{"id":"https://openalex.org/W2089714567","doi":"https://doi.org/10.1080/09528130701650318","title":"Learning communicative actions of conflicting human agents","display_name":"Learning communicative actions of conflicting human agents","publication_year":2008,"publication_date":"2008-09-18","ids":{"openalex":"https://openalex.org/W2089714567","doi":"https://doi.org/10.1080/09528130701650318","mag":"2089714567"},"language":"en","primary_location":{"id":"doi:10.1080/09528130701650318","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130701650318","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5071035935","display_name":"Boris Galitsky","orcid":"https://orcid.org/0000-0003-0670-8520"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Boris A. Galitsky","raw_affiliation_strings":["School of Computer Science and Information Systems , Birkbeck College, University of London , Malet Street, London WC1E 7HX, UK","School of Computer Science & Information Systems, Birkbeck College, University of London, London WC1E 7HX, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Systems , Birkbeck College, University of London , Malet Street, London WC1E 7HX, UK","institution_ids":["https://openalex.org/I98259816"]},{"raw_affiliation_string":"School of Computer Science & Information Systems, Birkbeck College, University of London, London WC1E 7HX, UK","institution_ids":["https://openalex.org/I98259816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004960011","display_name":"Sergei O. Kuznetsov","orcid":"https://orcid.org/0000-0003-3284-9001"},"institutions":[{"id":"https://openalex.org/I2801636460","display_name":"All Russian Institute for Scientific and Technical Information","ror":"https://ror.org/047wbzv64","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2801636460","https://openalex.org/I4210097085"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergei O. Kuznetsov","raw_affiliation_strings":["All-Russian Institute for Scientific and Technical Information (VINITI) , Usievicha 20, Moscow 125190, Russia"],"affiliations":[{"raw_affiliation_string":"All-Russian Institute for Scientific and Technical Information (VINITI) , Usievicha 20, Moscow 125190, Russia","institution_ids":["https://openalex.org/I2801636460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071035935"],"corresponding_institution_ids":["https://openalex.org/I98259816"],"apc_list":null,"apc_paid":null,"fwci":1.1441,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.84113152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"4","first_page":"277","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9789999723434448,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9750999808311462,"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":0.6913081407546997},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5644858479499817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481633543968201},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5235775709152222},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.500572919845581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4960063397884369},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45261627435684204},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4221607446670532},{"id":"https://openalex.org/keywords/complaint","display_name":"Complaint","score":0.41030579805374146},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20008668303489685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17089560627937317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913081407546997},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5644858479499817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481633543968201},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5235775709152222},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.500572919845581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4960063397884369},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45261627435684204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4221607446670532},{"id":"https://openalex.org/C2780838233","wikidata":"https://www.wikidata.org/wiki/Q836925","display_name":"Complaint","level":2,"score":0.41030579805374146},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20008668303489685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17089560627937317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09528130701650318","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09528130701650318","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W51251913","https://openalex.org/W71768770","https://openalex.org/W147685635","https://openalex.org/W588268056","https://openalex.org/W590183655","https://openalex.org/W617227772","https://openalex.org/W1483129024","https://openalex.org/W1492604685","https://openalex.org/W1493596129","https://openalex.org/W1500151553","https://openalex.org/W1501936029","https://openalex.org/W1503533763","https://openalex.org/W1503729935","https://openalex.org/W1514588962","https://openalex.org/W1547290587","https://openalex.org/W1570806034","https://openalex.org/W1576632330","https://openalex.org/W1578573078","https://openalex.org/W1605329062","https://openalex.org/W1852340955","https://openalex.org/W1964808514","https://openalex.org/W1967608200","https://openalex.org/W1975246387","https://openalex.org/W1983358448","https://openalex.org/W1997177761","https://openalex.org/W2008506064","https://openalex.org/W2011039300","https://openalex.org/W2017501150","https://openalex.org/W2032966737","https://openalex.org/W2046295299","https://openalex.org/W2050720163","https://openalex.org/W2056245254","https://openalex.org/W2061496281","https://openalex.org/W2062828083","https://openalex.org/W2065001763","https://openalex.org/W2097997101","https://openalex.org/W2103138133","https://openalex.org/W2109100253","https://openalex.org/W2124634352","https://openalex.org/W2129264276","https://openalex.org/W2129514287","https://openalex.org/W2137041106","https://openalex.org/W2142353049","https://openalex.org/W2143899515","https://openalex.org/W2145340246","https://openalex.org/W2146819619","https://openalex.org/W2147492008","https://openalex.org/W2148454664","https://openalex.org/W2165619126","https://openalex.org/W2169336910","https://openalex.org/W2241128294","https://openalex.org/W2328180392","https://openalex.org/W2396903734","https://openalex.org/W2480781578","https://openalex.org/W2564317337","https://openalex.org/W2615688110","https://openalex.org/W3125686698","https://openalex.org/W3140030144","https://openalex.org/W4205093675","https://openalex.org/W4231043689","https://openalex.org/W4235073904","https://openalex.org/W4237032198","https://openalex.org/W4248783503","https://openalex.org/W4254994113","https://openalex.org/W4285719527","https://openalex.org/W6679525960"],"related_works":["https://openalex.org/W1885497808","https://openalex.org/W4389612504","https://openalex.org/W2022249118","https://openalex.org/W51147162","https://openalex.org/W3009921285","https://openalex.org/W2046737675","https://openalex.org/W1596393722","https://openalex.org/W2072761933","https://openalex.org/W4327644547","https://openalex.org/W2347345225"],"abstract_inverted_index":{"One":[0],"of":[1,30,67,76,81,99,105,110,113,128,139,167,175],"the":[2,17,92,97,126,137],"main":[3],"problems":[4],"to":[5,15,125,148,163],"be":[6],"solved":[7],"while":[8],"assisting":[9],"inter-human":[10,176],"conflict":[11],"resolution":[12],"is":[13,36,70,89,133,145,159,178],"how":[14],"reuse":[16],"previous":[18],"experience":[19],"with":[20,44,79],"similar":[21],"agents.":[22],"A":[23],"machine":[24,156],"learning":[25,88,94,157],"technique":[26,158],"for":[27],"handling":[28],"scenarios":[29],"interaction":[31],"between":[32,57],"conflicting":[33],"human":[34],"agents":[35],"proposed.":[37],"Scenarios":[38],"are":[39,123],"represented":[40],"by":[41,72,91],"directed":[42],"graphs":[43,80],"labelled":[45],"vertices":[46],"(for":[47,52],"communicative":[48,114,140],"actions)":[49],"and":[50,54,60,83,102,119],"arcs":[51],"temporal":[53],"causal":[55],"relationships":[56],"these":[58],"actions":[59,141],"their":[61],"parameters).":[62],"For":[63],"illustrative":[64],"purposes,":[65],"classification":[66,127],"a":[68,106,160,164,181],"scenario":[69,117],"computed":[71],"comparing":[73],"partial":[74],"matching":[75,111],"its":[77],"graph":[78],"positive":[82],"negative":[84],"examples.":[85],"Nearest":[86],"Neighbour":[87],"followed":[90],"JSM-based":[93],"which":[95],"minimised":[96],"number":[98],"false":[100],"negatives":[101],"takes":[103],"advantage":[104],"more":[107],"accurate":[108],"way":[109],"sequences":[112],"actions.":[115],"Developed":[116],"representation":[118],"comparative":[120],"analysis":[121],"techniques":[122],"applied":[124],"textual":[129],"customer":[130,168],"complaints.":[131],"It":[132],"shown":[134],"that":[135],"analysing":[136],"structure":[138],"without":[142],"context":[143],"information":[144],"frequently":[146],"sufficient":[147],"estimate":[149],"complaint":[150],"validity.":[151],"Therefore,":[152],"being":[153],"domain-independent,":[154],"proposed":[155],"good":[161],"compliment":[162],"wide":[165],"range":[166],"relation":[169],"management":[170],"applications":[171],"where":[172],"formal":[173],"treatment":[174],"interactions":[177],"required":[179],"in":[180],"decision-support":[182],"mode.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}