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Expert Knowledge Modelling in Unreal Tournament presented in CEDI 2013

ANYSELF

The title of the paper is “Modelling Human Expert Behaviour in an Unreal Tournament 2004 Bot”. It has presented in the Primer Simposio Español en Entretenimiento Digital (SEED 2013) track, inside CEDI 2013.

Abstract:

This paper presents a deep description of the design of an autonomous agent (bot) for playing 1 vs. 1 dead match mode in the first person shooter Unreal Tournament 2004 (UT2K4).
The bot models most of the behaviour (actions and tricks) of an expert human player in this mode, who has participated in international UT2K4 championships.
The Artificial Intelligence engine is based on two levels of states, and it relies on an auxiliary database for learning about the fighting arena. Thus, it will store weapons and items locations once the player has discovered them, as a human player could do.
This so-called expert bot yields excellent results, beating the game default bots in the hardest…

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