New fuzzy integral for the unit maneuver in RTS game

Peter Hiu Fung Ng; Ying Jie Li; Chi Keung Simon Shiu

doi:10.1007/978-3-642-45062-4_35

New fuzzy integral for the unit maneuver in RTS game

Peter Hiu Fung Ng, Ying Jie Li, Chi Keung Simon Shiu

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

3 Citations (Scopus)

Abstract

A new strategy planning is proposed to improve the effectiveness of unit maneuver in RTS game. Following several other researchers, our approach is based on the technique of potential field to provide an efficient path searching in dynamic environment. However, we adopt the Fuzzy Measure and Integral to indicate the interaction among the unit types. Hence, we also propose a new Fuzzy Integral to improve the quality of unit maneuver. Diversion and flank attack can be planned in potential field dynamically. We implement and present our techniques on real RTS game platform. The result is promising in this complex environment.

Original language	English
Title of host publication	Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings
Pages	256-261
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-45062-4_35
Publication status	Published - 1 Dec 2013
Event	5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013 - Kolkata, India Duration: 10 Dec 2013 → 14 Dec 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8251 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013
Country/Territory	India
City	Kolkata
Period	10/12/13 → 14/12/13

Keywords

CMA-ES
Fuzzy integral
Fuzzy measure
Potential field
RTS

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-642-45062-4_35

Cite this

Ng, P. H. F., Li, Y. J., & Shiu, C. K. S. (2013). New fuzzy integral for the unit maneuver in RTS game. In Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings (pp. 256-261). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8251 LNCS). https://doi.org/10.1007/978-3-642-45062-4_35

Ng, Peter Hiu Fung ; Li, Ying Jie ; Shiu, Chi Keung Simon. / New fuzzy integral for the unit maneuver in RTS game. Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings. 2013. pp. 256-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b6cbf6facf07481db985a0db420a3d25,

title = "New fuzzy integral for the unit maneuver in RTS game",

abstract = "A new strategy planning is proposed to improve the effectiveness of unit maneuver in RTS game. Following several other researchers, our approach is based on the technique of potential field to provide an efficient path searching in dynamic environment. However, we adopt the Fuzzy Measure and Integral to indicate the interaction among the unit types. Hence, we also propose a new Fuzzy Integral to improve the quality of unit maneuver. Diversion and flank attack can be planned in potential field dynamically. We implement and present our techniques on real RTS game platform. The result is promising in this complex environment.",

keywords = "CMA-ES, Fuzzy integral, Fuzzy measure, Potential field, RTS",

author = "Ng, {Peter Hiu Fung} and Li, {Ying Jie} and Shiu, {Chi Keung Simon}",

year = "2013",

month = dec,

day = "1",

doi = "10.1007/978-3-642-45062-4_35",

language = "English",

isbn = "9783642450617",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "256--261",

booktitle = "Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings",

note = "5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013 ; Conference date: 10-12-2013 Through 14-12-2013",

}

Ng, PHF, Li, YJ & Shiu, CKS 2013, New fuzzy integral for the unit maneuver in RTS game. in Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8251 LNCS, pp. 256-261, 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013, Kolkata, India, 10/12/13. https://doi.org/10.1007/978-3-642-45062-4_35

New fuzzy integral for the unit maneuver in RTS game. / Ng, Peter Hiu Fung; Li, Ying Jie; Shiu, Chi Keung Simon.
Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings. 2013. p. 256-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8251 LNCS).

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

TY - GEN

T1 - New fuzzy integral for the unit maneuver in RTS game

AU - Ng, Peter Hiu Fung

AU - Li, Ying Jie

AU - Shiu, Chi Keung Simon

PY - 2013/12/1

Y1 - 2013/12/1

N2 - A new strategy planning is proposed to improve the effectiveness of unit maneuver in RTS game. Following several other researchers, our approach is based on the technique of potential field to provide an efficient path searching in dynamic environment. However, we adopt the Fuzzy Measure and Integral to indicate the interaction among the unit types. Hence, we also propose a new Fuzzy Integral to improve the quality of unit maneuver. Diversion and flank attack can be planned in potential field dynamically. We implement and present our techniques on real RTS game platform. The result is promising in this complex environment.

AB - A new strategy planning is proposed to improve the effectiveness of unit maneuver in RTS game. Following several other researchers, our approach is based on the technique of potential field to provide an efficient path searching in dynamic environment. However, we adopt the Fuzzy Measure and Integral to indicate the interaction among the unit types. Hence, we also propose a new Fuzzy Integral to improve the quality of unit maneuver. Diversion and flank attack can be planned in potential field dynamically. We implement and present our techniques on real RTS game platform. The result is promising in this complex environment.

KW - CMA-ES

KW - Fuzzy integral

KW - Fuzzy measure

KW - Potential field

KW - RTS

UR - http://www.scopus.com/inward/record.url?scp=84893362497&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-45062-4_35

DO - 10.1007/978-3-642-45062-4_35

M3 - Conference article published in proceeding or book

SN - 9783642450617

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 256

EP - 261

BT - Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings

T2 - 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013

Y2 - 10 December 2013 through 14 December 2013

ER -

Ng PHF, Li YJ, Shiu CKS. New fuzzy integral for the unit maneuver in RTS game. In Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings. 2013. p. 256-261. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-45062-4_35

New fuzzy integral for the unit maneuver in RTS game

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this