{"id":"https://openalex.org/W3116138941","doi":"https://doi.org/10.1109/icce50685.2021.9427633","title":"Using Markov Decision Process to Model Deception for Robotic and Interactive Game Applications","display_name":"Using Markov Decision Process to Model Deception for Robotic and Interactive Game Applications","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3116138941","doi":"https://doi.org/10.1109/icce50685.2021.9427633","mag":"3116138941"},"language":"en","primary_location":{"id":"doi:10.1109/icce50685.2021.9427633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.10251","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ali Ayub","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Ayub","raw_affiliation_strings":["The Pennsylvania State University, PA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, PA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aldo Morales","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aldo Morales","raw_affiliation_strings":["Penn State Harrisburg, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn State Harrisburg, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":null,"display_name":"Amit Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Banerjee","raw_affiliation_strings":["Penn State Harrisburg, PA, USA"],"affiliations":[{"raw_affiliation_string":"Penn State Harrisburg, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.01190501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9904999732971191,"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/deception","display_name":"Deception","score":0.8622000217437744},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5863999724388123},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5268999934196472},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5205000042915344},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.498199999332428},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4472000002861023},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41350001096725464},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4129999876022339},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3984000086784363}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.8622000217437744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132999897003174},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5863999724388123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666000247001648},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5205000042915344},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.47350001335144043},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4472000002861023},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4115999937057495},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C122308676","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision-making","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icce50685.2021.9427633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.10251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10251","pdf_url":"https://arxiv.org/pdf/1910.10251","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:scholarsphere.psu.edu:e501071d-fbf3-47d7-80c4-928117ed9607","is_oa":false,"landing_page_url":"https://scholarsphere.psu.edu/resources/e501071d-fbf3-47d7-80c4-928117ed9607","pdf_url":null,"source":{"id":"https://openalex.org/S4306401507","display_name":"ScholarSphere (Penn State Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3130638595","host_organization_name":"Pangasinan State University","host_organization_lineage":["https://openalex.org/I3130638595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.10251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.10251","pdf_url":"https://arxiv.org/pdf/1910.10251","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W56793145","https://openalex.org/W1152167148","https://openalex.org/W1972770177","https://openalex.org/W1988292506","https://openalex.org/W2005815574","https://openalex.org/W2010737698","https://openalex.org/W2042548378","https://openalex.org/W2052885930","https://openalex.org/W2074478067","https://openalex.org/W2103929204","https://openalex.org/W2126316555","https://openalex.org/W2132090144","https://openalex.org/W2148048130","https://openalex.org/W2750126382","https://openalex.org/W2963978778","https://openalex.org/W3037665171","https://openalex.org/W6631535503","https://openalex.org/W6633724138"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"deception":[3,52],"in":[4],"the":[5,57,62],"context":[6],"of":[7,97],"motion":[8],"using":[9],"a":[10,22,29,47,68],"simulated":[11],"mobile":[12,23,63],"robot.":[13],"We":[14,26,66],"analyze":[15],"some":[16],"previously":[17],"designed":[18],"deceptive":[19,36,76,98],"strategies":[20],"on":[21,53],"robot":[24,64],"simulator.":[25,65],"then":[27],"present":[28],"novel":[30],"approach":[31],"to":[32,38,50,71],"adaptively":[33],"choose":[34],"target-oriented":[35],"trajectories":[37],"deceive":[39],"humans":[40,84],"for":[41,86],"multiple":[42,87],"interactions.":[43],"Additionally,":[44],"we":[45],"propose":[46],"new":[48],"metric":[49],"evaluate":[51],"data":[54],"collected":[55],"from":[56],"users":[58],"when":[59],"interacting":[60],"with":[61],"performed":[67],"user":[69],"study":[70],"test":[72],"our":[73,81],"proposed":[74],"adaptive":[75],"algorithm,":[77],"which":[78],"shows":[79],"that":[80],"algorithm":[82],"deceives":[83],"even":[85],"interactions":[88],"and":[89],"it":[90],"is":[91],"more":[92],"effective":[93],"than":[94],"random":[95],"choice":[96],"strategies.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-01-05T00:00:00"}
