{"id":"https://openalex.org/W2079994680","doi":"https://doi.org/10.1109/cec.2013.6557726","title":"Distributing cognitive resources in one-against-many strategy games","display_name":"Distributing cognitive resources in one-against-many strategy games","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2079994680","doi":"https://doi.org/10.1109/cec.2013.6557726","mag":"2079994680"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2013.6557726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110195214","display_name":"Ayman Ghoneim","orcid":null},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ayman Ghoneim","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, Canberra, ACT, Australia","Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111498372","display_name":"Garrison W. Greenwood","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garrison W. Greenwood","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA","[Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Portland State University, Portland, OR, USA","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA]","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022974795","display_name":"Hussein A. Abbass","orcid":"https://orcid.org/0000-0002-8837-0748"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hussein Abbass","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, Canberra, ACT, Australia","Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"956","issue":null,"first_page":"1387","last_page":"1394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7395633459091187},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6916265487670898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682622492313385},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6373976469039917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.510204553604126},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.4886053204536438},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4597622752189636},{"id":"https://openalex.org/keywords/cognitive-resource-theory","display_name":"Cognitive resource theory","score":0.437921404838562},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.42956632375717163},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35699331760406494},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.35119765996932983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.335163414478302},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.33292877674102783},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22336071729660034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18994832038879395},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18792542815208435}],"concepts":[{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7395633459091187},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6916265487670898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682622492313385},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6373976469039917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.510204553604126},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.4886053204536438},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4597622752189636},{"id":"https://openalex.org/C150420422","wikidata":"https://www.wikidata.org/wiki/Q5141238","display_name":"Cognitive resource theory","level":3,"score":0.437921404838562},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.42956632375717163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35699331760406494},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.35119765996932983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335163414478302},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.33292877674102783},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22336071729660034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18994832038879395},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18792542815208435},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2013.6557726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2013.6557726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W260729571","https://openalex.org/W1569749180","https://openalex.org/W1575989700","https://openalex.org/W1581574738","https://openalex.org/W1608897620","https://openalex.org/W2020439593","https://openalex.org/W2039899015","https://openalex.org/W2055258473","https://openalex.org/W2062663664","https://openalex.org/W2084978594","https://openalex.org/W2091653681","https://openalex.org/W2101998822","https://openalex.org/W2106063632","https://openalex.org/W2108238158","https://openalex.org/W2110216302","https://openalex.org/W2132099021","https://openalex.org/W2168352398","https://openalex.org/W2170969334","https://openalex.org/W2331296304","https://openalex.org/W2571551959","https://openalex.org/W3100643943","https://openalex.org/W3150684683","https://openalex.org/W6609618768","https://openalex.org/W6634489592","https://openalex.org/W6676427004","https://openalex.org/W6676700299","https://openalex.org/W6793435054"],"related_works":["https://openalex.org/W2971598508","https://openalex.org/W1204918052","https://openalex.org/W3123805338","https://openalex.org/W2040682131","https://openalex.org/W1570044001","https://openalex.org/W3150925513","https://openalex.org/W4238645493","https://openalex.org/W2897335392","https://openalex.org/W2934489433","https://openalex.org/W2168391787"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"situations":[2],"require":[3],"an":[4,128],"agent":[5,21],"with":[6,164,201],"limited":[7],"cognitive":[8,27],"resources":[9,28],"to":[10,24,29,36,74,92,125,133,173,185,195],"be":[11,37],"engaged":[12],"in":[13],"multiple":[14,58],"games":[15,65],"simultaneously.":[16],"In":[17],"these":[18,64],"circumstances,":[19],"the":[20,31,52,69,75,84,94,99,112,118,147,152,169,186,206,213,216],"is":[22,106,117],"unable":[23],"devote":[25],"infinite":[26],"represent":[30],"optimal":[32],"strategy":[33,218],"that":[34,139,146,168],"needs":[35,172],"played":[38],"against":[39,57],"each":[40],"opponent.":[41,110],"We":[42,121,135,178],"investigate":[43],"this":[44],"type":[45],"of":[46,131,154,190,199,208,215],"game,":[47],"where":[48],"a":[49,80,161,165,193,197],"player,":[50,54],"called":[51],"focal":[53,95,113,170],"playing":[55],"concurrently":[56],"opponents":[59,140,200],"independent":[60],"2-player":[61],"games.":[62],"Nevertheless,":[63],"are":[66,141],"coupled":[67],"through":[68],"shared":[70],"memory":[71,132,148],"resource":[72],"available":[73],"agent.":[76],"Each":[77],"opponent":[78,91,217],"has":[79],"fixed":[81,143,202],"strategy.":[82],"While":[83],"history":[85,104],"length":[86,105],"may":[87],"vary":[88],"from":[89],"one":[90],"another,":[93],"player":[96,114,171,194],"doesn't":[97],"know":[98],"opponents'":[100,119,176],"strategies":[101,144],"or":[102],"which":[103,109,159],"used":[107],"by":[108],"All":[111],"can":[115],"observe":[116],"actions.":[120],"use":[122],"evolutionary":[123],"computation":[124],"decide":[126],"on":[127,151],"appropriate":[129],"allocation":[130],"opponents.":[134],"show":[136,179],"-":[137,145,219,223],"given":[138],"using":[142,221],"distribution":[149],"relies":[150],"number":[153,189,207],"active":[155,209],"bits":[156,158,191,210],"(i.e.,":[157],"generates":[160],"repeated":[162],"pattern":[163],"favorable":[166],"payoff)":[167],"exploit":[174],"its":[175],"strategies.":[177],"how":[180,205],"our":[181],"current":[182],"results":[183],"relate":[184],"minimum":[187],"required":[188],"for":[192],"face":[196],"set":[198],"strategies,":[203],"and":[204],"increases":[211],"as":[212],"richness":[214],"measured":[220],"entropy":[222],"increases.":[224]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
