[Tags]
[Inner States In Game Agent Systems]
Project 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.
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.
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.
Keywords:
Strategy game, life simulation, games artificial intelligence, obstacle avoidance, emotions, inner state, agents, fuzzy logic
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.
Keywords:
Strategy game, life simulation, games artificial intelligence, obstacle avoidance, emotions, inner state, agents, fuzzy logic
{Please enable JavaScript in order to post comments}