{"id":"https://openalex.org/W4400119169","doi":"https://doi.org/10.3390/make6030067","title":"Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms","display_name":"Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400119169","doi":"https://doi.org/10.3390/make6030067"},"language":"en","primary_location":{"id":"doi:10.3390/make6030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6030067","pdf_url":"https://www.mdpi.com/2504-4990/6/3/67/pdf?version=1719496142","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/6/3/67/pdf?version=1719496142","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028125958","display_name":"Zoi Lygizou","orcid":"https://orcid.org/0000-0001-8414-7963"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Zoi Lygizou","raw_affiliation_strings":["School of Science & Technology, Hellenic Open University, 263 35 Patra, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science & Technology, Hellenic Open University, 263 35 Patra, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068179203","display_name":"Dimitris Kalles","orcid":"https://orcid.org/0000-0003-0364-5966"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dimitris Kalles","raw_affiliation_strings":["School of Science & Technology, Hellenic Open University, 263 35 Patra, Greece"],"raw_orcid":"https://orcid.org/0000-0003-0364-5966","affiliations":[{"raw_affiliation_string":"School of Science & Technology, Hellenic Open University, 263 35 Patra, Greece","institution_ids":["https://openalex.org/I231025917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028125958","https://openalex.org/A5068179203"],"corresponding_institution_ids":["https://openalex.org/I231025917"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6508,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73283554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"6","issue":"3","first_page":"1413","last_page":"1438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11424","display_name":"Security and Verification in Computing","score":0.9980000257492065,"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/T11424","display_name":"Security and Verification in Computing","score":0.9980000257492065,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9970999956130981,"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/T10927","display_name":"Access Control and Trust","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.62574303150177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41607749462127686},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33742398023605347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62574303150177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41607749462127686},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33742398023605347}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/make6030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6030067","pdf_url":"https://www.mdpi.com/2504-4990/6/3/67/pdf?version=1719496142","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8d82873e254248bd92b166aca453c27f","is_oa":false,"landing_page_url":"https://doaj.org/article/8d82873e254248bd92b166aca453c27f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1413-1438 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/make6030067","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6030067","pdf_url":"https://www.mdpi.com/2504-4990/6/3/67/pdf?version=1719496142","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400119169.pdf","grobid_xml":"https://content.openalex.org/works/W4400119169.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1901801052","https://openalex.org/W1970554353","https://openalex.org/W2095922308","https://openalex.org/W2145339207","https://openalex.org/W2274848731","https://openalex.org/W3048075210","https://openalex.org/W3091348074","https://openalex.org/W3121957495","https://openalex.org/W4206159617","https://openalex.org/W4214717370","https://openalex.org/W4214809613","https://openalex.org/W4297679039","https://openalex.org/W4366771583","https://openalex.org/W4391652927","https://openalex.org/W6783825189"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Recent":[0],"work":[1],"on":[2,24,163],"decentralized":[3],"computational":[4],"trust":[5,38,69,118],"models":[6],"for":[7],"open":[8],"multi-agent":[9],"systems":[10],"has":[11],"resulted":[12],"in":[13,36,95,111,122,136,184,247],"the":[14,25,43,57,80,90,101,105,142,152,172,176,208,211,215],"development":[15],"of":[16,107,144,175,203,210,217,236],"CA,":[17],"a":[18,32,67,132,137,164,185,196,201],"biologically":[19],"inspired":[20],"model":[21,30,119,222,242],"which":[22,117],"focuses":[23],"trustee\u2019s":[26],"perspective.":[27],"This":[28],"new":[29],"addresses":[31],"serious":[33],"unresolved":[34],"problem":[35,130,135],"existing":[37],"and":[39,50,54,70,73,114,154,178,226],"reputation":[40,71],"models,":[41],"namely":[42],"inability":[44],"to":[45,65,89,120,124,151,170,190,193,195,206,239],"handle":[46],"constantly":[47],"changing":[48,197],"behaviors":[49],"agents\u2019":[51],"continuous":[52],"entry":[53],"exit":[55],"from":[56],"system.":[58],"In":[59],"previous":[60],"work,":[61],"we":[62,98,155,227],"compared":[63],"CA":[64,76],"FIRE,":[66],"well-known":[68],"model,":[72],"found":[74],"that":[75,229],"is":[77,86,148,233],"superior":[78],"when":[79,238],"trustor":[81,160,213],"population":[82,92],"changes,":[83],"whereas":[84],"FIRE":[85],"more":[87],"resilient":[88],"trustee":[91],"changes.":[93],"Thus,":[94],"this":[96,129],"paper,":[97],"investigate":[99],"how":[100,157,192],"trustors":[102,218],"can":[103,161],"detect":[104],"presence":[106,143],"several":[108,145],"dynamic":[109,146,248],"factors":[110,147],"their":[112],"environment":[113,177],"then":[115,179],"decide":[116],"employ":[121],"order":[123],"maximize":[125],"utility.":[126],"We":[127,199],"frame":[128],"as":[131,169],"machine":[133],"learning":[134,188,237],"partially":[138],"observable":[139],"environment,":[140],"where":[141],"not":[149],"known":[150],"trustor,":[153],"describe":[156],"an":[158,230],"adaptable":[159,212,231],"rely":[162],"few":[165],"measurable":[166],"features":[167],"so":[168],"assess":[171],"current":[173],"state":[174],"use":[180,240],"Deep":[181],"Q-Learning":[182],"(DQL),":[183],"single-agent":[186],"reinforcement":[187],"setting,":[189],"learn":[191],"adapt":[194],"environment.":[198],"ran":[200],"series":[202],"simulation":[204],"experiments":[205],"compare":[207],"performance":[209,216],"with":[214],"using":[219],"only":[220],"one":[221],"(FIRE":[223],"or":[224],"CA)":[225],"show":[228],"agent":[232],"indeed":[234],"capable":[235],"each":[241],"and,":[243],"thus,":[244],"perform":[245],"consistently":[246],"environments.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}