{"id":"https://openalex.org/W2109521260","doi":"https://doi.org/10.1080/713827104","title":"Adaptive behaviorin cellular automata using rough set theory","display_name":"Adaptive behaviorin cellular automata using rough set theory","publication_year":2003,"publication_date":"2003-02-01","ids":{"openalex":"https://openalex.org/W2109521260","doi":"https://doi.org/10.1080/713827104","mag":"2109521260"},"language":"en","primary_location":{"id":"doi:10.1080/713827104","is_oa":false,"landing_page_url":"https://doi.org/10.1080/713827104","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101634360","display_name":"Yasser F. Hassan","orcid":"https://orcid.org/0000-0001-9736-2136"},"institutions":[{"id":"https://openalex.org/I86917102","display_name":"Toin University of Yokohama","ror":"https://ror.org/020pjpv69","country_code":"JP","type":"education","lineage":["https://openalex.org/I86917102"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasser Hassan","raw_affiliation_strings":["\n Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"\n Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","institution_ids":["https://openalex.org/I86917102"]},{"raw_affiliation_string":"Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","institution_ids":["https://openalex.org/I86917102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109499194","display_name":"Eiichiro Tazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I86917102","display_name":"Toin University of Yokohama","ror":"https://ror.org/020pjpv69","country_code":"JP","type":"education","lineage":["https://openalex.org/I86917102"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eiichiro Tazaki","raw_affiliation_strings":["\n Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"\n Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","institution_ids":["https://openalex.org/I86917102"]},{"raw_affiliation_string":"Department of Control and System Engineering, Toin University of Yokohama, Yokohama, Japan","institution_ids":["https://openalex.org/I86917102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101634360"],"corresponding_institution_ids":["https://openalex.org/I86917102"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.4183,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82113229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"2","first_page":"155","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.9080678224563599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.869953989982605},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5457789301872253},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5379932522773743},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5340878367424011},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.5275130867958069},{"id":"https://openalex.org/keywords/learning-automata","display_name":"Learning automata","score":0.5243737697601318},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5226452350616455},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5073866248130798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5026307106018066},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4565408527851105},{"id":"https://openalex.org/keywords/jamming","display_name":"Jamming","score":0.41983193159103394},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4117145240306854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4063856601715088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23998874425888062}],"concepts":[{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.9080678224563599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.869953989982605},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5457789301872253},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5379932522773743},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5340878367424011},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.5275130867958069},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.5243737697601318},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5226452350616455},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5073866248130798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5026307106018066},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4565408527851105},{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.41983193159103394},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4117145240306854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4063856601715088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23998874425888062},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/713827104","is_oa":false,"landing_page_url":"https://doi.org/10.1080/713827104","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W4200319726","https://openalex.org/W2164619678","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W1984793747","https://openalex.org/W2353240132","https://openalex.org/W2090905078","https://openalex.org/W2794110548","https://openalex.org/W3200605392"],"abstract_inverted_index":{"The":[0,76,91],"paper":[1,82],"uses":[2],"ideas":[3],"from":[4],"machine":[5,116],"learning":[6,106],"and":[7,22,33,67,89],"artificial":[8],"intelligence":[9],"to":[10,25,63,110,122],"provide":[11],"the":[12,23,31,65,95,111,114,123],"model":[13,64,96],"of":[14,35,43,86,94,103,113],"cellular":[15,56],"automata":[16,57],"based":[17,53],"on":[18,54],"rough":[19,60],"set":[20,61],"theory":[21],"response":[24],"it":[26,99],"in":[27,47,72,80],"simulated":[28,84],"cars.":[29],"Recently,":[30],"examination":[32],"modeling":[34],"vehicular":[36],"traffic":[37],"has":[38],"become":[39],"an":[40,73,101],"important":[41],"subject":[42],"research.":[44],"We":[45],"propose":[46],"this":[48,81],"paper,":[49],"a":[50],"road-traffic":[51],"system":[52],"two-dimensional":[55],"combined":[58],"with":[59],"theory,":[62],"flow":[66],"jamming":[68],"that":[69,98],"is":[70,97],"common":[71],"urban":[74],"environment.":[75],"modeled":[77],"development":[78],"process":[79],"involves":[83],"processes":[85,107],"evolution,":[87],"learning,":[88],"self-organization.":[90],"main":[92],"value":[93],"provides":[100],"illustration":[102],"how":[104],"simple":[105],"may":[108],"lead":[109],"formation":[112],"state":[115],"behavior,":[117],"which":[118],"can":[119],"give":[120],"emergence":[121],"model.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}