{"id":"https://openalex.org/W4200123452","doi":"https://doi.org/10.1017/s089006042100024x","title":"Evaluating the learning and performance characteristics of self-organizing systems with different task features","display_name":"Evaluating the learning and performance characteristics of self-organizing systems with different task features","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200123452","doi":"https://doi.org/10.1017/s089006042100024x"},"language":"en","primary_location":{"id":"doi:10.1017/s089006042100024x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s089006042100024x","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-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/A5101969395","display_name":"Hao Ji","orcid":"https://orcid.org/0000-0002-5481-5788"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Ji","raw_affiliation_strings":["Department of Aerospace and Mechanical Engineering, University of Southern California, 3650 McClintock Avenue, OHE 400, Los Angeles, CA 90089-1453, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace and Mechanical Engineering, University of Southern California, 3650 McClintock Avenue, OHE 400, Los Angeles, CA 90089-1453, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023969203","display_name":"Yan Jin","orcid":"https://orcid.org/0000-0002-6502-5837"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Jin","raw_affiliation_strings":["Department of Aerospace and Mechanical Engineering, University of Southern California, 3650 McClintock Avenue, OHE 400, Los Angeles, CA 90089-1453, USA"],"raw_orcid":"https://orcid.org/0000-0002-6502-5837","affiliations":[{"raw_affiliation_string":"Department of Aerospace and Mechanical Engineering, University of Southern California, 3650 McClintock Avenue, OHE 400, Los Angeles, CA 90089-1453, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023969203"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.5514,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62932998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"4","first_page":"404","last_page":"422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9914000034332275,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7943819761276245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305694818496704},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6963534951210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6416506767272949},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6394614577293396},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6085492968559265},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5948371887207031},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48274654150009155},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.482211709022522},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46318602561950684},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16202297806739807}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7943819761276245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305694818496704},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6963534951210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416506767272949},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6394614577293396},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6085492968559265},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5948371887207031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48274654150009155},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.482211709022522},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46318602561950684},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16202297806739807},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s089006042100024x","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s089006042100024x","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W59949526","https://openalex.org/W276122396","https://openalex.org/W1424654272","https://openalex.org/W1569529949","https://openalex.org/W1641379095","https://openalex.org/W1966420357","https://openalex.org/W1987864653","https://openalex.org/W1995348059","https://openalex.org/W1995647457","https://openalex.org/W2004443314","https://openalex.org/W2020477154","https://openalex.org/W2064675550","https://openalex.org/W2069828723","https://openalex.org/W2075869636","https://openalex.org/W2076791587","https://openalex.org/W2096862807","https://openalex.org/W2099618002","https://openalex.org/W2106392320","https://openalex.org/W2127826644","https://openalex.org/W2129755925","https://openalex.org/W2145339207","https://openalex.org/W2147033906","https://openalex.org/W2167266355","https://openalex.org/W2221844548","https://openalex.org/W2226035141","https://openalex.org/W2252206721","https://openalex.org/W2346245116","https://openalex.org/W2560478001","https://openalex.org/W2582595064","https://openalex.org/W2617547828","https://openalex.org/W2794349751","https://openalex.org/W2804735893","https://openalex.org/W2890495115","https://openalex.org/W2898653377","https://openalex.org/W2910593956","https://openalex.org/W2963658727","https://openalex.org/W2990559574","https://openalex.org/W3145117791","https://openalex.org/W4234406933","https://openalex.org/W4253572110","https://openalex.org/W6602447005","https://openalex.org/W6604896550","https://openalex.org/W6667726732","https://openalex.org/W6835070974"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2016108640","https://openalex.org/W2247996358"],"abstract_inverted_index":{"Abstract":[0],"Self-organizing":[1],"systems":[2],"(SOS)":[3],"are":[4],"developed":[5],"to":[6,47,62,65,85,109,138,167,195],"perform":[7],"complex":[8],"tasks":[9,25],"in":[10,24,125],"unforeseen":[11],"situations":[12],"with":[13,26,94,186],"adaptability.":[14],"Predefining":[15],"rules":[16],"for":[17],"self-organizing":[18,70],"agents":[19,64],"can":[20,183],"be":[21,184],"challenging,":[22],"especially":[23],"high":[27],"complexity":[28],"and":[29,69,88,115,130,148,179],"changing":[30],"environments.":[31],"Our":[32],"previous":[33],"work":[34],"has":[35,199],"introduced":[36,104],"a":[37,44,105],"multiagent":[38,57,95],"reinforcement":[39],"learning":[40,142,174,177],"(RL)":[41],"model":[42],"as":[43],"design":[45],"approach":[46],"solving":[48],"the":[49,67,73,140,155,169],"rule":[50],"generation":[51],"problem":[52],"of":[53,83,91,119,145,157,164,172,181,190],"SOS.":[54],"A":[55],"deep":[56],"RL":[58,96],"algorithm":[59],"was":[60,75],"devised":[61],"train":[63],"acquire":[66],"task":[68,80],"knowledge.":[71],"However,":[72],"simulation":[74],"based":[76],"on":[77,122,154],"one":[78],"specific":[79],"environment.":[81],"Sensitivity":[82],"SOS":[84,92,123],"reward":[86,107,121,166],"functions":[87],"systematic":[89],"evaluation":[90],"designed":[93],"remain":[97],"an":[98,187],"issue.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103,134],"rotation":[106,165],"function":[108],"regulate":[110],"agent":[111],"behaviors":[112],"during":[113],"training":[114],"tested":[116],"different":[117],"weights":[118,163],"such":[120],"performance":[124,201],"two":[126],"case":[127],"studies:":[128],"box-pushing":[129],"T-shape":[131],"assembly.":[132],"Additionally,":[133],"proposed":[135],"three":[136],"metrics":[137],"evaluate":[139],"SOS:":[141],"stability,":[143],"quality":[144,180],"learned":[146],"knowledge,":[147],"scalability.":[149],"Results":[150],"show":[151],"that":[152],"depending":[153],"type":[156],"tasks;":[158],"designers":[159],"may":[160],"choose":[161],"appropriate":[162],"obtain":[168],"full":[170],"potential":[171],"agents\u2019":[173],"capability.":[175],"Good":[176],"stability":[178],"knowledge":[182],"achieved":[185],"optimal":[188],"range":[189],"team":[191,197],"sizes.":[192],"Scaling":[193],"up":[194],"larger":[196],"sizes":[198],"better":[200],"than":[202],"scaling":[203],"downwards.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
