Behav 49:363–373, 2004), represents one of the most ingenious and potentially far-reaching applications of ideas from computer science in game theory to date. The basic idea is that a player in a game selects a strategy by entering a program, whose behaviour may be conditioned on the programs submitted by other players. Thus, for example, in the prisoner’s dilemma, a player can enter a program that says “If his program is the same as mine, then I cooperate, otherwise I defect”. It can easily be shown that if such programs are permitted, then rational cooperation is possible even in the one-shot prisoner’s dilemma. In the original proposal of Tennenholtz, comparison between programs was limited to syntactic comparison of program texts. While...
Through examples this chapter illuminates the features that distinguish the ‘con-sistent preferences...
An increasingly popular, but of course not uncontroversial1, view is that “the fundamental insight o...
We present systems of logic programming agents (LPAS) to model the interactions between decision-ma...
In order to succeed, agents playing games must reason about the mechanics of the game, the strategie...
Applications of game theory often neglect that real-world agents normally have some amount of out-of...
When players in a game can communicate they may learn each other’s strategy. It is then natural to d...
In this paper we present a framework for logic programming agents to take part in games in such a wa...
Rational decisions depend on what players know, hence an appropriate epistemic analysis is an integr...
Abstract. We present a framework for decision making with circumstance-dependent preferences and dec...
Model checking is the best-known and most successful approach to formally verifying that systems sat...
The operational semantics of defeasible logic programming (justification process) is based on a dial...
Players in a game are assumed to be totally rational and absolutely smart. However, in reality all p...
We develop and analyze an axiomatic model of strategic thinking in games, and demonstrate that it ac...
Current methods for solving games embody a form of "procedural rationality" that invites logical ana...
As a contribution to the challenge of building game-playing AI systems, we develop and analyse a for...
Through examples this chapter illuminates the features that distinguish the ‘con-sistent preferences...
An increasingly popular, but of course not uncontroversial1, view is that “the fundamental insight o...
We present systems of logic programming agents (LPAS) to model the interactions between decision-ma...
In order to succeed, agents playing games must reason about the mechanics of the game, the strategie...
Applications of game theory often neglect that real-world agents normally have some amount of out-of...
When players in a game can communicate they may learn each other’s strategy. It is then natural to d...
In this paper we present a framework for logic programming agents to take part in games in such a wa...
Rational decisions depend on what players know, hence an appropriate epistemic analysis is an integr...
Abstract. We present a framework for decision making with circumstance-dependent preferences and dec...
Model checking is the best-known and most successful approach to formally verifying that systems sat...
The operational semantics of defeasible logic programming (justification process) is based on a dial...
Players in a game are assumed to be totally rational and absolutely smart. However, in reality all p...
We develop and analyze an axiomatic model of strategic thinking in games, and demonstrate that it ac...
Current methods for solving games embody a form of "procedural rationality" that invites logical ana...
As a contribution to the challenge of building game-playing AI systems, we develop and analyse a for...
Through examples this chapter illuminates the features that distinguish the ‘con-sistent preferences...
An increasingly popular, but of course not uncontroversial1, view is that “the fundamental insight o...
We present systems of logic programming agents (LPAS) to model the interactions between decision-ma...