{"id":"https://openalex.org/W2794903457","doi":"https://doi.org/10.2478/jagi-2018-0001","title":"Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results","display_name":"Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2794903457","doi":"https://doi.org/10.2478/jagi-2018-0001","mag":"2794903457"},"language":"en","primary_location":{"id":"doi:10.2478/jagi-2018-0001","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jagi-2018-0001","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jagi/9/1/article-p1.pdf","source":{"id":"https://openalex.org/S4210180872","display_name":"Journal of Artificial General Intelligence","issn_l":"1946-0163","issn":["1946-0163"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial General Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://content.sciendo.com/downloadpdf/journals/jagi/9/1/article-p1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047910122","display_name":"Ond\u0159ej Vadinsk\u00fd","orcid":"https://orcid.org/0000-0002-0910-3140"},"institutions":[{"id":"https://openalex.org/I35913352","display_name":"Prague University of Economics and Business","ror":"https://ror.org/029ecwj92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I35913352"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Ond\u0159ej Vadinsk\u00fd","raw_affiliation_strings":["Department of Information and Knowledge Engineering University of Economics, Prague , Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Knowledge Engineering University of Economics, Prague , Czech Republic","institution_ids":["https://openalex.org/I35913352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047910122"],"corresponding_institution_ids":["https://openalex.org/I35913352"],"apc_list":null,"apc_paid":null,"fwci":0.2149,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53427692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":"1","first_page":"1","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9804999828338623,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.978600025177002,"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/replicate","display_name":"Replicate","score":0.7191440463066101},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.7159016132354736},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6796724200248718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6764447689056396},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6560835242271423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104838848114014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5614876747131348},{"id":"https://openalex.org/keywords/quotient","display_name":"Quotient","score":0.5317612290382385},{"id":"https://openalex.org/keywords/quotient-space","display_name":"Quotient space (topology)","score":0.47381630539894104},{"id":"https://openalex.org/keywords/artificial-general-intelligence","display_name":"Artificial general intelligence","score":0.42427781224250793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16539594531059265},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15088844299316406}],"concepts":[{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.7191440463066101},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.7159016132354736},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6796724200248718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764447689056396},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6560835242271423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104838848114014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5614876747131348},{"id":"https://openalex.org/C199422724","wikidata":"https://www.wikidata.org/wiki/Q41118","display_name":"Quotient","level":2,"score":0.5317612290382385},{"id":"https://openalex.org/C40753290","wikidata":"https://www.wikidata.org/wiki/Q1139111","display_name":"Quotient space (topology)","level":3,"score":0.47381630539894104},{"id":"https://openalex.org/C162027153","wikidata":"https://www.wikidata.org/wiki/Q2264109","display_name":"Artificial general intelligence","level":2,"score":0.42427781224250793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16539594531059265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15088844299316406},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jagi-2018-0001","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jagi-2018-0001","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jagi/9/1/article-p1.pdf","source":{"id":"https://openalex.org/S4210180872","display_name":"Journal of Artificial General Intelligence","issn_l":"1946-0163","issn":["1946-0163"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial General Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jagi-2018-0001","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jagi-2018-0001","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jagi/9/1/article-p1.pdf","source":{"id":"https://openalex.org/S4210180872","display_name":"Journal of Artificial General Intelligence","issn_l":"1946-0163","issn":["1946-0163"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial General Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794903457.pdf","grobid_xml":"https://content.openalex.org/works/W2794903457.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W684736","https://openalex.org/W80679475","https://openalex.org/W1498206907","https://openalex.org/W1790098863","https://openalex.org/W1896677180","https://openalex.org/W2001771035","https://openalex.org/W2017561954","https://openalex.org/W2023992539","https://openalex.org/W2032474022","https://openalex.org/W2032595026","https://openalex.org/W2077790957","https://openalex.org/W2100563667","https://openalex.org/W2101493843","https://openalex.org/W2114485587","https://openalex.org/W2117703827","https://openalex.org/W2121281219","https://openalex.org/W2123998733","https://openalex.org/W2128396636","https://openalex.org/W2131478350","https://openalex.org/W2137509429","https://openalex.org/W2145482038","https://openalex.org/W2186951313","https://openalex.org/W2251410821","https://openalex.org/W2949624955","https://openalex.org/W3011120880","https://openalex.org/W3085162807","https://openalex.org/W4254865196","https://openalex.org/W6669902950","https://openalex.org/W6681436189","https://openalex.org/W6775686901","https://openalex.org/W6843735874","https://openalex.org/W7036912993"],"related_works":["https://openalex.org/W1975179576","https://openalex.org/W2042649637","https://openalex.org/W4237086259","https://openalex.org/W1584507652","https://openalex.org/W2948542527","https://openalex.org/W4295535217","https://openalex.org/W2018938659","https://openalex.org/W4300528480","https://openalex.org/W2971957670","https://openalex.org/W1967884200"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2,234],"attempts":[3],"to":[4,82,94,103,135,147,174,176,208,240],"replicate":[5],"the":[6,14,36,45,51,67,70,78,88,95,99,110,121,128,141,167,193,216,233,248],"results":[7,89],"of":[8,53,109,112,115,130,223,245,247],"evaluating":[9],"several":[10,160],"artificial":[11,154],"agents":[12,212],"using":[13,30,75],"Algorithmic":[15,142],"Intelligence":[16,143],"Quotient":[17,144],"test":[18,145,163,194,217],"originally":[19],"reported":[20],"by":[21],"Legg":[22],"and":[23,41,61,171,227],"Veness.":[24],"Three":[25],"experiments":[26],"were":[27],"conducted:":[28],"One":[29],"default":[31,122],"settings,":[32],"one":[33,42],"in":[34,43,120,191,232],"which":[35,44],"action":[37,100],"space":[38,47,80,101],"was":[39,48,124],"varied":[40],"observation":[46,79],"varied.":[49],"While":[50],"performance":[52,119],"freq,":[54],"Q":[55,58],"0":[56],",":[57,60],"\u03bb":[59,63],"HLQ":[62],"corresponded":[64],"well":[65],"with":[66,127,215,236],"original":[68,96],"results,":[69],"resulting":[71],"values":[72],"differed,":[73],"when":[74],"MC-AIXI.":[76],"Varying":[77],"seems":[81,102,146],"have":[83,104],"no":[84],"qualitative":[85],"impact":[86,111],"on":[87,117,166],"as":[90,151],"reported,":[91],"while":[92],"(contrary":[93],"results)":[97],"varying":[98],"some":[105,182,246],"impact.":[106],"An":[107,243],"analysis":[108],"modifying":[113],"parameters":[114],"MC-AIXI":[116],"its":[118,177],"settings":[123],"carried":[125],"out":[126,181],"help":[129],"data":[131],"mining":[132],"techniques":[133],"used":[134],"identifying":[136],"highly":[137],"performing":[138],"configurations.":[139],"Overall,":[140],"be":[148,199],"reliable,":[149],"however":[150],"a":[152],"general":[153],"intelligence":[155],"evaluation":[156],"method":[157],"it":[158],"has":[159],"limits.":[161],"The":[162],"is":[164,206,250],"dependent":[165],"chosen":[168],"reference":[169],"machine":[170],"also":[172,251],"sensitive":[173],"changes":[175],"settings.":[178],"It":[179],"brings":[180],"differences":[183],"among":[184],"agents,":[185],"however,":[186],"since":[187],"they":[188],"are":[189,230],"limited":[190],"size,":[192],"setting":[195],"may":[196],"not":[197],"yet":[198],"sufficiently":[200],"complex.":[201],"A":[202],"demanding":[203],"parameter":[204],"sweep":[205],"needed":[207],"thoroughly":[209],"evaluate":[210],"configurable":[211],"that,":[213],"together":[214],"format,":[218],"further":[219],"highlights":[220],"computational":[221],"requirements":[222],"an":[224],"agent.":[225],"These":[226],"other":[228],"issues":[229],"discussed":[231],"along":[235],"proposals":[237,249],"suggesting":[238],"how":[239],"alleviate":[241],"them.":[242],"implementation":[244],"demonstrated.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2025-10-10T00:00:00"}