{"id":"https://openalex.org/W2100831473","doi":"https://doi.org/10.1109/cig.2008.5035635","title":"Scaling-up behaviours in EvoTanks: Applying subsumption principles to artificial neural networks","display_name":"Scaling-up behaviours in EvoTanks: Applying subsumption principles to artificial neural networks","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2100831473","doi":"https://doi.org/10.1109/cig.2008.5035635","mag":"2100831473"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2008.5035635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011174189","display_name":"Thomas Thompson","orcid":"https://orcid.org/0000-0002-1836-8255"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Thomas Thompson","raw_affiliation_strings":["Strathclyde Planning Group, University of Strathclyde, Glasgow, UK","Strathclyde Planning Group, Univ. of Strathclyde, Glasgow"],"affiliations":[{"raw_affiliation_string":"Strathclyde Planning Group, University of Strathclyde, Glasgow, UK","institution_ids":["https://openalex.org/I181647926"]},{"raw_affiliation_string":"Strathclyde Planning Group, Univ. of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103127703","display_name":"John Levine","orcid":"https://orcid.org/0000-0001-7016-2978"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Levine","raw_affiliation_strings":["Strathclyde Planning Group, University of Strathclyde, Glasgow, UK","Strathclyde Planning Group, Univ. of Strathclyde, Glasgow"],"affiliations":[{"raw_affiliation_string":"Strathclyde Planning Group, University of Strathclyde, Glasgow, UK","institution_ids":["https://openalex.org/I181647926"]},{"raw_affiliation_string":"Strathclyde Planning Group, Univ. of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011174189"],"corresponding_institution_ids":["https://openalex.org/I181647926"],"apc_list":null,"apc_paid":null,"fwci":2.8602,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9141145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.996399998664856,"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":0.996399998664856,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.991100013256073,"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/T11883","display_name":"Embodied and Extended Cognition","score":0.9706000089645386,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7594455480575562},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.7414716482162476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901097297668457},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6540862321853638},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"Neuroevolution","score":0.5950387716293335},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5766299962997437},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5547894239425659},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5526771545410156},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.499309778213501},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4143086373806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37260931730270386},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3338289260864258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0779937207698822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594455480575562},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.7414716482162476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901097297668457},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6540862321853638},{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.5950387716293335},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5766299962997437},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5547894239425659},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5526771545410156},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.499309778213501},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4143086373806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37260931730270386},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3338289260864258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0779937207698822},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2008.5035635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1914583973","https://openalex.org/W1966089223","https://openalex.org/W2004705597","https://openalex.org/W2057040598","https://openalex.org/W2071311198","https://openalex.org/W2097571405","https://openalex.org/W2097856935","https://openalex.org/W2105227386","https://openalex.org/W2117564498","https://openalex.org/W2120321549","https://openalex.org/W2138687823","https://openalex.org/W2276048098","https://openalex.org/W2277396055","https://openalex.org/W2397253692","https://openalex.org/W2984808340","https://openalex.org/W4210424113","https://openalex.org/W6675998398","https://openalex.org/W6694577482"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298"],"abstract_inverted_index":{"Applying":[0],"evolution":[1],"to":[2,76,124],"generate":[3,50,95],"simple":[4],"agent":[5],"behaviours":[6],"has":[7],"become":[8],"a":[9,37,58,80],"successful":[10],"and":[11,26,97],"heavily":[12],"used":[13],"practice.":[14],"However":[15],"the":[16,44,77,125,129],"notion":[17],"of":[18,39,105,110],"scaling":[19],"up":[20],"behaviour":[21],"into":[22,115],"something":[23],"more":[24],"noteworthy":[25],"complex":[27],"is":[28],"far":[29],"from":[30],"elementary.":[31],"In":[32],"this":[33,70],"paper":[34],"we":[35,49,72,93],"propose":[36],"method":[38],"combining":[40],"neuroevolution":[41],"practices":[42],"with":[43,103],"subsumption":[45,130],"paradigm;":[46],"in":[47,57],"which":[48],"Artificial":[51],"Neural":[52],"Network":[53],"(ANN)":[54],"layers":[55,90],"ordered":[56],"hierarchy":[59],"such":[60,119],"that":[61,88,100],"high-level":[62],"controllers":[63,75],"can":[64,94,101],"override":[65],"lower":[66],"behaviours.":[67],"To":[68],"explore":[69],"proposal":[71],"apply":[73],"our":[74],"dasiaEvoTankspsila":[78],"domain;":[79],"small,":[81],"dynamic,":[82],"adversarial":[83],"environment.":[84],"Our":[85],"results":[86,99,111],"show":[87],"once":[89],"are":[91],"evolved":[92],"competent":[96],"capable":[98],"deal":[102],"hierarchies":[104],"multiple":[106],"layers.":[107],"Further":[108],"analysis":[109],"provides":[112],"interesting":[113],"insights":[114],"design":[116],"decisions":[117],"for":[118,128],"controllers,":[120],"particularly":[121],"when":[122],"compared":[123],"original":[126],"suggestions":[127],"paradigm.":[131]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
