Learning from humans: Agent modeling with individual human behaviors

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 41, Issue 1, 2011, Pages 1-9

  Hattori, Hiromitsu ^a   Nakajima, Yuu ^a   Ishida, Toru ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Modeling methodology; multiagent simulation; participatory modeling; traffic simulation

Indexed keywords

AGENT MODEL; AGENT MODELING; BEHAVIOR MODEL; DRIVING BEHAVIOR; HUMAN BEHAVIORS; HUMAN DRIVERS; HUMAN DRIVING BEHAVIOR; HYBRID MODEL; INDIVIDUAL BEHAVIOR; KEY TECHNOLOGIES; MODELING METHODOLOGY; MULTI AGENT BASED SIMULATIONS; MULTI AGENT SIMULATION; MULTI-AGENT RESEARCH; PARTICIPATORY MODELING; PRIOR KNOWLEDGE; TRAFFIC SIMULATIONS;

HUMAN COMPUTER INTERACTION; MULTI AGENT SYSTEMS; TRAFFIC CONTROL;

BEHAVIORAL RESEARCH;

EID: 78349311743     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2010.2055152     Document Type: Article

References (23)

1. M. Jacyno, S. Bullock, M. Luck, and T. Payne, "Emergent service provisioning and demand estimation through self-organizing agent communities, " in Proc. 8th Int. Joint Conf. AAMAS, 2009, pp. 481-488.
2. L. S. Tesfatsion, "Introduction to the special issue on agent-based computational economics, " J. Econ. Dyn. Control, vol. 25, no. 3-4, pp. 281-293, Mar. 2001.
3. S. M. Lee and A. R. Pritchett, "Predicting interactions between agents in agent-based modeling and simulation of sociotechnical systems, " IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 38, no. 6, pp. 1210-1220, Nov. 2008.
4. M. Vasirani and S. Ossowski, "A market-inspired approach to reservationbased urban road traffic management, " in Proc. 8th Int. Joint Conf. AAMAS, 2009, pp. 617-624.
5. T. Moyaux, B. Chaib-draa, and S. D'Amours, "Multi-agent simulation of collaborative strategies in a supply chain, " in Proc. 3rd Int. Joint Conf. AAMAS, 2004, pp. 52-59.
6. L. Panait, "A pheromone-based utility model for collaborative foraging, " in Proc. 3rd Int. Joint Conf. AAMAS, 2004, pp. 36-43.
7. A. Campbell and A. S. Wu, "On the significance of synchroneity in emergent systems, " in Proc. 8th Int. Conf. AAMAS, 2009, pp. 449-456.
8. D. Torii, T. Ishida, and F. Bousquet, "Modeling agents and interactions in agricultural economics, " in Proc. 5th Int. Joint Conf. AAMAS, 2006, pp. 81-88.
9. T. Ishida, Y. Nakajima, Y. Murakami, and H. Nakanishi, "Augmented experiment: Participatory design with multiagent simulation, " in Proc. 20th IJCAI, 2007, pp. 1341-1346.
10. M. Balmer, N. Cetin, K. Nagel, and B. Raney, "Towards truly agent-based traffic and mobility simulations, " in Proc. 3rd Int. Joint Conf. AAMAS, 2004, pp. 60-67.
11. S. Halle and B. Chaib-draa, "A collaborative driving system based on multiagent modelling and simulations, " J. Transp. Res. Part C, vol. 13, no. 4, pp. 320-345, Aug. 2005.
12. P. Paruchuri, A. R. Pullalarevu, and K. Karlapalem, "Multi agent simulation of unorganized traffic, " in Proc. 1st Int. Joint Conf. AAMAS, 2002, pp. 176-183.
13. F. Sempé, M. D. Nguyen, A. Boucher, and A. Drogoul, "An artificial maieutic approach for eliciting experts' knowledge in multi-agent simulations, " in Proc. 4th Int. Joint Conf. AAMAS, 2005, pp. 1361-1362.
14. P. Guyot, A. Drogoul, and S. Honiden, "Power and negotiation: Lessons from agent-based participatory simulations, " in Proc. 5th Int. Joint Conf. AAMAS, 2006, pp. 27-33. (Pubitemid 46609426)
15. T. Conde and D. Thalmann, "Learnable behavioural model for autonomous virtual agents: Low-level learning, " in Proc. 5th Int. Joint Conf. AAMAS, 2006, pp. 89-95.
16. J. M. Vidal and E. H. Durfee, "Predicting the expected behavior of agents that learn about agents: The CLRI framework, " Auton. Agents Multi-Agent Syst., vol. 6, no. 1, pp. 77-107, Jan. 2003.
17. D. Poole, "Theorist: A logical reasoning system for defaults and diagnosis, " in The Knowledge Frontier. New York: Springer-Verlag, 1987.
18. Y. Murakami, Y. Sugimoto, and T. Ishida, "Modeling human behavior for virtual training systems, " in Proc. 4th Int. Joint Conf. AAMAS, 2005, pp. 127-132.
19. R. J. Mooney, "Learning plan schemata from observation: Explanationbased learning for plan recognition, " Cogn. Sci., vol. 14, no. 4, pp. 483-509, Oct.-Dec. 1990.
20. J. Hourdakis, P. G. Michalopoulos, and J. Kottommannil, "Practical procedure for calibrating microscopic traffic simulation models, " in Proc. TRB 82nd Annu. Meeting, 2003, pp. 130-139.
21. Y. Xiang and V. Lesser, "On the role of multiply sectioned Bayesian networks to cooperative multiagent systems, " IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 33, no. 4, pp. 489-501, Jul. 2003.
22. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques. Cambridge, MA: MIT Press, 2009.
23. A. L. C. Bazzan, "Opportunities for multiagent systems and multiagent reinforcement learning in traffic control, " Auton. Agents Multi-Agent Syst., vol. 18, no. 3, pp. 342-375, Jun. 2009.