{"id":"https://openalex.org/W2128846151","doi":null,"title":"A Self-adaptive Predictive Policy for Pursuit-evasion Game","display_name":"A Self-adaptive Predictive Policy for Pursuit-evasion Game","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2128846151","mag":"2128846151"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.193.6615","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.6615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iis.sinica.edu.tw/page/jise/2008/200809_07.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100693527","display_name":"Zhen Luo","orcid":"https://orcid.org/0009-0007-7831-9475","observed_orcids":["https://orcid.org/0009-0007-7831-9475"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhen Luo","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0007-7831-9475","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051221275","display_name":"Qixin Cao","orcid":"https://orcid.org/0000-0001-5462-9857","observed_orcids":["https://orcid.org/0000-0001-5462-9857"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qixin Cao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5462-9857","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114113969","display_name":"Yanzheng Zhao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanzheng Zhao","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":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25693275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"24","issue":"5","first_page":"1397","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.7651000022888184,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.05730000138282776,"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":0.026100000366568565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/pursuit-evasion-games","display_name":"pursuit-evasion games","score":0.9079999923706055},{"id":"https://openalex.org/keywords/opponent-modeling","display_name":"opponent modeling","score":0.9440000057220459},{"id":"https://openalex.org/keywords/adversarial-games","display_name":"adversarial games","score":0.6029999852180481},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7310000061988831},{"id":"https://openalex.org/keywords/expected-payoff","display_name":"expected payoff","score":0.8349999785423279},{"id":"https://openalex.org/keywords/soccer-robots","display_name":"soccer robots","score":0.9049999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627874612808228},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.674275279045105},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6368719935417175},{"id":"https://openalex.org/C2776927521","wikidata":"https://www.wikidata.org/wiki/Q468489","display_name":"Pursuer","level":2,"score":0.6009252071380615},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.554728627204895},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.539773166179657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46531274914741516},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4211081862449646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3455653786659241},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.21897488832473755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19716805219650269},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12081015110015869},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.193.6615","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.6615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iis.sinica.edu.tw/page/jise/2008/200809_07.pdf","raw_type":"text"},{"id":"mag:2128846151","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/jise/jise24.html#LuoCZ08","pdf_url":null,"source":{"id":"https://openalex.org/S106179100","display_name":"Journal of information science and engineering","issn_l":"1016-2364","issn":["1016-2364"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4324277498","host_organization_name":"Institute of Information Science","host_organization_lineage":["https://openalex.org/P4324277498"],"host_organization_lineage_names":["Institute of Information Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of information science and engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1749855676","https://openalex.org/W1963587031","https://openalex.org/W2049287102","https://openalex.org/W2097856935","https://openalex.org/W2113367504","https://openalex.org/W2147492008","https://openalex.org/W2157626100","https://openalex.org/W2160484294","https://openalex.org/W2367190454","https://openalex.org/W2378680093","https://openalex.org/W2379530464","https://openalex.org/W2543812579","https://openalex.org/W3183630977"],"related_works":["https://openalex.org/W2026319405","https://openalex.org/W1900131006","https://openalex.org/W7097768840","https://openalex.org/W4200238404","https://openalex.org/W4401416028","https://openalex.org/W4386821828","https://openalex.org/W7202294087","https://openalex.org/W3090502742","https://openalex.org/W7101005853","https://openalex.org/W7139021003"],"abstract_inverted_index":{"The":[0],"proposed":[1,162],"self-adaptive":[2],"predictive":[3],"pursuing":[4],"policy":[5,163],"consists":[6,104],"of":[7,15,19,26,40,75,77,84,90,105,142,149],"an":[8],"action":[9,21,41,52,79,92,115],"decision-making":[10,102,118],"procedure":[11,14,103],"and":[12,71,114,158],"a":[13,73],"adjusting":[16],"the":[17,38,65,88,122,161],"estimation":[18,25,76,89],"evader\u2019s":[20,59,78,91,99],"preference.":[22],"Since":[23],"correct":[24],"opponent\u2019s":[27,45],"intention":[28],"would":[29],"do":[30],"good":[31],"to":[32,43,57,63],"win":[33],"adversarial":[34,145],"games,":[35],"it":[36],"introduces":[37],"conception":[39],"preference":[42,53,80,93],"model":[44,58],"decision-making.":[46],"Because":[47],"evader":[48],"often":[49],"has":[50,62,154],"different":[51,55],"in":[54,94],"situation,":[56],"decision-making,":[60],"pursuer":[61],"divide":[64],"situation":[66,96,106],"space":[67],"into":[68],"many":[69],"categories":[70],"provide":[72],"set":[74],"for":[81],"each":[82],"kind":[83],"situation.":[85,146],"Pursuer":[86],"adjusts":[87],"certain":[95],"by":[97,126,140],"observing":[98],"action.":[100],"Action":[101,117],"sorting,":[107],"possible":[108],"future":[109],"states":[110],"computation,":[111],"payoff":[112],"evaluation":[113],"selection.":[116],"is":[119,164],"based":[120],"on":[121],"decision":[123],"tree":[124],"constructed":[125],"expected":[127],"payoffs.":[128,135],"Expected":[129],"payoffs":[130,137],"are":[131,138],"integrated":[132],"from":[133],"single":[134],"Single":[136],"evaluated":[139],"gains":[141],"features":[143],"reflecting":[144],"A":[147],"simulation":[148],"middle":[150],"size":[151],"soccer":[152],"robots":[153],"been":[155],"carried":[156],"out":[157],"illustrated":[159],"that":[160],"effective.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}