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» Using iterated reasoning to predict opponent strategies
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ACSC
2004
IEEE
13 years 9 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 7 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
13 years 11 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 3 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 5 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