Game theoretic Golog under partial observability

We present the agent programming language POGTGolog, which combines explicit agent programming in Golog with game-theoretic multi-agent planning in a special kind of partially observable stochastic games (POSGs). The approach allows for partially specifying a high-level control program for a system of multiple agents, and for optimally filling in missing details by viewing it as a generalization of a special POSG and computing a Nash equilibrium. Categories and Subject Descriptors I.2 [Computing Methodologies]: Artificial Intelligence General Terms Languages, algorithms Keywords Game-theoretic agent programming, Golog, POSG

• Type: Conference
• Year: 2005
• Where: ATAL
• Authors: Alberto Finzi, Thomas Lukasiewicz
• Keywords: Agent Programming, ATAL 2005, Explicit Agent Programming, Game-theoretic Multi-agent Planning