{"id":"https://openalex.org/W4404279724","doi":"https://doi.org/10.3389/frobt.2024.1384609","title":"Heuristic satisficing inferential decision making in human and robot active perception","display_name":"Heuristic satisficing inferential decision making in human and robot active perception","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4404279724","doi":"https://doi.org/10.3389/frobt.2024.1384609","pmid":"https://pubmed.ncbi.nlm.nih.gov/39600912"},"language":"en","primary_location":{"id":"doi:10.3389/frobt.2024.1384609","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frobt.2024.1384609","pdf_url":null,"source":{"id":"https://openalex.org/S2595095599","display_name":"Frontiers in Robotics and AI","issn_l":"2296-9144","issn":["2296-9144"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Robotics and AI","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3389/frobt.2024.1384609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100773464","display_name":"Yucheng Chen","orcid":"https://orcid.org/0000-0001-7836-3993"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yucheng Chen","raw_affiliation_strings":["Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States"],"affiliations":[{"raw_affiliation_string":"Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090275826","display_name":"Pingping Zhu","orcid":"https://orcid.org/0000-0002-9045-2398"},"institutions":[{"id":"https://openalex.org/I88694374","display_name":"Marshall University","ror":"https://ror.org/02erqft81","country_code":"US","type":"education","lineage":["https://openalex.org/I88694374"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pingping Zhu","raw_affiliation_strings":["College of Engineering and Computer Sciences, Marshall University, Huntington, IN, United States"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Sciences, Marshall University, Huntington, IN, United States","institution_ids":["https://openalex.org/I88694374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041702926","display_name":"Anthony Alers","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Alers","raw_affiliation_strings":["Department of Biomedical Engineering (BME), Duke University, Durham, NC, United States"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering (BME), Duke University, Durham, NC, United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029513186","display_name":"Tobias Egner","orcid":"https://orcid.org/0000-0001-7956-3241"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tobias Egner","raw_affiliation_strings":["Center fir Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University, Durham, NC, United States"],"affiliations":[{"raw_affiliation_string":"Center fir Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University, Durham, NC, United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088286059","display_name":"Marc A. Sommer","orcid":"https://orcid.org/0000-0001-5061-763X"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc A. Sommer","raw_affiliation_strings":["Department of Biomedical Engineering (BME), Duke University, Durham, NC, United States"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering (BME), Duke University, Durham, NC, United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101849469","display_name":"Silvio Ferrari","orcid":"https://orcid.org/0000-0002-7652-6311"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Silvia Ferrari","raw_affiliation_strings":["Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States"],"affiliations":[{"raw_affiliation_string":"Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101849469"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":{"value":1900,"currency":"USD","value_usd":1900},"apc_paid":{"value":1900,"currency":"USD","value_usd":1900},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18143917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1384609","last_page":"1384609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9945999979972839,"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":0.9945999979972839,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7455888986587524},{"id":"https://openalex.org/keywords/satisficing","display_name":"Satisficing","score":0.7213954329490662},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6411294937133789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5789292454719543},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5763726830482483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5469569563865662},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49893927574157715},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4839963912963867},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4587988257408142},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42833662033081055},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.411998450756073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455888986587524},{"id":"https://openalex.org/C94822996","wikidata":"https://www.wikidata.org/wiki/Q1777902","display_name":"Satisficing","level":2,"score":0.7213954329490662},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6411294937133789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5789292454719543},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5763726830482483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5469569563865662},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49893927574157715},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4839963912963867},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4587988257408142},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42833662033081055},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.411998450756073},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frobt.2024.1384609","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frobt.2024.1384609","pdf_url":null,"source":{"id":"https://openalex.org/S2595095599","display_name":"Frontiers in Robotics and AI","issn_l":"2296-9144","issn":["2296-9144"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Robotics and AI","raw_type":"journal-article"},{"id":"pmid:39600912","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39600912","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in robotics and AI","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11589672","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11589672","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Robot AI","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f89157c9b16843c591ac0c60a092c894","is_oa":true,"landing_page_url":"https://doaj.org/article/f89157c9b16843c591ac0c60a092c894","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Robotics and AI, Vol 11 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frobt.2024.1384609","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frobt.2024.1384609","pdf_url":null,"source":{"id":"https://openalex.org/S2595095599","display_name":"Frontiers in Robotics and AI","issn_l":"2296-9144","issn":["2296-9144"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Robotics and AI","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W80452623","https://openalex.org/W1424654272","https://openalex.org/W1510672157","https://openalex.org/W1568586930","https://openalex.org/W1595575180","https://openalex.org/W1755360231","https://openalex.org/W1854776945","https://openalex.org/W1971104722","https://openalex.org/W1977234485","https://openalex.org/W1980440818","https://openalex.org/W1991512494","https://openalex.org/W1998736700","https://openalex.org/W2003083840","https://openalex.org/W2004467535","https://openalex.org/W2011265495","https://openalex.org/W2022141716","https://openalex.org/W2025684874","https://openalex.org/W2035227502","https://openalex.org/W2040224636","https://openalex.org/W2041360700","https://openalex.org/W2041683889","https://openalex.org/W2046125952","https://openalex.org/W2053123342","https://openalex.org/W2095898844","https://openalex.org/W2096016260","https://openalex.org/W2097138799","https://openalex.org/W2098774185","https://openalex.org/W2110513315","https://openalex.org/W2110781393","https://openalex.org/W2111034477","https://openalex.org/W2113051269","https://openalex.org/W2128498260","https://openalex.org/W2132415562","https://openalex.org/W2135477755","https://openalex.org/W2141984432","https://openalex.org/W2148898016","https://openalex.org/W2148962857","https://openalex.org/W2153266059","https://openalex.org/W2157581667","https://openalex.org/W2157813244","https://openalex.org/W2159071801","https://openalex.org/W2165891524","https://openalex.org/W2173248099","https://openalex.org/W2181577014","https://openalex.org/W2209913494","https://openalex.org/W2296599096","https://openalex.org/W2321676908","https://openalex.org/W2487144912","https://openalex.org/W2490052927","https://openalex.org/W2531733684","https://openalex.org/W2566980308","https://openalex.org/W2613683719","https://openalex.org/W2736601468","https://openalex.org/W2753850322","https://openalex.org/W2794136334","https://openalex.org/W2796971335","https://openalex.org/W2905292813","https://openalex.org/W2921643950","https://openalex.org/W2923157122","https://openalex.org/W2946076934","https://openalex.org/W2987381518","https://openalex.org/W3014805772","https://openalex.org/W3098377319","https://openalex.org/W3123986649","https://openalex.org/W3144900023","https://openalex.org/W4212863985","https://openalex.org/W4231290711","https://openalex.org/W4234468044","https://openalex.org/W4235343393","https://openalex.org/W4242717215","https://openalex.org/W4245994031","https://openalex.org/W4249804345","https://openalex.org/W4250500495","https://openalex.org/W4254351250","https://openalex.org/W4290182923","https://openalex.org/W4295916087","https://openalex.org/W4299119055","https://openalex.org/W4302570325","https://openalex.org/W4382402823","https://openalex.org/W6641529508","https://openalex.org/W6659131104","https://openalex.org/W6661034682","https://openalex.org/W6674569077","https://openalex.org/W6674884181","https://openalex.org/W6675533633","https://openalex.org/W6677555207","https://openalex.org/W6684205842","https://openalex.org/W6700587798","https://openalex.org/W6718092244","https://openalex.org/W6738320989","https://openalex.org/W6741002519","https://openalex.org/W6765682022","https://openalex.org/W6772033386","https://openalex.org/W6785593814","https://openalex.org/W7043194854"],"related_works":["https://openalex.org/W4283767871","https://openalex.org/W2946084500","https://openalex.org/W72885726","https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W1536056491"],"abstract_inverted_index":{"Inferential":[0],"decision-making":[1],"algorithms":[2,169,215],"typically":[3],"assume":[4],"that":[5,64,89,173,212],"an":[6],"underlying":[7],"probabilistic":[8,155],"model":[9],"of":[10,85,151,166,197,209],"decision":[11,97],"alternatives":[12],"and":[13,53,60,69,76,111,145,154,158,183,192,231],"outcomes":[14],"may":[15],"be":[16],"learned":[17],"<i>a":[18],"priori</i>":[19],"or":[20,34],"online.":[21],"Furthermore,":[22],"when":[23,135,159],"applied":[24,136],"to":[25,36,137,141,216,218],"robots":[26,172],"in":[27,58,123,187],"real-world":[28],"settings":[29,71],"they":[30,48],"often":[31],"perform":[32],"unsatisfactorily":[33],"fail":[35,217],"accomplish":[37],"the":[38,94,149,198,220],"necessary":[39],"tasks":[40],"because":[41,47],"this":[42,59,103],"assumption":[43],"is":[44,163,203],"violated":[45],"and/or":[46],"experience":[49],"unanticipated":[50,210],"external":[51,152],"pressures":[52,153],"constraints.":[54],"Cognitive":[55],"studies":[56],"presented":[57],"other":[61],"papers":[62],"show":[63],"humans":[65],"cope":[66],"with":[67],"complex":[68],"unknown":[70],"by":[72,81],"modulating":[73],"between":[74,143],"near-optimal":[75],"satisficing":[77],"solutions,":[78],"including":[79],"heuristics,":[80],"leveraging":[82],"information":[83,181,184],"value":[84],"available":[86],"environmental":[87],"cues":[88],"are":[90],"possibly":[91],"redundant.":[92],"Using":[93],"benchmark":[95],"inferential":[96],"problem":[98],"known":[99],"as":[100,225],"\"treasure":[101],"hunt\",":[102],"paper":[104],"develops":[105],"a":[106,164,206],"general":[107],"approach":[108,127],"for":[109,170,222],"investigating":[110],"modeling":[112],"active":[113,167,200],"perception":[114,168,201],"solutions":[115,147,176],"under":[116,205],"pressure.":[117],"By":[118],"simulating":[119],"treasure":[120],"hunt":[121],"problems":[122],"virtual":[124],"worlds,":[125],"our":[126],"learns":[128],"generalizable":[129],"strategies":[130,202],"from":[131],"high":[132],"performers":[133],"that,":[134],"robots,":[138],"allow":[139],"them":[140],"modulate":[142],"optimal":[144],"heuristic":[146],"on":[148],"basis":[150],"models,":[156],"if":[157],"available.":[160],"The":[161,195],"result":[162],"suite":[165],"camera-equipped":[171],"outperform":[174],"treasure-hunt":[175],"obtained":[177],"via":[178],"cell":[179],"decomposition,":[180],"roadmap,":[182],"potential":[185],"algorithms,":[186],"both":[188],"high-fidelity":[189],"numerical":[190],"simulations":[191],"physical":[193],"experiments.":[194],"effectiveness":[196],"new":[199],"demonstrated":[204],"broad":[207],"range":[208],"conditions":[211],"cause":[213],"existing":[214],"complete":[219],"search":[221],"treasures,":[223],"such":[224],"unmodelled":[226],"time":[227],"constraints,":[228,230],"resource":[229],"adverse":[232],"weather":[233],"(fog).":[234]},"counts_by_year":[],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}