Game−Theoretic Agent Programming in Golog

Conference item

We present the agent programming language GTGolog, which integrates explicit agent programming in Golog with game-theoretic multi-agent planning in Markov games. It is a generalization of DTGolog to a multi-agent setting, where we have two competing single agents or two competing teams of agents. The language allows for specifying a control program for a single agent or a team of agents in a high-level logical language. The control program is then completed by an interpreter in an optimal way against another single agent or another team of agents, by viewing it as a generalization of a Markov game, and computing a Nash strategy. We illustrate the usefulness of this approach along a robotic soccer example.

Authors: Finzi, A; Lukasiewicz, T

• Publisher: IOS Press
• Host title: Proceedings of the 16th Eureopean Conference on Artificial Intelligence‚ ECAI 2004‚ Valencia‚ Spain‚ August 22−27‚ 2004
• Publication date: 2004-01-01
• ISBN: 1586034529