{"id":"https://openalex.org/W4313495886","doi":"https://doi.org/10.1109/scisisis55246.2022.10002158","title":"Estimating Human Strategies by Collision Avoidance Experiments with Meta-strategy Agents","display_name":"Estimating Human Strategies by Collision Avoidance Experiments with Meta-strategy Agents","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4313495886","doi":"https://doi.org/10.1109/scisisis55246.2022.10002158"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis55246.2022.10002158","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/scisisis55246.2022.10002158","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","raw_type":"proceedings-article"},"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/A5076373207","display_name":"Norifumi Watanabe","orcid":"https://orcid.org/0000-0001-7044-4449"},"institutions":[{"id":"https://openalex.org/I200641316","display_name":"Musashino University","ror":"https://ror.org/04bcbax71","country_code":"JP","type":"education","lineage":["https://openalex.org/I200641316"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norifumi Watanabe","raw_affiliation_strings":["Musashino University,Graduate School of Data Science,Tokyo,JAPAN","Graduate School of Data Science, Musashino University, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Musashino University,Graduate School of Data Science,Tokyo,JAPAN","institution_ids":["https://openalex.org/I200641316"]},{"raw_affiliation_string":"Graduate School of Data Science, Musashino University, Tokyo, JAPAN","institution_ids":["https://openalex.org/I200641316"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111120006","display_name":"Kensuke Miyamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]},{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensuke Miyamoto","raw_affiliation_strings":["Keio University,Graduate School of Media and Governance,Kanagawa,JAPAN","Graduate School of Media and Governance, Keio University, Kanagawa, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University,Graduate School of Media and Governance,Kanagawa,JAPAN","institution_ids":["https://openalex.org/I4210141715"]},{"raw_affiliation_string":"Graduate School of Media and Governance, Keio University, Kanagawa, JAPAN","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9914000034332275,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9914000034332275,"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":0.9811000227928162,"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"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.8780059218406677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442285776138306},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4763346314430237},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2152237892150879}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.8780059218406677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442285776138306},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4763346314430237},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2152237892150879}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis55246.2022.10002158","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/scisisis55246.2022.10002158","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4684426549","display_name":"Analysis of Cooperative Behavior and Construction of Learning Support System by Constructive Approach","funder_award_id":"16K21442","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1582178041","https://openalex.org/W2011787787","https://openalex.org/W2029780883","https://openalex.org/W2168904841","https://openalex.org/W2170345640","https://openalex.org/W2172137697","https://openalex.org/W2275196084","https://openalex.org/W2323648988","https://openalex.org/W2786980520","https://openalex.org/W3011120880","https://openalex.org/W3133202964"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4317634134","https://openalex.org/W2981729160","https://openalex.org/W4310743282","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311"],"abstract_inverted_index":{"In":[0,38],"human":[1],"cooperative":[2],"behavior,":[3],"there":[4],"are":[5],"some":[6],"strategies:":[7],"a":[8,32,43,52],"passive":[9],"behavioral":[10,19],"strategy":[11,20,65,97],"based":[12,21],"on":[13,22],"others\u2019":[14],"behaviors":[15],"and":[16],"an":[17],"active":[18],"the":[23,58,63,70,74,77,80,94,99,102],"objective-first.":[24],"However,":[25],"it":[26],"is":[27],"unclear":[28],"how":[29],"to":[30,34,55],"acquire":[31],"meta-strategy":[33],"switch":[35],"those":[36],"strategies.":[37],"this":[39],"study,":[40],"we":[41,68],"conduct":[42],"collision-avoidance":[44],"experiment":[45],"with":[46,76],"agents":[47,81],"taking":[48],"multiple":[49],"strategies":[50],"in":[51,96],"grid-like":[53],"corridor":[54],"see":[56],"whether":[57],"subject\u2019s":[59],"behavior":[60,71,78,100],"changes":[61],"when":[62],"agent\u2019s":[64],"changes.":[66],"Furthermore,":[67],"compare":[69],"selected":[72],"by":[73,83],"subjects":[75,91],"of":[79,101],"acquired":[82],"reinforcement":[84],"learning.":[85],"The":[86],"experimental":[87],"results":[88],"show":[89],"that":[90],"can":[92],"read":[93],"change":[95],"from":[98],"opposing":[103],"agent.":[104]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}