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11 - Computer Science and Informatics

University of York

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Article title

Information Set Monte Carlo Tree Search

Type

D - Journal article

DOI

10.1109/TCIAIG.2012.2200894

Title of journal

Computational Intelligence and AI in Games, IEEE Transactions on

Article number

6203567

Volume number

Issue number

First page of article

120

ISSN of journal

1943-068X

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6203567

Number of additional authors

Additional information

<22>Extends Monte Carlo Tree Search to domains with information asymmetry (e.g. card games, board games, security applications). Techniques implemented in a commercial mobile phone game (AI Factory's Spades - see collaborative AAAI-AIIDE 2013 paper, "Integrating Monte Carlo Tree Search with knowledge-based methods to create engaging play in a commercial mobile game") with over 2.5m downloads, greatly increasing playability and strength, with excellent customer reviews. Influenced recent work on integration with big data approaches in subsequent £1.2m NEMOG EPSRC project (York/Cass/Durham) collaborating with AI Factory. Well received at RAEng soiree, 8 schools, 2 invited tutorials, 20+ conferences/meetings, taught MSc courses.

Interdisciplinary

Cross-referral requested

Research group

G - Artificial Intelligence

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract