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» Using iterated reasoning to predict opponent strategies
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ACSC
2004
IEEE
13 years 11 months ago
On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma
Table 1 shows the payoff to player one. The same matrix also holds for player two. Player one can gain the maximum 5 points (T = 5) by defection if player two cooperates. However,...
Daniel Jang, Peter A. Whigham, Grant Dick
ATAL
2008
Springer
13 years 9 months ago
Social reward shaping in the prisoner's dilemma
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
CEAS
2005
Springer
14 years 1 months ago
A Game Theoretic Model of Spam E-Mailing
We discuss how the interaction between spam senders and e-mail users can be modelled as a two-player adversary game. We show how the resulting model can be used to predict the str...
Ion Androutsopoulos, Evangelos F. Magirou, Dimitri...
EVOW
2010
Springer
13 years 5 months ago
Evolution of Grim Trigger in Prisoner Dilemma Game with Partial Imitation
The emergence of Grim Trigger as the dominant strategy in the Iterated Prisoner Dilemma (IPD) on a square lattice is investigated for players with finite memory, using three differ...
Degang Wu, Mathis Antony, Kwok Yip Szeto
KI
2008
Springer
13 years 7 months ago
Learning by Observing: Case-Based Decision Making in Complex Strategy Games
Abstract. There is a growing research interest in the design of competitive and adaptive Game AI for complex computer strategy games. In this paper, we present a novel approach for...
Darko Obradovic, Armin Stahl