{"id":"https://openalex.org/W7156055111","doi":"https://doi.org/10.48550/arxiv.2604.22256","title":"A Probabilistic Framework for Hierarchical Goal Recognition","display_name":"A Probabilistic Framework for Hierarchical Goal Recognition","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7156055111","doi":"https://doi.org/10.48550/arxiv.2604.22256"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.22256","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.22256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134726770","display_name":"Chenyuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chenyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016333392","display_name":"Katherine Ip","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ip, Katherine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034608678","display_name":"Hamid Rezatofighi","orcid":"https://orcid.org/0000-0002-8659-8773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rezatofighi, Hamid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014246360","display_name":"Buser Say","orcid":"https://orcid.org/0000-0003-2822-5909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Say, Buser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134716676","display_name":"Mor Vered","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vered, Mor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.7235999703407288,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.7235999703407288,"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":0.10520000010728836,"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":0.02319999970495701,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7912999987602234},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6388999819755554},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4481000006198883},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4350000023841858},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4106999933719635},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39430001378059387},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3806999921798706}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7912999987602234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386000156402588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6545000076293945},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6388999819755554},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6327999830245972},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4481000006198883},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3806999921798706},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.375},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C84653758","wikidata":"https://www.wikidata.org/wiki/Q5575175","display_name":"Goal orientation","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C124527596","wikidata":"https://www.wikidata.org/wiki/Q17029359","display_name":"Hierarchical control system","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.22256","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.22256","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Goal":[0],"recognition":[1,16,30,70,103,122,130],"aims":[2],"to":[3,40],"infer":[4],"an":[5,82],"agent's":[6],"goal":[7,29,69,97,121,129],"from":[8,19],"observations":[9],"of":[10,43],"its":[11],"behaviour.":[12],"In":[13,57],"realistic":[14],"settings,":[15],"can":[17],"benefit":[18],"exploiting":[20,81],"hierarchical":[21,51,68,125],"task":[22,52],"structure":[23,53],"and":[24],"reasoning":[25],"under":[26],"uncertainty.":[27],"Planning-based":[28],"has":[31],"made":[32],"substantial":[33],"progress":[34],"over":[35,71,96,105],"the":[36,41,62,78,106,114],"past":[37],"decade,":[38],"but":[39],"best":[42],"our":[44],"knowledge":[45],"no":[46],"existing":[47,107],"approach":[48],"jointly":[49],"integrates":[50],"with":[54,85],"probabilistic":[55,65,120],"inference.":[56],"this":[58],"paper,":[59],"we":[60],"introduce":[61],"first":[63],"planning-based":[64],"framework":[66,79,115],"for":[67,90,119],"Hierarchical":[72],"Task":[73],"Networks":[74],"(HTNs).":[75],"We":[76],"instantiate":[77],"by":[80],"HTN":[83,111],"planner":[84],"a":[86,117],"three-stage":[87],"generative":[88],"model":[89],"likelihood":[91],"estimation,":[92],"yielding":[93],"posterior":[94],"distributions":[95],"hypotheses.":[98],"Empirical":[99],"results":[100],"show":[101],"improved":[102],"performance":[104],"HTN-based":[108],"recognizer":[109],"on":[110],"benchmarks.":[112],"Overall,":[113],"lays":[116],"foundation":[118],"grounded":[123],"in":[124],"planning":[126],"structure,":[127],"moving":[128],"toward":[131],"more":[132],"practical":[133],"settings.":[134]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-28T00:00:00"}
