{"id":"https://openalex.org/W2056747435","doi":"https://doi.org/10.7148/2013-0895","title":"How Many Parameters To Model States Of Mind?","display_name":"How Many Parameters To Model States Of Mind?","publication_year":2013,"publication_date":"2013-05-27","ids":{"openalex":"https://openalex.org/W2056747435","doi":"https://doi.org/10.7148/2013-0895","mag":"2056747435"},"language":"en","primary_location":{"id":"doi:10.7148/2013-0895","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2013-0895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2013 Proceedings edited by: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1306.2487","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Krysztof Kulakowski","orcid":null},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krysztof Kulakowski","raw_affiliation_strings":["AGH University of Science and Technology ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology ,","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087038174","display_name":"Piotr Gronek","orcid":"https://orcid.org/0000-0001-7111-8039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piotr Gronek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048577023","display_name":"A. Dydejczyk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antoni Dydejczyk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10426849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"895","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.9514176845550537},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7065514326095581},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6391113996505737},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5411021709442139},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.5249797701835632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5167211890220642},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.510270357131958},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34927260875701904},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.2954079508781433},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24100807309150696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2392960488796234},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10303595662117004},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09199532866477966},{"id":"https://openalex.org/keywords/keynesian-economics","display_name":"Keynesian economics","score":0.06908568739891052}],"concepts":[{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.9514176845550537},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7065514326095581},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6391113996505737},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5411021709442139},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.5249797701835632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167211890220642},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.510270357131958},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34927260875701904},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2954079508781433},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24100807309150696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2392960488796234},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10303595662117004},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09199532866477966},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.06908568739891052},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":4,"locations":[{"id":"doi:10.7148/2013-0895","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2013-0895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2013 Proceedings edited by: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1306.2487","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1306.2487","pdf_url":"https://arxiv.org/pdf/1306.2487","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":"","raw_type":"text"},{"id":"mag:2056747435","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1306.2487","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1306.2487","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1306.2487","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1306.2487","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1306.2487","pdf_url":"https://arxiv.org/pdf/1306.2487","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2056747435.pdf","grobid_xml":"https://content.openalex.org/works/W2056747435.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W121787620","https://openalex.org/W1513019119","https://openalex.org/W1567509263","https://openalex.org/W1574928699","https://openalex.org/W1888172398","https://openalex.org/W1966114254","https://openalex.org/W1984863698","https://openalex.org/W2015538189","https://openalex.org/W2055646434","https://openalex.org/W2083689991","https://openalex.org/W2087849774","https://openalex.org/W2110019901","https://openalex.org/W2125428868","https://openalex.org/W2157979842","https://openalex.org/W2168804549","https://openalex.org/W2400794631","https://openalex.org/W2963046600","https://openalex.org/W3101413764","https://openalex.org/W3102898257"],"related_works":["https://openalex.org/W2115655815","https://openalex.org/W2083786578","https://openalex.org/W2797151025","https://openalex.org/W3121922819","https://openalex.org/W1580867527","https://openalex.org/W2113726144","https://openalex.org/W2319168200","https://openalex.org/W74225879","https://openalex.org/W2900449315","https://openalex.org/W1590559368","https://openalex.org/W2755626684","https://openalex.org/W22119157","https://openalex.org/W3154915255","https://openalex.org/W3207298831","https://openalex.org/W2010816667","https://openalex.org/W2769980938","https://openalex.org/W2012240637","https://openalex.org/W2000230168","https://openalex.org/W2076448361","https://openalex.org/W1531749780"],"abstract_inverted_index":{"A":[0],"series":[1],"of":[2,4,20,23,45,69,95,99],"examples":[3],"computational":[5,109],"models":[6,112],"is":[7,13,38,53,92],"provided,":[8],"where":[9],"the":[10,35,41,60,67,70,89,96],"model":[11],"aim":[12],"to":[14,39,54],"interpret":[15],"numerical":[16],"results":[17,61,68],"in":[18,34,62],"terms":[19],"internal":[21],"states":[22],"agents":[24],"minds.":[25],"Two":[26],"opposite":[27],"strategies":[28],"or":[29],"research":[30],"can":[31],"be":[32],"distinguished":[33],"literature.":[36],"First":[37],"reproduce":[40],"richness":[42],"and":[43,58],"complexity":[44],"real":[46],"world":[47],"as":[48,50],"faithfully":[49],"possible,":[51],"second":[52],"apply":[55],"simple":[56],"assumptions":[57,101],"check":[59],"depth.":[63],"As":[64],"a":[65],"rule,":[66],"latter":[71],"method":[72,91],"agree":[73],"only":[74],"qualitatively":[75],"with":[76,113],"some":[77],"stylized":[78],"facts.":[79],"The":[80],"price":[81],"we":[82,105],"pay":[83],"for":[84,108],"more":[85],"detailed":[86],"predictions":[87],"within":[88],"former":[90],"that":[93,107],"consequences":[94],"rich":[97],"set":[98],"underlying":[100],"remain":[102],"unchecked.":[103],"Here":[104],"argue":[106],"reasons,":[110],"complex":[111],"many":[114],"parameters":[115],"are":[116],"less":[117],"suitable.":[118]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}