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Computational Models of Motivation for Game-Playing Agents
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318 b
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The focus of this book is on three influential§cognitive motives: achievement, affiliation, and power motivation.§Incentive-based theories of achievement, affiliation and power motivation are§the basis for competence-seeking behaviour, relationship-building, leadership,§and resource-controlling behaviour in humans. In this book we show how these§motives can be modelled and embedded in artificial agents to achieve§behavioural diversity. Theoretical issues are addressed for representing and§embedding computational models of motivation in rule-based agents, learning§agents and evolutionary agents. Practical issues are addressed for defining§games, mini-games or in-game scenarios for virtual worlds in which§computer-controlled, motivated agents can participate alongside human players.§§The book is structured into four parts: game playing§in virtual worlds by humans and agents; comparing human and artificial motives§in rule-based agents; game scenarios for motivated learning agents; and§evolution and the future of motivated game playing agents. It will provide game§programmers, and those with an interest in artificial intelligence, with the§knowledge required to develop diverse, believable game playing agents for§virtual worlds.§
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