Of Mechanism Design and Multiagent Planning

Multiagent planning methods are concerned with planning by and for a group of agents. If the agents are selfinterested, they may be tempted to lie in order to obtain an outcome that is more rewarding for them. We therefore study the multiagent planning problem from a mechanism design perspective, showing how to incentivise agents to be truthful. We prove that the well-known truthful VCG mechanism is not always truthful in the context of optimal planning, and present a modi cation to x this. Finally, we present some (domain-dependent) poly-time planning algorithms using this x that maintain truthfulness in spite of their non-optimality.

[1]  Keith S. Decker,et al.  Coordinating Mutually Exclusive Resources using GPGP , 2000, Autonomous Agents and Multi-Agent Systems.

[2]  A. Gibbard Manipulation of Voting Schemes: A General Result , 1973 .

[3]  Tom Bylander,et al.  The Computational Complexity of Propositional STRIPS Planning , 1994, Artif. Intell..

[4]  Michel Gendreau,et al.  Combinatorial auctions , 2007, Ann. Oper. Res..

[5]  Malte Helmert,et al.  New Complexity Results for Classical Planning Benchmarks , 2006, ICAPS.

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

[7]  Malte Helmert,et al.  Aproximation Properties of Planning Benchmarks , 2006, ECAI.

[8]  Mathijs de Weerdt,et al.  Coordination Through Plan Repair , 2005, MICAI.

[9]  Sébastien Konieczny,et al.  Extending Classical Planning to the Multi-agent Case: A Game-Theoretic Approach , 2007, ECSQARU.

[10]  Malte Helmert,et al.  Complexity results for standard benchmark domains in planning , 2003, Artif. Intell..

[11]  Noam Nisan,et al.  Computationally feasible VCG mechanisms , 2000, EC '00.

[12]  Stefan Edelkamp,et al.  Automated Planning: Theory and Practice , 2007, Künstliche Intell..

[13]  Yoav Shoham,et al.  Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations , 2009 .

[14]  N. Nisan Introduction to Mechanism Design (for Computer Scientists) , 2007 .

[15]  John K. Slaney,et al.  Blocks World revisited , 2001, Artif. Intell..