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Data visualisation self-explanatory systems in intelligent game inference engines

journal contribution
posted on 06.12.2017, 00:00 by Andrew Chiou
This paper proposes a method that provides the mechanism for a game AI (artificial intelligence) to communicate its evaluation processes using data visualisation and descriptive 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.

History

Volume

2

Issue

1

Start Page

1

End Page

8

Number of Pages

8

eISSN

2462-1943

Location

Malaysia

Publisher

Penerbit Akademia Baru

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Intelligent Systems (2015- ); School of Engineering and Technology (2013- );

Era Eligible

Yes

Journal

Journal of advanced research in applied sciences and engineering technology.

Exports