Hanyang Quek

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This paper focuses on the development of a spatial Evolutionary Multi-Agent Social Network (EMAS) for studying the macroscopic-behavioral dynamics of civil violence, as a result of microscopic game-theoretic interactions between goal-oriented agents. Agents are modeled from multi-disciplinary perspectives and their strategies are evolved over time via(More)
Coevolutionary techniques have been proven to be effective in evolving solutions to many game related problems, with successful applications in many complex chess-like games like Othello, Checkers and Western Chess. This paper explores the application of coevolutionary models to learn Chinese Chess strategies. The proposed Chinese Chess engine uses(More)
This paper examines the performance and adaptability of evolutionary, learning and memetic strategies to different environment settings in the iterated prisoner's dilemma (IPD). A memetic adaptation framework is devised for IPD strategies to exploit the complementary features of evolution and learning. In the paradigm, learning serves as a form of directed(More)
This paper focuses on the development of a competitive computer player for the one versus one Texas Hold’em poker using evolutionary algorithms (EA). A Texas Hold’em game engine is first constructed where an efficient odds calculator is programmed to allow for the abstraction of a player’s cards, which yield important but complex information. Effort is(More)
This paper presents an evolutionary, game theoretic approach to simulate and study the collective outcome of public goods (PG) provisioning in an agent-based model. Using asymmetric information as the basis for decision making, distinct groups are configured to interact in an iterated <i>N</i> player PG game, where coevolutionary learning is used as the(More)
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