher, A., Drogoul, A., Vo, D.-A., Nguyen, H.-P. & Zucker, J.-D. (2008). Interactive learning of expert criteria for rescue simulations. In T. D. Bui, T. V. Ho & Q. T. Ha (Eds.), Intelligent Agents and Multi-Agent Systems (Vol. 5357, pp. 127-138). Berlin Heidelberg: Springer. [ doi ]
  • Furbach, U., Murray, J., Schmidsberger, F. & Stolzenburg, F. (2008). Model checking hybrid multiagent systems for the RoboCup. In U. Visser, F. Ribeiro, T. Ohashi & F. Dellaert (Eds.), RoboCup 2007: Robot Soccer World Cup XI (Vol. 5001, pp. 262-269). Berlin Heidelberg: Springer. [ doi ]
  • Iwata, K., Ito, N., Toda, K. & Ishii, N. (2008). Analysis of agents’ cooperation in RoboCupRescue Simulation. In R. Lee (Eds.), Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (Vol. 149, pp. 227-236). Berlin Heidelberg: Springer. [ doi ]
  • Lekova, A. & Georgieva, O. (2008). Using high level information to make services and applications sparse MANETs aware. In Proceedings of the 4th International IEEE Conference Intelligent Systems (pp. 275-280). Piscataway, NJ: IEEE. [ doi ]
  • Ramchurn, S. D., Rogers, A., Macarthur, K., Farinelli, A., Vytelingum, P., Vetsikas, I. & Jennings, N. R. (2008). Agent-based coordination technologies in disaster management. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems: Demo Papers (pp. 1651-1652). Richland, SC: IFAAMAS.

2007

  • Boffo, F., Ferreira, Paulo R., J. & Bazzan, A. L. C. (2007). A comparison of algorithms for task allocation in robocup rescue. In M. Dastani & R. H. Bordini (Eds.), Proceedings of the 5th European Workshop on Multiagent Systems (pp. 537-548). .
  • Ferreira, P. R., Boffo, F. S. & Bazzan, A. L. C. (2007). Using Swarm-GAP for distributed task allocation in complex scenarios. In N. Jamali, P. Scerri & T. Sugawara (Eds.), Massively Multi-Agent Technology (Vol. 5043, pp. 107-121). Berlin Heidelberg: Springer. [ doi ]
  • Kenn, H. & Kleiner, A. (2007). Towards the integration of real-time real-world data in urban search and rescue simulation. In J. Löffler & M. Klann (Eds.), Mobile Response (Vol. 4458, pp. 106-115). Berlin Heidelberg: Springer. [ doi ]
  • Mart\inez, I. C., Ojeda, D. & Zamora, E. A. (2007). Ambulance decision support using evolutionary reinforcement learning in Robocup Rescue Simulation League. In G. Lakemeyer, E. Sklar, D. G. Sorrenti & T. Takahashi (Eds.), RoboCup 2006: Robot Soccer World Cup X (Vol. 4434, pp. 556-563). Berlin Heidelberg: Springer. [ doi ]
  • Ozaki, A., Shiraishi, M., Sato, H., Watanabe, S., Furuichi, M. & Matsushita, K. (2007). High performance road traffic simulation based on dynamic time step synchronization method. In Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications (pp. 235-243). Piscataway, NJ: IEEE. [ doi ]
  • Ozaki, A., Matsushita, K., Shiraishi, M., Watanabe, S., Furuichi, M. & Sato, H. (2007). Dynamic time step synchronization method for road traffic simulation: Application to RoboCup Rescue simulation. In Proceedings of the 2007 SICE Annual Conference (pp. 1431-1437). Piscataway, NJ: IEEE. [ doi ]
  • de Paolis, L. T., Pulimeno, M. & Aloisio, G. (2007). The simulation of a billiard game using a haptic interface. In Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications (pp. 235-243). Washington, DC: IEEE Computer Society. [ doi ]
  • Song, A., Padgham, L. & Cavedon, L. (2007). Prediction in dynamic environment: Robocup Rescue exploration. In K. Tumer, S. Sen & L. Panait (Eds.), Proceedings of the Adaptive Learning Agents Workshop (pp. 22-27). .
  • Barón, S. A. S., Quintero M., C. G. & de la Rosa, J. L. (2007). Improving tasks allocation and coordination in a rescue scenario. In Proceedings of the 2007 European Control Conference (pp. 1498-1503). Piscataway, NJ: IEEE. [ doi ]
  • Takahashi, T. (2007). A method to interpret rescue agent behaviors with a probability model. In Proceedings of the 4th International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-6). .
  • Takahashi, T. (2007). Agent-based disaster simulation evaluation and its probability model interpretation. In Proceedings of Information System for Crisis Response and Management (pp. 369-376). .

2006

  • Ferreira, Paulo R., J. & Bazzan, A. L. C. (2006). Swarm-GAP: A swarm based approximation algorithm for E-GAP. In N. R. Jennings, M. Tambe, T. Ishida & D. Ramchurn, Sarvapali (Eds.), Proceedings of the 1st International Workshop on Agent Technology for Disaster Management (pp. 49-55). Hakodate .
  • Kleiner, A., Brenner, M., Bräuer, T., Dornhege, C., Göbelbecker, M., Luber, M., Prediger, J., Stückler, J. & Nebel, B. (2006). Successful search and rescue in simulated disaster areas. In A. Bredenfeld, A. Jacoff, I. Noda & Y. Takahashi (Eds.), RoboCup 2005: Robot Soccer World Cup IX (Vol. 4020, pp. 323-334). Berlin Heidelberg: Springer. [ doi ]
  • Kleiner, A., Behrens, N. & Kenn, H. (2006). Wearable Computing meets Multiagent Systems: A real-word interface for the RoboCupRescue Simulation platform. In N. R. Jennings, M. Tambe, T. Ishida & D. Ramchurn, Sarvapali (Eds.), Proceedings of the 1st International Workshop on Agent Technology for Disaster Management (pp. 116-123). Hakodate.
  • Pedro Miguel Moreira, Luis Paulo Reis and A. Augusto de Sousa (2006) Visualization Optimization: Application to the RoboCup Rescue Domain, SIACG 2006 Ibero-American Symposium on Computer Graphics 2006, Santiago de Compostela, Spain, July 2006.
  • Kubo, T., Morishita, T., Shimora, H., Kawarabayashi, T., Odaka, T., Ogura, H., Frank, I., Tanaka-Ishii, K., Tadokoro, S. & Matsubara, H. (2006). Rescue MIKE: An automatic commentary system for disaster simulation. Transactions of the Japanese Society for Artificial Intelligence, 21(4), 388-397. [ doi ]
  • Liang, D. (2006). Rational hierarchical planning and coordination in multi-agent systems (Masters thesis). University of Windsor.
  • Martínez, I. C., Ojeda, D. & Zamora, E. (2006). Using XCS for action selection in RoboCup Rescue Simulation League. In Proceedings of the 2006 Genetic and Evolutionary Computation Conference (pp. 1-4). .
  • Noda, I. (2006). Consistency management framework for database used in integrated simulations. In A. Bredenfeld, A. Jacoff, I. Noda & Y. Takahashi (Eds.), RoboCup 2005: Robot Soccer World Cup IX (Vol. 4020, pp. 279-289). Berlin Heidelberg: Springer. [ doi ]
  • Paquet, S., Tobin, L. & Chaib-draa, B. (2006). An online POMDP algorithm used by the PoliceForce agents in the RoboCupRescue Simulation. In A. Bredenfeld, A. Jacoff, I. Noda & Y. Takahashi (Eds.), RoboCup 2005: Robot Soccer World Cup IX (Vol. 4020, pp. 196-207). Berlin Heidelberg: Springer. [ doi ]
  • Raymond, V. & Reed, N. E. (2006). Enhancing agent capabilities in a large rescue simulation system. In N. R. Jennings, M. Tambe, T. Ishida & D. Ramchurn, Sarvapali (Eds.), Proceedings of the 1st International Workshop on Agent Technology for Disaster Management (pp. 71-77). Hakodate .
  • Sedaghat, M. N., Nejad, L. P., Iravanian, S. & Rafiee, E. (2006). Task allocation for the police force agents in RoboCupRescue Simulation. In A. Bredenfeld, A. Jacoff, I. Noda & Y. Takahashi (Eds.), RoboCup 2005: Robot Soccer World Cup IX (Vol. 4020, pp. 656-664). Berlin Heidelberg: Springer. [ doi ]
  • Shahgholi-Ghahfarokhi, B., Shahbazi, H., Kazemifard, M. & Zamanifar, K. (2006). Evolving fuzzy neural network based fire planning in rescue firebrigade agents. In Proceeding of the Summer Simulation Conference (pp. 74-82). .
  • Sharbafi, M. A., Lucas, C., Haghighat, A. T., AmirGhiasvand, O. A. & Aghazade, O. (2006). Using emotional learning in rescue simulation environment. In Proceedings of the World Academy of Science, Engineering and Technology (Vol. 13, pp. 333-337). .
  • Skinner, C. & Barley, M. (2006). Robocup Rescue Simulation competition: Status report. In A. Bredenfeld, A. Jacoff, I. Noda & Y. Takahashi (Eds.), RoboCup 2005: Robot Soccer World Cup IX (Vol. 4020, pp. 632-639). Berlin Heidelberg: Springer. [ doi ]
  • Sun, T. L., Yang, Y. M., Zhao, J. J. & Tian, Y. T. (2006). Architecture design and developing techniques for rescue agent. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control (pp. 1036-1040). Piscataway, NJ: IEEE. [ doi ]
  • Takahashi, T. (2006). Requirements to agent based disaster simulations from local government usages. In N. R. Jennings, M. Tambe, T. Ishida & D. Ramchurn, Sarvapali (Eds.), Proceedings of the 1st International Workshop on Agent Technology for Disaster Management (pp. 78-84). Hakodate .
  • Tatlıdede, M. U. & Akın, H. L. (2006). Planning for bidding in single item auctions. In N. R. Jennings, M. Tambe, T. Ishida & D. Ramchurn, Sarvapali (Eds.), Proceedings of the 1st International Workshop on Agent Technology for Disaster Management (pp. 85-90). Hakodate .

2005

  • Farinelli, A., Iocchi, L., Nardi, D. & Patrizi, F. (2005). Task assignment with dynamic token generation. In Monitoring, Security, and Rescue Techniques in Multiagent Systems (Vol. 28, pp. 467-477). Berlin Heidelberg: Springer. [ doi ]
  • Geramifard, A., Nayeri, P., Zamani-Nasab, R. & Habibi, J. (2005). A hybrid three layer architecture for fire agent management in rescue simulation environment. International Journal of Advanced Robotic Systems, 2(2), 111-116. [ doi ]
  • Ibrahim, Z. M. & Tawfik, A. Y. (2005). A qualitative spatio-temporal abstraction of a disaster space. In J. D. Zucker & L. Saitta (Eds.), Abstraction, Reformulation and Approximation (Vol. 3607, pp. 274-281). Berlin Heidelberg: Springer. [ doi ]
  • Meriçli, Ç., Tufanoğulları, I. O. & Akın, H. L. (2005). World modeling in disaster environments with constructive self-organizing maps for autonomous search and rescue robots. In D. Nardi, M. Riedmiller, C. Sammut & J. Santos-Victor (Eds.), RoboCup 2004: Robot Soccer World Cup VIII (Vol. 3276, pp. 467-473). Berlin Heidelberg: Springer. [ doi ]
  • Nair, R. & Tambe, M. (2005). Hybrid BDI-POMDP framework for multiagent teaming. Journal of Artificial Intelligence Research, 23, 367-420. [ doi ]
  • Nüssle, T. A., Kleiner, A. & Brenner, M. (2005). Approaching urban disaster reality: The ResQ firesimulator. In D. Nardi, M. Riedmiller, C. Sammut & J. Santos-Victor (Eds.), RoboCup 2004: Robot Soccer World Cup VIII (Vol. 3276, pp. 474-482). Berlin Heidelberg: Springer. [ doi ]
  • Paquet, S. (2005). Distributed decision-making and task coordination in dynamic, uncertain and real-time multiagent environments (PhD thesis). Université Laval.
  • Reinaldo, F., Certo, J., Cordeiro, N., Reis, L. P., Camacho, R. & Lau, N. (2005). Applying biological paradigms to emerge behaviour in RoboCup Rescue team. In C. Bento, A. Cardoso & G. Dias (Eds.), Progress in Artificial Intelligence (Vol. 3808, pp. 422-434). Berlin Heidelberg: Springer. [ doi ]
  • Scerri, P., Farinelli, A., Okamoto, S. & Tambe, M. (2005). Allocating tasks in extreme teams. In Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 727-734). New York, NY: ACM. [ doi ]
  • Schurr, N., Marecki, J., Tambe, M. & Scerri, P. (2005). Towards flexible coordination of human-agent teams. Multiagent and Grid Systems, 1(1), 3-16. [ doi ]
  • Suárez, S., Collins, J. & López, B. (2005). Improving rescue operations in disasters: approaches about task allocation and re-scheduling. In Proceedings of the 24th Annual Workshop of the UK Planning and Scheduling Special Interest Group (pp. 66-75). .
  • Tanigawa, M., Takahashi, T., Koto, T., Takeuchi, I. & Noda, I. (2005). Urban flood simulation as a component of integrated earthquake disaster simulation system. In Proceedings of the IEEE International Safety, Security and Rescue Rototics (pp. 248-252). Piscataway, NJ: IEEE. [ doi ]

2004

  • Bertinshaw, D. J. & Guesgen, H. W. (2004). Physical approximations for urban fire spread simulations. In V. Barr & Z. Markov (Eds.), Proceedings of the 7th International Florida Artificial Intelligence Research Society Conference (pp. 783-788). Palo Alto, CA: AAAI Press.
  • Bitaghsir, A. A., Taghiyareh, F., Simjour, A. H. & Khajenejad, A. (2004). A hybrid neuro-fuzzy approach to intelligent behavior acquisition in complex multi-agent systems. In Proceedings of the 5th World Scientific and Engineering Academy and Society International Conference on Neural Networks and Applications (Vol. 483, pp. 186-197). .
  • Bitaghsir, A. A., Taghiyareh, F., Simjour, A., Mazlumian, A. & Bostan, B. (2004). A layered approach to learning intelligent behaviours in rescue robot simulation system using fuzzy logic and neural networks. In Proceedings of the World Automation Congress (Vol. 17, pp. 507-512). Piscataway, NJ: IEEE.
  • Farinelli, A., Grisetti, G., Iocchi, L., Cascio, S. L. & Nardi, D. (2004). RoboCup Rescue Simulation: Methodologies tools and evaluation for practical applications. In D. Polani, B. Browning, A. Bonarini & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (Vol. 3020, pp. 645-653). Berlin Heidelberg: Springer. [ doi ]
  • Iwata, K., Miyazaki, M., Ito, N. & Ishii, N. (2004). Increasing the efficiency of cooperation among agents by sharing actions. In C. V. Ramamoorthy, R. Lee & K. W. Lee (Eds.), Software Engineering Research and Applications (Vol. 3026, pp. 279-289). Berlin Heidelberg: Springer. [ doi ]
  • Kitano, H. (2004). Challenges in robust situation recognition through information fusion for mission criticial multi-agent systems. In D. Polani, B. Browning, A. Bonarini & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (Vol. 3020, pp. 35-42). Berlin Heidelberg: Springer. [ doi ]
  • Kleiner, A. & Göbelbecker, M. (2004). Rescue3D: Making rescue simulation attractive to the public (No. 00229). Freiburg im Breisgau: Institut für Informatik, Universität Freiburg.
  • Mohammadi, Y., Akbarzadeh-T, M.-R. & Khademi, M. (2004). Hybrid fuzzy task allocation algorithm for multi agent systems in rescue simulation environment. In Proceedings of the World Automation Congress (Vol. 16, pp. 175-180). Piscataway, NJ: IEEE.
  • Post, S. B. M., Fassaert, M. L. & Visser, A. (2004). The high-level communication model for multi-agent coordination in the RoboCupRescue simulator. In D. Polani, B. Browning, A. Bonarini & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (Vol. 3020, pp. 503-509). Berlin Heidelberg: Springer. [ doi ]
  • Seem, P., Farinelli, A., Okamoto, S. & Tambe, M. (2004). Token approach for role allocation in extreme teams: Analysis and experimental evaluation. In Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (pp. 397-402). Piscataway, NJ: IEEE. [ doi ]
  • Shinoda, K., Noda, I., Ohta, M. & Kunifuji, S. (2004). Application of parallel scenario description for RoboCupRescue civilian agent. In D. Polani, B. Browning, A. Bonarini & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (Vol. 3020, pp. 628-636). Berlin Heidelberg: Springer. [ doi ]
  • Takahashi, T., Kaneda, Y. & Ito, N. (2004). Preliminary study-using robocuprescue simulations for disasters prevention. In Proceedings of the 2nd International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-6). .

2003

  • Ahmadi, M., Takahashi, T., Habibi, J. & Koto, T. (2003). RoboCupRescue system and Arian: A flexible infrastructure for multi-agent research and education. In Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (pp. 351-355). Piscataway, NJ: IEEE. [ doi ]
  • Farinelli, A., Grisetti, G., Iocchi, L., Lo Cascio, S. & Nardi, D. (2003). Design and evaluation of multi agent systems for rescue operations. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (Vol. 4, pp. 3138-3143). Piscataway, NJ: IEEE. [ doi ]
  • Farinelli, A., Grisetti, G., Iocchi, L., Lo Cascio, S. & Nardi, D. (2003). Using the RoboCup-Rescue simulator in an Italian earthquake scenario. In Proceedings of the 1st International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-6). .
  • Fassaert, M. L., Post, S. B. M. & Visser, A. (2003). The common knowledge model of a team of rescue agents. In Proceedings of the 1st International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-3). .
  • Habibi, J., Ahmadi, M., Nouri, A., Sayyadian, M. & Nevisi, M. M. (2003). Implementing heterogeneous agents in dynamic environments, a case study in RoboCupRescue. In M. Schillo, M. Klusch, J. Müller & H. Tianfield (Eds.), Multiagent System Technologies (Vol. 2831, pp. 95-104). Berlin Heidelberg: Springer. [ doi ]
  • Iwata, K., Miyazaki, M., Ito, N. & Ishii, N. (2003). Estimation of cooperative agents behavior in a fire disaster. In W. Dosch & R. Y. Lee (Eds.), Proceedings of the ACIS 4th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 472-478). Mt. Pleasant, MI: ACIS.
  • Kaneda, T., Yano, H., Misaka, T., Suzuki, T. & Yamada, T. (2003). A study on pedestrian flow by using an agent model: A simulation analysis on the Asagiri Overpass accident, 2001. In T. Terano, H. Deguchi & K. Takadama (Eds.), Meeting the Challenge of Social Problems via Agent-Based Simulation (pp. 185-196). Tokyo: Springer. [ doi ]
  • López, B., Suárez, S. & de la Rosa, J. (2003). Task allocation in rescue operations using combinatorial auctions. In I. Aguiló, L. Valverde & M. T. Escrig (Eds.), Artificial Intelligence Research and Development (pp. 233-243). Amsterdam: IOS Press.
  • Nair, R., Tambe, M. & Marsella, S. (2003). Role allocation and reallocation in multiagent teams. In Proceedings of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 552-559). New York, NY: ACM. [ doi ]
  • Nair, R., Tambe, M. & Marsella, S. (2003). Team formation for reformation in multiagent domains like RoboCupRescue. In G. A. Kaminka, P. U. Lima & R. Rojas (Eds.), RoboCup 2002: Robot Soccer World Cup VI (Vol. 2752, pp. 150-161). Berlin Heidelberg: Springer. [ doi ]
  • Scerri, P., Pynadath, D., Johnson, L., Rosenbloom, P., Si, M., Schurr, N. & Tambe, M. (2003). A prototype infrastructure for distributed robot-agent-person teams. In Proceedings of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 433-440). New York, NY: ACM. [ doi ]
  • Suárez, S., López, B. & de la Rosa, J. L. (2003). Co-operation strategies for strengthening civil agents’ lives in the RoboCup-Rescue simulator scenario. In Proceedings of the 1st International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (pp. 1-5). .
  • Suárez, S., López, B., Josep, L. & del Acebo, E. (2003). Integration of fuzzy filtering, case-based reasoning and multiple criteria decision techniques in rescue operations. In Proceedings of the Workshop on Physical Agents (Vol. 200, pp. 125-127). .
  • Takahashi, T. (2003). RoboCupRescue Simulation League. In G. A. Kaminka, P. U. Lima & R. Rojas (Eds.), RoboCup 2002: Robot Soccer World Cup VI (Vol. 2752, pp. 477-481). Berlin Heidelberg: Springer. [ doi ]

2002

  • Frank, I., Tanaka-Ishii, K., Matsubara, H. & Osawa, E. (2002). Walkie-talkie MIKE. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 343-349). Berlin Heidelberg: Springer. [ doi ]
  • Ito, N., Esaki, T. & Ishii, N. (2002). A cooperative agent model by forming a group. In Proceedings of the 2002 IEEE International Conference on Industrial Technology (Vol. 2, pp. 1260-1265). Piscataway, NJ: IEEE. [ doi ]
  • Koto, T. & Takeuchi, I. (2002). The distributed simulation of RoboCup Rescue version 1. In Proceedings of the 41st SICE Annual Conference (Vol. 2, pp. 871-874). Piscataway, NJ: IEEE. [ doi ]
  • Kuwata, Y. & Shinjoh, A. (2002). Building user models for RoboCup-Rescue visualization. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 417-422). Berlin Heidelberg: Springer. [ doi ]
  • Morimoto, T., Kono, K. & Takeuchi, I. (2002). YabAI the first Rescue Simulation League champion. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 49-59). Berlin Heidelberg: Springer. [ doi ]
  • Nair, R., Ito, T., Tambe, M. & Marsella, S. (2002). Task allocation in the RoboCup Rescue Simulation domain: A short note. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 751-754). Berlin Heidelberg: Springer. [ doi ]
  • Noda, I., Takahashi, T., Morita, S., Koto, T. & Tadokoro, S. (2002). Language design for rescue agents. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 164-172). Berlin Heidelberg: Springer. [ doi ]
  • Padgham, L., Thangarajah, J., Poutakidis, D. & Fernando, C. (2002). Team description for RMIT-on-Fire: Robocup Rescue Simulation team 2001. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 755-757). Berlin Heidelberg: Springer. [ doi ]
  • Sakushima, T., Esaki, T., Asai, Y., Ito, N. & Wada, K. (2002). A design of agents for the disaster simulator on RoboCup-Rescue. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 743-746). Berlin Heidelberg: Springer. [ doi ]
  • da Silva, P. T. C., Filipe, P. P. & Coelho, H. M. F. (2002). Incomplete information exchange in a simulation environment: A communication layer approach. In G. Lindemann, D. Moldt, M. Paolucci & B. Yu (Eds.), Proceedings of the International Workshop on Regulated Agent-Based Social Systems: Theories and Applications (pp. 1-17). .
  • Takahashi, T., Tadokoro, S., Ohta, M. & Ito, N. (2002). Agent based approach in disaster rescue simulation: From test-bed of multiagent system to practical application. In A. Birk, S. Coradeschi & S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (Vol. 2377, pp. 102-111). Berlin Heidelberg: Springer. [ doi ]

2001

  • Au, G., Goss, S., Heinze, C. & Pearce, A. R. (2001). RescueModel: A multi-agent simulation of bushfire disaster management. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 285-290). Berlin Heidelberg: Springer. [ doi ]
  • Kaneda, T., Matsuno, F., Takahashi, H., Matsui, T., Atsumi, M., Hatayama, M., Tayama, K., Chiba, R. & Takeuchi, K. (2001). Simulator complex for RoboCup Rescue Simulation Project: As test-bed for multi-agent organizational behavior in emergency case of large-scale disaster. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 321-326). Berlin Heidelberg: Springer. [ doi ]
  • Kitano, H. & Tadokoro, S. (2001). RoboCup Rescue: A grand challenge for multiagent and intelligent systems. AI Magazine, 22(1), 39-52. [ doi ]
  • Kuwata, Y. & Shinjoh, A. (2001). Design of RoboCup-Rescue Viewers: Towards a real world emergency system. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 159-168). Berlin Heidelberg: Springer. [ doi ]
  • Ohta, M., Takahashi, T. & Kitano, H. (2001). Robocup-Rescue simulation: In case of fire fighting planning. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 351-356). Berlin Heidelberg: Springer. [ doi ]
  • Stone, P., Asada, M., Balch, T., Fujita, M., Kraetzschmar, G., Lund, H., Scerri, P., Tadokoro, S. & Wyeth, G. (2001). Overview of RoboCup-2000. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 1-29). Berlin Heidelberg: Springer. [ doi ]
  • Takahashi, T., Takeuchi, I., Koto, T., Tadokoro, S. & Noda, I. (2001). RoboCup-Rescue disaster simulator architecture. In P. Stone, T. Balch & G. Kraetzschmar (Eds.), RoboCup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 379-384). Berlin Heidelberg: Springer. [ doi ]

2000

  • Matsuno, F., Hatayama, M., Takahashi, H., Kaneda, T. & Matsui, T. (2000). GIS and disaster simulators in a prototype system of the RoboCup-Rescue simulation project. In Proceedings of the International Conference on Multiagent Systems Workshop Working Notes (pp. 49-58). .
  • Ohta, M., Koto, T., Takeuchi, I., Takahashi, T. & Kitano, H. (2000). Design and implementation of the kernel and agents for the RoboCup-Rescue. In Proceedings of the 4th International Conference on MultiAgent Systems (pp. 423-424). Piscataway, NJ: IEEE. [ doi ]
  • Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Ohta, M., Tayama, M., Matsui, T., Kaneda, T., Chiba, R., Takeuchi, K., Nobe, J., Noguchi, K. & Kuwata, Y. (2000). The RoboCup-Rescue: An IT challenge to emergency response problem in disaster. In Proceedings of the 2000 26th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 126-131). Piscataway, NJ: IEEE. [ doi ]
  • Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Nobe, J. & Shimada, S. (2000). The RoboCup-Rescue project: A robotic approach to the disaster mitigation problem. In Proceedings of the 2000 IEEE International Conference on Robotics and Automation (Vol. 4, pp. 4089-4094). Piscataway, NJ: IEEE. [ doi ]
  • Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Nobe, J. & Shimada, S. (2000). RoboCup-Rescue: An international cooperative research project of robotics and AI for the disaster mitigation problem. In G. R. Gerhart, R. W. Gunderson & C. M. Shoemaker (Eds.), Unmanned Ground Vehicle Technology II (Vol. 4024, pp. 1-10). Bellingham, WA: SPIE. [ doi ]
  • Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Ohta, M., Tayama, M., Matsui, T., Kaneda, T., Chiba, R., Takeuchi, K., Nobe, J., Noguchi, K. & Kuwata, Y. (2000). RoboCup Rescue project. Advanced Robotics, 14(5), 423-425. [ doi ]
  • Takahashi, T., Takeuchi, I., Matsuno, F. & Tadokoro, S. (2000). Rescue simulation project and comprehensive disaster simulator architecture. In Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (Vol. 3, pp. 1894-1899). Piscataway, NJ: IEEE. [ doi ]
  • Wijermans, N. (2000). Crowd modeling and control in a RoboCup Rescue domain.
  • Yoshimura, K., Rönnquist, R. & Sonenberg, L. (2000). An approach to specifying coordinated agent behaviour. In C. Zhang & V. W. Soo (Eds.), Design and Applications of Intelligent Agents (Vol. 1881, pp. 115-127). Berlin Heidelberg: Springer. [ doi ]

1999

  • Kitano, H., Tadokoro, S., Noda, I., Matsubara, H., Takahashi, T., Shinjou, A. & Shimada, S. (1999). RoboCup Rescue: Search and rescue in large-scale disasters as a domain for autonomous agents research. In Proceedings of the 1999 IEEE International Conference on Systems, Man, and Cybernetics (Vol. 6, pp. 739-743). Piscataway, NJ: IEEE. [ doi ]
  • Shinjoh, A., Yoshida, S., Yamamura, A., Tadokoro, S., Kitano, H., Kuwata, Y., Takahashi, T., Takahashi, H. & Ishi, T. (1999). Wearable system for disaster mitigation problem: Mission-critical man-machine interface for the RoboCup-Rescue simulator. In Proceedings of the 9th International Conference on Artificial Reality and Telexistence (pp. 1-6). .

1997

  • Jennings, J. S., Whelan, G. & Evans, W. F. (1997). Cooperative search and rescue with a team of mobile robots. In Proceedings of the 8th International Conference on Advanced Robotics (pp. 193-200). Piscataway, NJ: IEEE. [ doi ]