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Data visualisation self-explanatory systems in intelligent game inference engines

conference 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

Parent Title

Proceeding of the 4th World Virtual Conference on Applied Cciences & Engineering Applications, 28-30 November, Kuala Lumpur, Malaysia

Start Page

65

End Page

65

Number of Pages

1

Start Date

01/01/2015

Location

Kuala Lumpur, Malaysia

Publisher

Penerbit Akademia Baru

Place of Publication

Johor Darul Ta'zim, Malaysia

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

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

Era Eligible

No

Name of Conference

World Virtual Conference on Applied Sciences & Engineering Applications