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[Inner States In Game Agent Systems]

Date: Jun 2009
Tags: C++ :: AI :: games

[Bachelors dissertation]

The theoretical part of the project focuses on currently used techniques for obstacle avoidance, task-oriented behaviour and fuzzy logic in the field of games AI. A number of approaches are discussed and evaluated.

The artefact of the project is a strategy game Alien Farm where units have an inner state which reflects on their actions. This addresses a problem in most of today's strategies - units behave in the same way and display no reactions to how user plays a game.

Agents in the game use fuzzy logic to evaluate their current state and adjust their behaviour accordingly. The individualised behaviour was evaluated as an interesting feature by a number of players who tested the game.

Other aspects of games intelligence have also been experimented with - including obstacle avoidance in a continuous environment, finite-state machines, task representation and task-oriented behaviour.

Strategy game, life simulation, games artificial intelligence, obstacle avoidance, emotions, inner state, agents, fuzzy logic

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