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Such problems have been considered in the AI literature on multi-agent systems in particular, concerning cooperation and negotiation (eg, Carbonell, 1981; Zlotkin and Rosenschein, 1985; Kreifelts and Martial, 1990; Georgeff, 1983; Durfee, 1988; Jennings, 1995) They have also been studied in game theory and formal veri cation under various forms (eg, Osborne and Rubinstein, 1994; De Alfaro, Henzinger, and Kupferman, 1998) The novelty of our work is twofold First, we introduce adversarial planning problems and a class of adversarial plans called strong cyclic adversarial plans An adversarial planning domain has a single system agent that is controllable and a single environment agent that is uncontrollable and may be an opponent to the system agent The task is to synthesize plans for the system agent that is robust to any plan of the environment agent.

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We go beyond theoretical work and present an OBDD-based planning algorithm that ef ciently can generate strong cyclic adversarial plans This algorithm has been fully implemented in the OBDD-Based Informed Planning and Controller Synthesis Tool (BIFROST) 07 (Jensen, 2003) Second, we formally de ne our concept of multi-agent planning equilibria for multi-agent domains inspired by the game theoretic notion of equilibria (Owen, 1995) In Section 102, we begin by presenting the foundations of our research on multiagent planning equilibria First, we demonstrate intuitively through simple examples that plan solutions depend on the goals of all the agents We also present the formal notion of a planning domain that we use throughout the chapter In Section 103, we introduce adversarial planning We present an algorithm for synthesizing adversarial plans and demonstrate theoretically and experimentally that the generated plans are robust to any strategy of the environment.

High quality relates to less compression, whereas Minimum quality relates to high compression For high-end prepress, use the High quality setting (that is, Maximum) For desktop color printers, use Medium quality; and for Web, screen, or CD-ROM replication, use Low quality The Minimum setting might be used in some cases with screen or Web graphics, but when viewing continuous tone photographs, they will often appear visibly degraded You might use this setting to transfer files quickly across the Internet for client approvals, and then later use a higher setting for the final production documents..

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In Section 106, we generalize the notion of accounting for an adversary with the solution concept of multi-agent planning equilibria We formalize this notion for planning environments where all the agents goals are explicitly speci ed We also analyze this notion of equilibria in a variety of domains..

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