{"id":"https://openalex.org/W2741100954","doi":"https://doi.org/10.24963/ijcai.2017/610","title":"Deceptive Path-Planning","display_name":"Deceptive Path-Planning","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741100954","doi":"https://doi.org/10.24963/ijcai.2017/610","mag":"2741100954"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/610","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/610","pdf_url":"https://www.ijcai.org/proceedings/2017/0610.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0610.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032193462","display_name":"Peta Masters","orcid":"https://orcid.org/0000-0002-2217-9254"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peta Masters","raw_affiliation_strings":["RMIT University, Australia","RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045872670","display_name":"Sebastian Sardi\u00f1a","orcid":"https://orcid.org/0000-0003-2962-0118"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sebastian Sardina","raw_affiliation_strings":["RMIT University, Australia","RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9569,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.96167106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4368","last_page":"4375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9919000267982483,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9919000267982483,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9891999959945679,"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":0.9843000173568726,"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":0.8295827507972717},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.7795031666755676},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7584936618804932},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6930180788040161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636937856674194},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5487809181213379},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5453881025314331},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4585449993610382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44603824615478516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35787123441696167},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3278053104877472},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3214240074157715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.197208970785141}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.8295827507972717},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.7795031666755676},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7584936618804932},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6930180788040161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636937856674194},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5487809181213379},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5453881025314331},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4585449993610382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44603824615478516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35787123441696167},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3278053104877472},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3214240074157715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.197208970785141},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2017/610","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/610","pdf_url":"https://www.ijcai.org/proceedings/2017/0610.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11246748220001341","is_oa":false,"landing_page_url":"http://purl.org/au-research/grants/arc/DP120100332","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27368991","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/610","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/610","pdf_url":"https://www.ijcai.org/proceedings/2017/0610.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5546021925","display_name":null,"funder_award_id":"DP120100332","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741100954.pdf","grobid_xml":"https://content.openalex.org/works/W2741100954.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W69219414","https://openalex.org/W88777665","https://openalex.org/W94200858","https://openalex.org/W206739251","https://openalex.org/W1484387568","https://openalex.org/W1572384134","https://openalex.org/W1575558843","https://openalex.org/W1969004079","https://openalex.org/W1969483458","https://openalex.org/W1998811305","https://openalex.org/W2021061679","https://openalex.org/W2032160998","https://openalex.org/W2073502791","https://openalex.org/W2077375749","https://openalex.org/W2104317982","https://openalex.org/W2107025306","https://openalex.org/W2133328526","https://openalex.org/W2135125135","https://openalex.org/W2142121158","https://openalex.org/W2151516755","https://openalex.org/W2169643441","https://openalex.org/W2186819766","https://openalex.org/W2264956082","https://openalex.org/W2293192134","https://openalex.org/W2397929380","https://openalex.org/W2487962552","https://openalex.org/W2574699440","https://openalex.org/W2620640742","https://openalex.org/W4232217679","https://openalex.org/W4307979480"],"related_works":["https://openalex.org/W2165717120","https://openalex.org/W2039390456","https://openalex.org/W2948663225","https://openalex.org/W2029954793","https://openalex.org/W1992683634","https://openalex.org/W4295295666","https://openalex.org/W1978059949","https://openalex.org/W2512387791","https://openalex.org/W70044515","https://openalex.org/W2128448209"],"abstract_inverted_index":{"Deceptive":[0],"path-planning":[1,35],"involves":[2],"finding":[3],"a":[4,41,74],"path":[5],"such":[6],"that":[7],"the":[8,14,38,85,94,99],"probability":[9],"of":[10,40,51,87],"an":[11,78],"observer":[12],"identifying":[13],"path's":[15],"final":[16],"destination":[17],"-":[18,24],"before":[19],"it":[20,32],"has":[21],"been":[22],"reached":[23],"is":[25],"minimised.":[26],"This":[27],"paper":[28],"formalises":[29],"deception":[30],"as":[31],"applies":[33],"to":[34,57,63,76],"and":[36,81,96],"introduces":[37],"notion":[39],"last":[42],"deceptive":[43,88],"point":[44],"(LDP)":[45],"which,":[46],"when":[47],"measured":[48],"in":[49,69],"terms":[50],"'path":[52],"completion',":[53],"can":[54],"be":[55],"used":[56],"rank":[58],"paths":[59,89],"by":[60,90],"their":[61],"potential":[62],"deceive.":[64],"Building":[65],"on":[66],"recent":[67],"developments":[68],"probabilistic":[70],"goal-recognition,":[71],"we":[72],"propose":[73],"formula":[75],"calculate":[77],"optimal":[79],"LDP":[80],"present":[82],"strategies":[83],"for":[84],"generation":[86],"both":[91],"simulation":[92],"('showing":[93],"false')":[95],"dissimulation":[97],"('hiding":[98],"real').":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}