{"id":"https://openalex.org/W3120346205","doi":"https://doi.org/10.1109/access.2021.3050882","title":"Using Compression to Discover Interesting Behaviours in a Hybrid Braitenberg Vehicle","display_name":"Using Compression to Discover Interesting Behaviours in a Hybrid Braitenberg Vehicle","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3120346205","doi":"https://doi.org/10.1109/access.2021.3050882","mag":"3120346205"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3050882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3050882","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319645.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319645.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041588989","display_name":"Nadim Ahmed","orcid":"https://orcid.org/0000-0001-9706-0197"},"institutions":[{"id":"https://openalex.org/I161548249","display_name":"Bangor University","ror":"https://ror.org/006jb1a24","country_code":"GB","type":"education","lineage":["https://openalex.org/I161548249"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nadim Ahmed","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, Bangor University, Bangor, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9706-0197","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, Bangor University, Bangor, U.K","institution_ids":["https://openalex.org/I161548249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025875274","display_name":"William J. Teahan","orcid":"https://orcid.org/0000-0003-3640-6750"},"institutions":[{"id":"https://openalex.org/I161548249","display_name":"Bangor University","ror":"https://ror.org/006jb1a24","country_code":"GB","type":"education","lineage":["https://openalex.org/I161548249"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William J. Teahan","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, Bangor University, Bangor, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3640-6750","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, Bangor University, Bangor, U.K","institution_ids":["https://openalex.org/I161548249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041588989"],"corresponding_institution_ids":["https://openalex.org/I161548249"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.194,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45586598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"11316","last_page":"11327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.775394082069397},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6013409495353699},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5480773448944092},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5137449502944946},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48654499650001526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627767503261566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775394082069397},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6013409495353699},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5480773448944092},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5137449502944946},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48654499650001526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627767503261566},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3050882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3050882","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319645.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6ac0b45fbc5a4077a0b1e1cb2c57baa8","is_oa":true,"landing_page_url":"https://doaj.org/article/6ac0b45fbc5a4077a0b1e1cb2c57baa8","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 11316-11327 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3050882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3050882","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09319645.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.75,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120346205.pdf","grobid_xml":"https://content.openalex.org/works/W3120346205.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W35834047","https://openalex.org/W1482947825","https://openalex.org/W1680245855","https://openalex.org/W1966089223","https://openalex.org/W1970403759","https://openalex.org/W1977556410","https://openalex.org/W1987971958","https://openalex.org/W1996160590","https://openalex.org/W2052474702","https://openalex.org/W2063282235","https://openalex.org/W2076608847","https://openalex.org/W2097856935","https://openalex.org/W2110386667","https://openalex.org/W2114134542","https://openalex.org/W2135771747","https://openalex.org/W2137171066","https://openalex.org/W2339009915","https://openalex.org/W2507626968","https://openalex.org/W2893943753","https://openalex.org/W2901722534","https://openalex.org/W2974888559","https://openalex.org/W3006393221","https://openalex.org/W4231081240","https://openalex.org/W4231327205","https://openalex.org/W4299830491","https://openalex.org/W6601439495","https://openalex.org/W6628744441","https://openalex.org/W6767991363","https://openalex.org/W6773782919"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"The":[0,23,70,141,178],"simple":[1,126,162],"rules":[2],"that":[3,20,160],"govern":[4],"the":[5,8,86,91,99,189,199],"interactions":[6],"between":[7],"different":[9,43,63],"components":[10],"of":[11,33,98,119,128,191,202,207],"a":[12,31,34,47,57,76,81,95,116,125,134,137,203],"complex":[13,192],"system":[14],"often":[15],"lead":[16],"to":[17,74,196,211],"interesting":[18,109,152,213],"behaviours":[19,67,111,153,159,166,174],"are":[21],"unexpected.":[22],"experiments":[24],"described":[25],"in":[26,62,85,182,188,209],"this":[27,183],"paper":[28,184],"involved":[29],"creating":[30,154],"variation":[32],"traditional":[35],"Braitenberg":[36],"Vehicle,":[37],"by":[38,101],"placing":[39],"sensors":[40,132],"on":[41,46,90,133],"ten":[42],"possible":[44],"locations":[45],"simulated":[48,77],"vehicle,":[49],"and":[50,65,106,130,136,149,170,173,194],"incorporating":[51],"an":[52],"obstacle":[53],"avoidance":[54],"behaviour":[55],"using":[56,94],"subsumption-like":[58],"architecture,":[59],"which":[60,79],"resulted":[61],"unusual":[64],"unexpected":[66],"being":[68],"produced.":[69],"vehicle":[71,135],"was":[72],"allowed":[73],"explore":[75],"environment":[78],"contained":[80],"single":[82,138],"bright":[83],"light":[84,129,139],"centre":[87],"with":[88,167,175],"walls":[89],"border.":[92],"By":[93],"novel":[96,179],"combination":[97],"Prediction":[100],"Partial":[102],"Matching":[103],"compression":[104],"algorithm":[105,143,180],"k-means":[107],"clustering,":[108],"emergent":[110],"were":[112],"effectively":[113],"discovered":[114,144],"within":[115],"search":[117,205],"space":[118,206],"over":[120],"10,000":[121],"simulations":[122,208],"produced":[123],"from":[124],"interaction":[127],"proximity":[131],"source.":[140],"clustering":[142],"five":[145],"distinct":[146],"behaviours:":[147],"circling":[148],"spiralling":[150],"behaviours;":[151],"intricate":[155],"rose":[156,163],"petal-like":[157,164],"structures;":[158,165],"create":[161],"large":[168],"movements":[169],"low":[171],"complexity;":[172],"less":[176],"movement.":[177],"demonstrated":[181],"has":[185],"useful":[186],"potential":[187],"science":[190],"systems":[193],"modelling":[195],"help":[197],"expedite":[198],"systematic":[200],"exploration":[201],"substantial":[204],"order":[210],"discover":[212],"behaviours.":[214]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
