Verifying plans for multiple agents

Abstract Research in distributed artificial intelligence planning has historically focused on two distinct classes of problems. One paradigm has been that of 'planning for multiple agents', which considers issues inherent in centrally directed multi-agent execution. The second paradigm has been 'distributed planning', where multiple agents more autonomously participate in coordinating and deciding upon their own actions. The work described in this paper is in the first category, planning for multiple agents. Taking the STRIPS representation of actions, and directed acrylic graphs (DAGs) as plan representations particularly well suited to parallel execution, it formally analyses the following question: how can a DAG plan be verified (i.e. how can we be sure such a plan will be correct, given our uncertainty about exactly when unconstrained parallel actions will be performed)? A method is presented for verifying the correctness of plans for multiple agents, represented as DAGs. The technique allows for the ...

[1]  Edwin P. D. Pednault,et al.  FORMULATING MULTIAGENT, DYNAMIC-WORLD PROBLEMS IN THE CLASSICAL PLANNING FRAMEWORK , 1987 .

[2]  Eithan Ephrati,et al.  The Clarke Tax as a Consensus Mechanism Among Automated Agents , 1991, AAAI.

[3]  Michael P. Georgeff,et al.  A Theory of Action for MultiAgent Planning , 1984, AAAI.

[4]  Eithan Ephrati,et al.  Multi-Agent Planning as Search for a Consensus that Maximizes Social Welfare , 1992, MAAMAW.

[5]  James F. Allen,et al.  Planning Using a Temporal World Model , 1983, IJCAI.

[6]  Daniel D. Corkill,et al.  A framework for organizational self-design in distributed problem solving networks , 1983 .

[7]  Edmund H. Durfee,et al.  Cooperation through communication in a distributed problem-solving network , 1990 .

[8]  A. Lansky.  A REPRESENTATION OF PARALLEL ACTIVITY BASED ON EVENTS, STRUCTURE, AND CAUSALITY , 1987 .

[9]  Daniel D. Corkill,et al.  Hierarchical Planning in a Distributed Environment , 1979, IJCAI.

[10]  Jeffrey S. Rosenschein,et al.  Synchronization of Multi-Agent Plans , 1982, AAAI.

[11]  Michael P. Georgeff,et al.  Communication and interaction in multi-agent planning , 1983, AAAI 1983.

[12]  G. Zlotkin,et al.  Cooperation and conflict resolution via negotiation among autonomous agents in noncooperative domains , 1991, IEEE Trans. Syst. Man Cybern..

[13]  Reid G. Smith,et al.  A framework for problem solving in a distributed processing environment , 1978 .

[14]  Matthew J. Katz,et al.  Plans for Multiple Agents , 1989, Distributed Artificial Intelligence.

[15]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[16]  Earl D. Sacerdoti,et al.  The Nonlinear Nature of Plans , 1975, IJCAI.

[17]  Jeffrey S. Rosenschein,et al.  Incomplete Information and Deception in Multi-Agent Negotiation , 1991, IJCAI.

[18]  Christopher Stuart,et al.  An Implementation of a Multi-Agent Plan Synchronizer , 1985, IJCAI.

[19]  Jeffrey S. Rosenschein,et al.  Deals Among Rational Agents , 1985, IJCAI.

[20]  David Chapman,et al.  Planning for Conjunctive Goals , 1987, Artif. Intell..