{"id":"https://openalex.org/W2965908096","doi":"https://doi.org/10.24963/ijcai.2019/25","title":"ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection","display_name":"ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965908096","doi":"https://doi.org/10.24963/ijcai.2019/25","mag":"2965908096"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/25","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/25","pdf_url":"https://www.ijcai.org/proceedings/2019/0025.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0025.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100366879","display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0002-7990-4947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shuo Chen","raw_affiliation_strings":["ST Engineering - NTU Corporate Laboratory, Nanyang Technological University","School of Computer Science and Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"ST Engineering - NTU Corporate Laboratory, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085869947","display_name":"Ewa Andrejczuk","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ewa Andrejczuk","raw_affiliation_strings":["ST Engineering - NTU Corporate Laboratory, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"ST Engineering - NTU Corporate Laboratory, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048454018","display_name":"Athirai A. Irissappane","orcid":"https://orcid.org/0000-0001-9682-3500"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Athirai A. Irissappane","raw_affiliation_strings":["School of Engineering and Technology, University of Washington"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436760","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-5348-7671"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100366879"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80243781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9990000128746033,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.794623851776123},{"id":"https://openalex.org/keywords/teamwork","display_name":"Teamwork","score":0.7676640152931213},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7207630276679993},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6498802900314331},{"id":"https://openalex.org/keywords/post-hoc","display_name":"Post hoc","score":0.5448030233383179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4589262306690216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45832645893096924},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4330029785633087},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4248812794685364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4026678204536438},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10047230124473572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06785538792610168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794623851776123},{"id":"https://openalex.org/C111226992","wikidata":"https://www.wikidata.org/wiki/Q626225","display_name":"Teamwork","level":2,"score":0.7676640152931213},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7207630276679993},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6498802900314331},{"id":"https://openalex.org/C2992886853","wikidata":"https://www.wikidata.org/wiki/Q18381816","display_name":"Post hoc","level":2,"score":0.5448030233383179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4589262306690216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45832645893096924},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4330029785633087},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4248812794685364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4026678204536438},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10047230124473572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06785538792610168},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2019/25","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/25","pdf_url":"https://www.ijcai.org/proceedings/2019/0025.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/141012","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/141012","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/25","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/25","pdf_url":"https://www.ijcai.org/proceedings/2019/0025.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965908096.pdf","grobid_xml":"https://content.openalex.org/works/W2965908096.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W160961942","https://openalex.org/W202180931","https://openalex.org/W1484740474","https://openalex.org/W1605268984","https://openalex.org/W1606056663","https://openalex.org/W1625390266","https://openalex.org/W2025382196","https://openalex.org/W2124595631","https://openalex.org/W2129278331","https://openalex.org/W2130006662","https://openalex.org/W2136418668","https://openalex.org/W2159747457","https://openalex.org/W2168359464","https://openalex.org/W2535584654","https://openalex.org/W2549863412","https://openalex.org/W4250731795","https://openalex.org/W4290701056","https://openalex.org/W6679938814","https://openalex.org/W6863631769"],"related_works":["https://openalex.org/W2346864368","https://openalex.org/W2161212821","https://openalex.org/W2357960062","https://openalex.org/W1502903923","https://openalex.org/W2375154938","https://openalex.org/W3004147454","https://openalex.org/W3097094777","https://openalex.org/W4318969523","https://openalex.org/W2195500058","https://openalex.org/W2624966253"],"abstract_inverted_index":{"In":[0],"an":[1],"ad":[2,26,93,131],"hoc":[3,27,94,132],"teamwork":[4],"setting,":[5],"the":[6,46,51,56,92,123,126,130,135,142,148,153],"team":[7],"needs":[8],"to":[9,13,22,99,140,146],"coordinate":[10],"their":[11,38],"activities":[12],"perform":[14,147],"a":[15,83,115],"task":[16],"without":[17,86],"prior":[18],"agreement":[19],"on":[20,50,88,107],"how":[21],"achieve":[23],"it.":[24],"The":[25],"agent":[28,95,133],"cannot":[29],"communicate":[30],"with":[31],"its":[32,97,111],"teammates":[33,98],"but":[34],"it":[35,109],"can":[36,63],"observe":[37],"behaviour":[39,53],"and":[40,77],"plan":[41],"accordingly.":[42],"To":[43],"do":[44],"so,":[45],"existing":[47],"approaches":[48],"rely":[49],"teammates'":[52,89],"models.":[54,90],"However,":[55],"models":[57],"may":[58],"not":[59],"be":[60],"accurate,":[61],"which":[62,101],"compromise":[64],"teamwork.":[65,159],"For":[66],"this":[67],"reason,":[68],"we":[69],"present":[70],"Ad":[71],"Hoc":[72],"Teamwork":[73],"by":[74],"Sub-task":[75],"Inference":[76],"Selection":[78],"(ATSIS)":[79],"algorithm":[80],"that":[81,121],"uses":[82,134],"sub-task":[84,113,127],"inference":[85],"relying":[87],"First,":[91],"observes":[96],"infer":[100],"sub-tasks":[102],"they":[103],"are":[104],"handling.":[105],"Based":[106],"that,":[108],"selects":[110],"own":[112],"using":[114],"partially":[116],"observable":[117],"Markov":[118],"decision":[119],"process":[120],"handles":[122],"uncertainty":[124],"of":[125,144,155],"inference.":[128],"Last,":[129],"Monte":[136],"Carlo":[137],"tree":[138],"search":[139],"find":[141],"set":[143],"actions":[145],"sub-task.":[149],"Our":[150],"experiments":[151],"show":[152],"benefits":[154],"ATSIS":[156],"for":[157],"robust":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}