{"id":"https://openalex.org/W2741892665","doi":"https://doi.org/10.24963/ijcai.2017/169","title":"Generalized Target Assignment and Path Finding Using Answer Set Programming","display_name":"Generalized Target Assignment and Path Finding Using Answer Set Programming","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741892665","doi":"https://doi.org/10.24963/ijcai.2017/169","mag":"2741892665"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/169","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/169","pdf_url":"https://www.ijcai.org/proceedings/2017/0169.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth 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/2017/0169.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Van Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Van Nguyen","raw_affiliation_strings":["Computer Science Department","New Mexico State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department","institution_ids":[]},{"raw_affiliation_string":"New Mexico State University","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Philipp Obermeier","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Obermeier","raw_affiliation_strings":["Computer Science Department","University of Potsdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department","institution_ids":[]},{"raw_affiliation_string":"University of Potsdam","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tran Cao Son","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tran Cao Son","raw_affiliation_strings":["Department of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Torsten Schaub","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torsten Schaub","raw_affiliation_strings":["Computer Science Department","University of Potsdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department","institution_ids":[]},{"raw_affiliation_string":"University of Potsdam","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":null,"display_name":"William Yeoh","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Yeoh","raw_affiliation_strings":["Computer Science Department","New Mexico State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department","institution_ids":[]},{"raw_affiliation_string":"New Mexico State University","institution_ids":["https://openalex.org/I10052268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10052268"],"apc_list":null,"apc_paid":null,"fwci":1.8729,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.89263194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1216","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998000264167786,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998000264167786,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9988999962806702,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9939000010490417,"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/path","display_name":"Path (computing)","score":0.6765999794006348},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.659500002861023},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6503999829292297},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5834000110626221},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5781000256538391},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5647000074386597},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4047999978065491}],"concepts":[{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6765999794006348},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.659500002861023},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6503999829292297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424000263214111},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5834000110626221},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5781000256538391},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5647000074386597},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45649999380111694},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38659998774528503},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C115908005","wikidata":"https://www.wikidata.org/wiki/Q2668364","display_name":"Combinatorial explosion","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C136979486","wikidata":"https://www.wikidata.org/wiki/Q773483","display_name":"Existential quantification","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C30202268","wikidata":"https://www.wikidata.org/wiki/Q7978065","display_name":"Weapon target assignment problem","level":4,"score":0.25769999623298645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/169","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/169","pdf_url":"https://www.ijcai.org/proceedings/2017/0169.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/169","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/169","pdf_url":"https://www.ijcai.org/proceedings/2017/0169.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1753091077","display_name":null,"funder_award_id":"1345232","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741892665.pdf","grobid_xml":"https://content.openalex.org/works/W2741892665.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"Multi-Agent":[1],"Path":[2,26],"Finding":[3,27],"(MAPF),":[4],"a":[5,41,115,124],"team":[6],"of":[7,35,49,58,87,102,104,114,117,144,157],"agents":[8,39,59,88],"needs":[9,151],"to":[10,18,38,43,82,92,106,137,152,160,190],"find":[11],"collision-free":[12],"paths":[13],"from":[14],"their":[15,19,53],"starting":[16],"locations":[17],"respective":[20],"targets.":[21],"Combined":[22],"Target":[23],"Assignment":[24],"and":[25,60,89,109,186],"(TAPF)":[28],"extends":[29],"MAPF":[30,45],"by":[31,79,95],"including":[32],"the":[33,44,56,130,141,145,154,176],"problem":[34,131,146,169],"assigning":[36],"targets":[37,61],"as":[40,71],"precursor":[42],"problem.":[46],"A":[47],"limitation":[48,78],"both":[50],"models":[51],"is":[52,65,147],"assumption":[54],"that":[55,111,119,139,167],"number":[57,86],"are":[62,112],"equal,":[63],"which":[64,96],"invalid":[66],"in":[67,123],"some":[68],"applications":[69],"such":[70],"autonomous":[72],"warehouse":[73],"systems.":[74],"We":[75,163],"address":[76],"this":[77],"generalizing":[80],"TAPF":[81],"allow":[83],"for":[84],"(1)~unequal":[85],"tasks;":[90],"(2)~tasks":[91],"have":[93],"deadlines":[94],"they":[97],"must":[98,120],"be":[99,107,121,173,184],"completed;":[100,108],"(3)~ordering":[101],"groups":[103],"tasks":[105],"(4)~tasks":[110],"composed":[113],"sequence":[116],"checkpoints":[118],"visited":[122],"specific":[125,170],"order.":[126],"Further,":[127],"we":[128],"model":[129],"using":[132],"answer":[133],"set":[134],"programming":[135],"(ASP)":[136],"show":[138],"customizing":[140],"desired":[142],"variant":[143],"simple":[148],"one":[149],"only":[150],"choose":[153],"appropriate":[155],"combination":[156],"ASP":[158,177,180],"rules":[159],"enforce":[161],"it.":[162],"also":[164],"demonstrate":[165],"experimentally":[166],"if":[168],"information":[171],"can":[172,183,187],"incorporated":[174],"into":[175],"encoding":[178],"then":[179],"based":[181],"method":[182],"efficient":[185],"scale":[188],"up":[189],"solve":[191],"practical":[192],"applications.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2017-08-08T00:00:00"}