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What is it thinking? : game AI opponent computer-human interaction using descriptive schema and explanatory capabilities

conference contribution
posted on 06.12.2017, 00:00 by Andrew Chiou
In strategy-based games, it is sometimes beneficial to understand the evaluation processes of the game AI opponent, e.g. What strategic or tactical motives is it inferring? Why did it make the previous move? However, the mechanics available to allow the game AI to convey these processes to the [human] player or game designer is complex to implement, more so than the actual mechanics of the game AI itself. This paper proposes a method that provides the mechanism for a game AI to communicate its evaluation processes using descriptive schemata and explanatory functions. A case study will be presented that includes an implementation of a game AI opponent that is capable of describing its inferential processes while playing a tabletop wargame.

Funding

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

History

Parent Title

DIMEA 2007 : 2nd International Conference on Digital Interactive Media in Entertainment and Arts, 5-7 September 2007, Perth, Western Australia.

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

Exports