ECAI 2004 Conference Paper

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Negotiation in State-Oriented Domains with Incomplete Information over Goals

Shlomit Bergman, Elan Pavlov, Jeffrey S. Rosenschein

State Oriented Domains (SODs) are domains where agents are concerned with moving the world from an initial state into one of a set of target states. Negotiation in this environment was explored by Rosenschein and Zlotkin, who provided an analysis of incentive compatible mechanisms over a variety of two-agent, single-encounter types. Their model included the concept of an agent's worth (the agent's benefit from achieving its goal), using it as a baseline for utility calculation of a negotiation's outcome. One scenario left unexamined, however, was the case where agents know one another's worths, but not one another's goals. This situation creates the possibility of agents' lying to one another solely about goals, to influence the outcome of a negotiation. In this paper, we explore this specific case of known worths and unknown goals in two-agent State Oriented Domains, in a variety of encounter types. Through analysis and examples, it is shown that an agent can benefit from declaring less costly goals, but that there are certain limits to the lies an agent can beneficially declare. We also analyze the connection of this work to classic game theory results, including general work on incentive compatible mechanisms and the revelation principle.

Keywords: Multi-Agent Systems, Distributed AI, Negotiation, Autonomous Agents, Incentive Compatible Mechanisms, Game Theory

Citation: Shlomit Bergman, Elan Pavlov, Jeffrey S. Rosenschein: Negotiation in State-Oriented Domains with Incomplete Information over Goals. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.3-7.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).