{"id":"https://openalex.org/W2104867192","doi":"https://doi.org/10.1080/08839510490514869","title":"GROUP FORMATION AMONG DECENTRALIZED AUTONOMOUS AGENTS","display_name":"GROUP FORMATION AMONG DECENTRALIZED AUTONOMOUS AGENTS","publication_year":2004,"publication_date":"2004-10-01","ids":{"openalex":"https://openalex.org/W2104867192","doi":"https://doi.org/10.1080/08839510490514869","mag":"2104867192"},"language":"en","primary_location":{"id":"doi:10.1080/08839510490514869","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510490514869","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/A5037772674","display_name":"Elth Ogston","orcid":null},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"ELTH OGSTON","raw_affiliation_strings":["Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027678871","display_name":"Maarten van Steen","orcid":"https://orcid.org/0000-0002-5113-2746"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"MAARTEN VAN STEEN","raw_affiliation_strings":["Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018472151","display_name":"Frances Brazier","orcid":"https://orcid.org/0000-0002-7827-2351"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"FRANCES BRAZIER","raw_affiliation_strings":["Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Vrije Universiteit Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.7467,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87683592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"9-10","first_page":"953","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8522852659225464},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8179856538772583},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5702808499336243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5311948657035828},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.4811645448207855},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4746597111225128},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42599624395370483},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4239577651023865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3143584132194519},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.2797606587409973},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.19799116253852844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522852659225464},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8179856538772583},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5702808499336243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5311948657035828},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.4811645448207855},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4746597111225128},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42599624395370483},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4239577651023865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3143584132194519},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2797606587409973},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.19799116253852844},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/08839510490514869","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839510490514869","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.100.8717","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.8717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.vu.nl/~steen/papers/wip-cluster.pdf","raw_type":"text"},{"id":"pmh:oai:dare.ubvu.vu.nl:1871/27024","is_oa":false,"landing_page_url":"http://hdl.handle.net/1871/27024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400546","display_name":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"18","raw_type":"Article / Letter to editor"},{"id":"pmh:vu:oai:research.vu.nl:publications/4d1b81f7-0505-4e87-b29d-c32baac29010","is_oa":false,"landing_page_url":"https://research.vu.nl/en/publications/4d1b81f7-0505-4e87-b29d-c32baac29010","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, 18(9--10), 953 - 970. Taylor and Francis Ltd.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W173758486","https://openalex.org/W1493454437","https://openalex.org/W1564630143","https://openalex.org/W1697090051","https://openalex.org/W1814069098","https://openalex.org/W1868287705","https://openalex.org/W1956559956","https://openalex.org/W1966992441","https://openalex.org/W1971784203","https://openalex.org/W1992419399","https://openalex.org/W2116494013","https://openalex.org/W2141245797","https://openalex.org/W2163015271","https://openalex.org/W2319660501","https://openalex.org/W2325227998","https://openalex.org/W2531563875","https://openalex.org/W2999729612"],"related_works":["https://openalex.org/W2951567704","https://openalex.org/W83259245","https://openalex.org/W2605343873","https://openalex.org/W2535986621","https://openalex.org/W1511944427","https://openalex.org/W2109624221","https://openalex.org/W3034747430","https://openalex.org/W2075698704","https://openalex.org/W569672973","https://openalex.org/W4229936142"],"abstract_inverted_index":{"This":[0],"paper":[1,114],"examines":[2],"a":[3,8,43,51,61,70,92,156,182],"method":[4,93,134,154],"of":[5,46,109,123,168,199],"clustering":[6,84,142,158],"within":[7],"fully":[9],"decentralized":[10,111,152],"multi-agent":[11],"system.":[12],"Our":[13],"goal":[14],"is":[15,25],"to":[16,80,105,137,166,180],"group":[17],"agents":[18,37,59,96,176,189],"with":[19],"similar":[20,75],"objectives":[21],"or":[22],"data,":[23],"as":[24],"done":[26],"in":[27,40,60,69],"traditional":[28],"clustering.":[29],"However,":[30],"we":[31,57],"add":[32],"the":[33,82,107,121,124,128,132,151,160,203],"additional":[34],"constraint":[35],"that":[36,118,150,188,195],"must":[38],"remain":[39],"place":[41],"on":[42,86],"network,":[44],"instead":[45],"first":[47],"being":[48],"collected":[49],"into":[50,120],"centralized":[52,161],"database.":[53],"To":[54],"do":[55],"this,":[56],"connect":[58],"random":[62],"overlay":[63],"network":[64],"and":[65,90,193],"have":[66],"them":[67],"search":[68],"peer-to-peer":[71],"fashion":[72],"for":[73,143],"other":[74],"agents.":[76],"We":[77],"thus":[78],"aim":[79],"tackle":[81],"basic":[83],"problem":[85],"an":[87],"Internet":[88],"scale,":[89],"create":[91],"by":[94,131,140,202],"which":[95],"themselves":[97],"can":[98,177,190],"be":[99,178],"grouped,":[100],"forming":[101],"coalitions.":[102],"In":[103],"order":[104],"investigate":[106],"feasibility":[108],"this":[110,113],"approach,":[112],"presents":[115],"simulation":[116],"experiments":[117],"look":[119],"quality":[122],"clusters":[125,129,192],"discovered.":[126],"First,":[127],"found":[130],"agent":[133,153],"are":[135,196],"compared":[136],"those":[138,200],"created":[139],"k-means":[141,162],"two-dimensional":[144],"spatial":[145],"data":[146],"points.":[147],"Results":[148],"show":[149],"produces":[155],"better":[157],"than":[159],"algorithm,":[163],"placing":[164],"95%":[165],"99%":[167],"points":[169],"correctly.":[170],"A":[171],"further":[172],"experiment":[173],"explores":[174],"how":[175],"used":[179],"cluster":[181],"straightforward":[183],"text":[184],"document":[185],"set,":[186],"demonstrating":[187],"discover":[191],"keywords":[194],"reasonable":[197],"estimates":[198],"identified":[201],"central":[204],"word":[205],"vector":[206],"space":[207],"approach.":[208]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}