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A game AI production shell framework : generating AI opponents for geomorphic-isometric strategy games via modeling of expert player intuition

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conference contribution
posted on 06.12.2017, 00:00 by Andrew ChiouAndrew Chiou
One of the most challenging aspects of game AI implementation in computer games is in the production of artificial opponents that can demonstrate human-intuitive strategic skills. In this paper, the need and requirements for a quick and efficient method to capture these skills are identified. Based on these requirements, a framework for a game AI shell is proposed. A case study is presented to demonstrate the workability of the framework by employing a prototype shell to generate a game AI middleware for a tabletop strategy-base game.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Proceedings of DIMEA 2007 2nd International Conference on Digital Interactive Media in Entertainment and Arts.

Start Page

84

End Page

90

Number of Pages

7

Start Date

01/01/2007

ISBN-13

9780869059944

Location

Perth, Western Australia

Publisher

ACM

Place of Publication

New York

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics;

Era Eligible

Yes

Name of Conference

International Conference on Digital Interactive Media in Entertainment and Arts