Using the cassiopeia method to design a robot soccer team

Applied Artificial Intelligence

Volumn 12, Issue 2-3, 1998, Pages 127-147

  Collinot, Anne ^a   Drogoul, Alexis ^a  

^a SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; ROBOTICS;

CASSIOPEIA METHOD;

ARTIFICIAL INTELLIGENCE;

EID: 0032019075     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/088395198117794     Document Type: Article

References (21)

1. Avouris, N., and L. Gasser (eds.). 1992. Distributed AI: Theory and praxis. Norwell, Mass.: Kluwer Academic.
2. Bouron, T., and A. Collinot. 1992. SAM: A model to design computational social agents. In Proceedings of the Tenth European Conference on Artificial Intelligence, pp. 239-243.
3. Castelfranchi, C., M. Miceli, and A. Cesta. 1992. Dependence relations among autonomous agents. In Decentralized AI 3, eds. E. Werner and Y. Demazeau. New York: North-Holland.
4. Chaib-draa, B. 1992. Distributed intelligence: An annotated bibliography. SIGAKTBulletin 3(3).
5. Collinot, A., P. Carle, and K. Zeghal. 1995. Cassiopeia: A method for designing computational organizations. Presented at the First International Workshop on Decentralized Intelligent Multi-Agent Systems, Poland.
6. Collinot, A., A. Drogoul, and P. Benhamou. 1996. Agent oriented design of a soccer robot team. Presented at the Second International Conference on Multiagent Systems, Japan.
7. Decker, K. S. 1987. Distributed problem-solving techniques: A survey. IEEE Transactions on Systems, Man and Cybernetics 17(5).
8. Demazeau, Y., and J.-P. Muller (eds.). 1991. Decentralized AI. 2. New York: North-Holland.
9. Drogoul, A., B. Corbara, and S. Lalande. 1995. MANTA: New experimental results on the emergence of (artificial) ant societies. In Artificial Societies, eds. N. Gilbert and R. Conte. UCL Press.
10. Erdmann, M., and T. Lozano-Pérez. 1986. On multiple moving objects. Presented at the IEEE International Conference on Robotics and Automation.
11. Holland, J. H., and J. S. Reitmann. 1978. Cognitive systems based on adaptive algorithms. In Pattern directed inference systems, eds. D. A. Watermann and F. Hayes-Roth. San Diego, Calif.: Academic.
12. Kitano, H., A. Minoru, Y. Kuniyoshi, I. Noda, and E. Osawa. 1995. RoboCup: The robot world cup initiative. Presented at the Workshop on Entertainment and AI/Alife, IJCAI.
13. Le Pape, C. 1990. A combination of centralized and distributed methods for multiagent planning and scheduling. Presented at the IEEE International Conference on Robotics and Automation, Cincinnati.
14. Moulin, B., and L. Cloutier. 1994. Collaborative work based on multiagent architectures: A methodological perspective. In Soft computing: Fuzzy logic, neural networks and distributed artificial intelligence, eds. F. Aminzadeh and M. Jamshidi, pp. 261-296. Englewood Cliffs, N.J.: Prentice-Hall.
15. Rosenschein, J., and M. Genesereth. 1985. Deals among rational agents. Presented at the 9th International Joint Conference on Artificial Intelligence.
16. Rumbaugh, J., M. Blaha, F. Eddy, W. Premerlani, and W. Lorensen. 1991. Object oriented modeling and design. Englewood Cliffs, N.J.: Prentice-Hall.
17. Sichman, J., and Y. Demazeau. 1995. Exploiting social reasoningto deal with agency level inconsistency. Presented at the First International Conference on Multiagent Systems, San Francisco.
18. Smith, R. G., and R. Davis. 1980. The contract net protocol: High-level communication and control in a distributed problem-solver. IEEE Transactions on Computers, C29(12).
19. Sycara, K. 1989. Multiagent compromise via negotiation. In Distributed artificial intelligence II, eds. L. G’sser and M. Huhns. San Mateo, Calif.: Morgan Kaufmann.
20. Werner, E., and Y. Demazeau (eds.). 1992. Decentralized AI. 3. New York: North-Holland.
21. Yourdon E. 1989. Modern structured analysis. Englewood Cliffs, N.J.: Yourdon Press.