A cooperative problem-solving process in hierarchical organization

In this paper, we present a model for a cooperative problem solving process. The model consists of four distinct phases: Recognition, Skills' Search, Agents' Choice and Execution. These different behavior-driven phases of our model describe the circumstances under which agents will identify the need for cooperation, and how these agents will behave when such situations arise.

[1]  Nicholas R. Jennings,et al.  The Cooperative Problem-solving Process , 1999, J. Log. Comput..

[2]  Jean-Pierre Briot,et al.  Principes et architecture des systèmes multi-agents , 2000 .

[3]  Brahim Chaib-draa,et al.  Industrial applications of distributed AI , 1995, CACM.

[4]  Michael Wooldridge,et al.  Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI 97, Nagoya, Japan, August 23-29, 1997, 2 Volumes , 1997, IJCAI.

[5]  Edmund H. Durfee,et al.  Coordination of distributed problem solvers , 1988 .

[6]  Afsaneh Haddadi,et al.  Communication and Cooperation in Agent Systems: A Pragmatic Theory , 1996 .

[7]  Li Changhong,et al.  Cooperation structure of multi-agent and algorithms , 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

[8]  Habib Abdulrab,et al.  Coordination, Cooperation and Conflict Resolution in Multi-Agent Systems , 2007 .

[9]  Hector J. Levesque,et al.  On Acting Together , 1990, AAAI.

[10]  Michael Wooldridge,et al.  Formalizing the Cooperative Problem Solving Process , 1994 .

[11]  Hector J. Levesque,et al.  Rational interaction as the basis for communication , 2003 .

[12]  Reid G. Smith,et al.  A Framework for Distributed Problem Solving , 1979, IJCAI.

[13]  Jeffrey S. Rosenschein,et al.  Rules of Encounter - Designing Conventions for Automated Negotiation among Computers , 1994 .

[14]  Nicholas R. Jennings,et al.  Towards a Theory of Cooperative Problem Solving , 1994, MAAMAW.