{"id":"https://openalex.org/W4352976823","doi":"https://doi.org/10.1007/978-3-031-28719-0_23","title":"Efficient Search of Active Inference Policy Spaces Using k-Means","display_name":"Efficient Search of Active Inference Policy Spaces Using k-Means","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4352976823","doi":"https://doi.org/10.1007/978-3-031-28719-0_23"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-28719-0_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-28719-0_23","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5013254960","display_name":"Alex Kiefer","orcid":"https://orcid.org/0000-0003-1957-797X"},"institutions":[{"id":"https://openalex.org/I4394709236","display_name":"VERSES (United States)","ror":"https://ror.org/026svqy15","country_code":null,"type":"company","lineage":["https://openalex.org/I4394709236"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Alex B. Kiefer","raw_affiliation_strings":["Monash University, Melbourne, Australia","VERSES Research Labs, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"VERSES Research Labs, Los Angeles, USA","institution_ids":["https://openalex.org/I4394709236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080434549","display_name":"Mahault Albarracin","orcid":"https://orcid.org/0000-0003-0916-4645"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I4394709236","display_name":"VERSES (United States)","ror":"https://ror.org/026svqy15","country_code":null,"type":"company","lineage":["https://openalex.org/I4394709236"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahault Albarracin","raw_affiliation_strings":["Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Montreal, Canada","VERSES Research Labs, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]},{"raw_affiliation_string":"VERSES Research Labs, Los Angeles, USA","institution_ids":["https://openalex.org/I4394709236"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013254960"],"corresponding_institution_ids":["https://openalex.org/I4394709236","https://openalex.org/I56590836"],"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":"328","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9983000159263611,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9983000159263611,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9915000200271606,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9674000144004822,"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/tree-traversal","display_name":"Tree traversal","score":0.8131388425827026},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6965540647506714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396769285202026},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6258262991905212},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5687112808227539},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.5056319236755371},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5001285076141357},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4968145191669464},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49528446793556213},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4807869791984558},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44146817922592163},{"id":"https://openalex.org/keywords/space-policy","display_name":"Space policy","score":0.4414413869380951},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4151158034801483},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40667396783828735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3391420245170593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32771557569503784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3066829741001129},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2543926239013672},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17123490571975708}],"concepts":[{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.8131388425827026},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6965540647506714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396769285202026},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6258262991905212},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5687112808227539},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.5056319236755371},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5001285076141357},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4968145191669464},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49528446793556213},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4807869791984558},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44146817922592163},{"id":"https://openalex.org/C2778601427","wikidata":"https://www.wikidata.org/wiki/Q7572612","display_name":"Space policy","level":3,"score":0.4414413869380951},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4151158034801483},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40667396783828735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391420245170593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32771557569503784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3066829741001129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2543926239013672},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17123490571975708},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-28719-0_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-28719-0_23","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1989898761","https://openalex.org/W2014114527","https://openalex.org/W2086178277","https://openalex.org/W2617241599","https://openalex.org/W2953018250","https://openalex.org/W2976973594","https://openalex.org/W3001808890","https://openalex.org/W3095485376","https://openalex.org/W3163829518","https://openalex.org/W3214739313","https://openalex.org/W3216293753","https://openalex.org/W4226023986","https://openalex.org/W4229063633","https://openalex.org/W6832756385"],"related_works":["https://openalex.org/W2200188075","https://openalex.org/W4252596799","https://openalex.org/W4254594467","https://openalex.org/W4230405657","https://openalex.org/W244044452","https://openalex.org/W2552915643","https://openalex.org/W3213135344","https://openalex.org/W170547082","https://openalex.org/W3183956626","https://openalex.org/W2136735429"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}