A neural-evolutionary model for case-based planning in real time strategy games

Ben Niu; Haibo Wang; Peter H.F. Ng; Chi Keung Simon Shiu

doi:10.1007/978-3-642-02568-6_30

A neural-evolutionary model for case-based planning in real time strategy games

Ben Niu, Haibo Wang, Peter H.F. Ng, Chi Keung Simon Shiu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

7 Citations (Scopus)

Abstract

Development of real time strategy game AI is a challenging and difficult task because of the real-time constraint and the large search space in finding the best strategy. In this paper, we propose a machine learning approach based on genetic algorithm and artificial neural network to develop a neural-evolutionary model for case-based planning in real time strategy (RTS) games. This model provides efficient, fair and natural game AI to tackle the RTS game problems. Experimental results are provided to support our idea. This model could be integrated with warbots in battlefields, either real or synthetic ones, in the future for mimic human like behaviors.

Original language	English
Title of host publication	Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
Pages	291-300
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-02568-6_30
Publication status	Published - 9 Nov 2009
Event	22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan Duration: 24 Jun 2009 → 27 Jun 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5579 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
Country/Territory	Taiwan
City	Tainan
Period	24/06/09 → 27/06/09

Keywords

Artificial neural network
Case-based planning
Genetic algorithm
Real time strategy (RTS) games

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-642-02568-6_30

Cite this

Niu, B., Wang, H., Ng, P. H. F., & Shiu, C. K. S. (2009). A neural-evolutionary model for case-based planning in real time strategy games. In Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings (pp. 291-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5579 LNAI). https://doi.org/10.1007/978-3-642-02568-6_30

Niu, Ben ; Wang, Haibo ; Ng, Peter H.F. et al. / A neural-evolutionary model for case-based planning in real time strategy games. Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. pp. 291-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Niu, B, Wang, H, Ng, PHF & Shiu, CKS 2009, A neural-evolutionary model for case-based planning in real time strategy games. in Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5579 LNAI, pp. 291-300, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, 24/06/09. https://doi.org/10.1007/978-3-642-02568-6_30

A neural-evolutionary model for case-based planning in real time strategy games. / Niu, Ben; Wang, Haibo; Ng, Peter H.F. et al.
Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. p. 291-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5579 LNAI).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Niu B, Wang H, Ng PHF, Shiu CKS. A neural-evolutionary model for case-based planning in real time strategy games. In Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. p. 291-300. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02568-6_30

A neural-evolutionary model for case-based planning in real time strategy games

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