Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24112
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorNg, HF-
dc.creatorLi, YJ-
dc.creatorShiu, SCK-
dc.date.accessioned2015-09-30T09:43:56Z-
dc.date.available2015-09-30T09:43:56Z-
dc.identifier.isbn978-1-4244-7315-1-
dc.identifier.isbn978-1-4244-7316-8 (E-ISBN)-
dc.identifier.issn1098-7584-
dc.identifier.urihttp://hdl.handle.net/10397/24112-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectFuzzy Integralen_US
dc.subjectFuzzy Measureen_US
dc.subjectMicro-managementen_US
dc.subjectPotential Fielden_US
dc.subjectReal time Strategy Gameen_US
dc.subjectWarcraft IIIen_US
dc.subjectUnit formation planningen_US
dc.titleUnit formation planning in RTS game by using potential field and fuzzy integralen_US
dc.typeConference Paperen_US
dc.identifier.spage178-
dc.identifier.epage184-
dc.identifier.doi10.1109/FUZZY.2011.6007642-
dcterms.abstractUnit formation planning and target of attack is the core of micro management in real time strategy (RTS) game. It is more complicated than macro management, such as building and unit production sequence. It consists of a great quantity of possibility. Multiple targets and the non-additive property of unit formation leads the micro-management remains a problem. Traditional tree searching or A* searching is unable to handle these two properties. They are time consuming in runtime and difficult to manage in the AI programming development as there are too many weightings and each of them will interact with the others. In this paper, we applied potential field, fuzzy measure and integral to solve the micro-management. Potential field is suitable for complicated and various environment with multiple targets. However, it does not consider non-additive property. We integrated it with fuzzy measure and integral to extend simple additive property to non-additive property and provide the ability to handle interaction among different targets.-
dcterms.bibliographicCitation2011 IEEE International Conference on Fuzzy Systems (FUZZ), 27-30 June 2011, Taipei, p. 178-184-
dcterms.issued2011-
dc.relation.ispartofbook2011 IEEE International Conference on Fuzzy Systems (FUZZ), 27-30 June 2011, Taipei-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.identifier.rosgroupidr54605-
dc.description.ros2010-2011 > Academic research: refereed > Refereed conference paper-
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