{"id":"https://openalex.org/W3103398580","doi":"https://doi.org/10.7551/ecal_a_015","title":"Action and perception for spatiotemporal patterns","display_name":"Action and perception for spatiotemporal patterns","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W3103398580","doi":"https://doi.org/10.7551/ecal_a_015","mag":"3103398580"},"language":"en","primary_location":{"id":"doi:10.7551/ecal_a_015","is_oa":true,"landing_page_url":"https://doi.org/10.7551/ecal_a_015","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_015","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th European Conference on Artificial Life ECAL 2017","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068164344","display_name":"Martin Biehl","orcid":"https://orcid.org/0000-0002-1670-6855"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Martin Biehl","raw_affiliation_strings":["University of Hertfordshire, Hatfield, AL10 9AB"],"affiliations":[{"raw_affiliation_string":"University of Hertfordshire, Hatfield, AL10 9AB","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070558949","display_name":"Daniel Polani","orcid":"https://orcid.org/0000-0002-3233-5847"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Polani","raw_affiliation_strings":["University of Hertfordshire, Hatfield, AL10 9AB"],"affiliations":[{"raw_affiliation_string":"University of Hertfordshire, Hatfield, AL10 9AB","institution_ids":["https://openalex.org/I141584323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068164344"],"corresponding_institution_ids":["https://openalex.org/I141584323"],"apc_list":null,"apc_paid":null,"fwci":2.9826,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9343948,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9664999842643738,"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"}},"topics":[{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9664999842643738,"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/T13362","display_name":"Slime Mold and Myxomycetes Research","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9257000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.8220909833908081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568190455436707},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5670885443687439},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5371087193489075},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4918813705444336},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.47853097319602966},{"id":"https://openalex.org/keywords/examples-of-markov-chains","display_name":"Examples of Markov chains","score":0.4620605707168579},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.45133501291275024},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4295784831047058},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4023487865924835},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.34213846921920776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34005552530288696},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.29078179597854614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2222413420677185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2154858112335205},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11215612292289734},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07628941535949707},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07527637481689453}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8220909833908081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568190455436707},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5670885443687439},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5371087193489075},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4918813705444336},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.47853097319602966},{"id":"https://openalex.org/C76408418","wikidata":"https://www.wikidata.org/wiki/Q5419314","display_name":"Examples of Markov chains","level":5,"score":0.4620605707168579},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.45133501291275024},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4295784831047058},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4023487865924835},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.34213846921920776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34005552530288696},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.29078179597854614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2222413420677185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2154858112335205},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11215612292289734},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07628941535949707},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07527637481689453},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7551/ecal_a_015","is_oa":true,"landing_page_url":"https://doi.org/10.7551/ecal_a_015","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_015","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th European Conference on Artificial Life ECAL 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.03576","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.03576","pdf_url":"https://arxiv.org/pdf/1706.03576","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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.7551/ecal_a_015","is_oa":true,"landing_page_url":"https://doi.org/10.7551/ecal_a_015","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/isal_a_015","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th European Conference on Artificial Life ECAL 2017","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3103398580.pdf","grobid_xml":"https://content.openalex.org/works/W3103398580.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W126525084","https://openalex.org/W1591713425","https://openalex.org/W1931146454","https://openalex.org/W2014805262","https://openalex.org/W2054162326","https://openalex.org/W2071739800","https://openalex.org/W2097585998","https://openalex.org/W2151525702","https://openalex.org/W2479543434","https://openalex.org/W2546408443","https://openalex.org/W2558813495","https://openalex.org/W2602272037","https://openalex.org/W2614207952","https://openalex.org/W3099329607","https://openalex.org/W3100253591","https://openalex.org/W3105114223","https://openalex.org/W3123540868","https://openalex.org/W4251328733","https://openalex.org/W4394660719"],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W23237351","https://openalex.org/W3023326395","https://openalex.org/W2987631717","https://openalex.org/W50519898","https://openalex.org/W190459708","https://openalex.org/W1541249122","https://openalex.org/W2077211377","https://openalex.org/W2075517632","https://openalex.org/W2989366387"],"abstract_inverted_index":{"This":[0,44],"is":[1,120],"a":[2,29,34,55,74,79,121],"contribution":[3],"to":[4,46,103,134,141],"the":[5,8,37,42,48,89,92,97,112,142,148],"formalization":[6],"of":[7,10,50,61,78,81,131,138,145],"concept":[9,144],"agents":[11],"in":[12,147],"multivariate":[13,30,66,122],"Markov":[14,31,67,93,123],"chains.":[15],"Agents":[16],"are":[17,26,85],"commonly":[18],"defined":[19],"as":[20,87],"entities":[21,52,90],"that":[22,84,128,137],"act,":[23],"perceive,":[24],"and":[25,63,119,136],"goal-directed.":[27],"In":[28],"chain":[32],"(e.g.":[33],"cellular":[35],"automaton)":[36],"transition":[38],"matrix":[39],"completely":[40],"determines":[41],"dynamics.":[43],"seems":[45],"contradict":[47],"possibility":[49],"acting":[51],"within":[53,65,91],"such":[54],"system.":[56],"Here":[57],"we":[58],"present":[59],"definitions":[60],"actions":[62,132],"perceptions":[64,139],"chains":[68],"based":[69],"on":[70],"entity-sets.":[71],"Entity-sets":[72],"represent":[73],"largely":[75],"independent":[76],"choice":[77],"set":[80],"spatiotemporal":[82],"patterns":[83],"considered":[86],"all":[88],"chain.":[94,124],"For":[95],"example,":[96],"entity-set":[98,118],"can":[99],"be":[100],"chosen":[101],"according":[102],"operational":[104],"closure":[105],"conditions":[106],"or":[107],"complete":[108],"specific":[109],"integration.":[110],"Importantly,":[111],"perception-action":[113,149],"loop":[114],"also":[115],"induces":[116],"an":[117],"We":[125],"then":[126],"show":[127],"our":[129],"definition":[130],"leads":[133],"non-heteronomy":[135],"specialize":[140],"usual":[143],"perception":[146],"loop.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}