{"id":"https://openalex.org/W1999623730","doi":"https://doi.org/10.1109/acc.2013.6580287","title":"Pursuit, herding and evasion: A three-agent model of caribou predation","display_name":"Pursuit, herding and evasion: A three-agent model of caribou predation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1999623730","doi":"https://doi.org/10.1109/acc.2013.6580287","mag":"1999623730"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2013.6580287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2013.6580287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 American Control Conference","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/A5055732582","display_name":"William L. Scott","orcid":"https://orcid.org/0000-0002-0035-0671"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"William Scott","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA","Dept. of Mech. & Aerosp. Eng., Princeton Univ., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Mech. & Aerosp. Eng., Princeton Univ., Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032304399","display_name":"Naomi Ehrich Leonard","orcid":"https://orcid.org/0000-0002-5328-3871"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naomi Ehrich Leonard","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA","Dept. of Mech. & Aerosp. Eng., Princeton Univ., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Mech. & Aerosp. Eng., Princeton Univ., Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055732582"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":12.13,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.9815356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2978","last_page":"2983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12158","display_name":"Guidance and Control Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.967199981212616,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pursuer","display_name":"Pursuer","score":0.9691464900970459},{"id":"https://openalex.org/keywords/herding","display_name":"Herding","score":0.9295752048492432},{"id":"https://openalex.org/keywords/pursuit-evasion","display_name":"Pursuit-evasion","score":0.8006500005722046},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.6263515949249268},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5359431505203247},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.5265921950340271},{"id":"https://openalex.org/keywords/predation","display_name":"Predation","score":0.5201694965362549},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5054388046264648},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45982837677001953},{"id":"https://openalex.org/keywords/equilibrium-point","display_name":"Equilibrium point","score":0.45411375164985657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4489167332649231},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.43013450503349304},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.411643385887146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40418243408203125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34848880767822266},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3184787631034851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27086466550827026},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.21431073546409607},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2063097357749939},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1223902702331543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09237200021743774},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09169605374336243}],"concepts":[{"id":"https://openalex.org/C2776927521","wikidata":"https://www.wikidata.org/wiki/Q468489","display_name":"Pursuer","level":2,"score":0.9691464900970459},{"id":"https://openalex.org/C177605951","wikidata":"https://www.wikidata.org/wiki/Q1484503","display_name":"Herding","level":2,"score":0.9295752048492432},{"id":"https://openalex.org/C2778388243","wikidata":"https://www.wikidata.org/wiki/Q7261573","display_name":"Pursuit-evasion","level":2,"score":0.8006500005722046},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.6263515949249268},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5359431505203247},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.5265921950340271},{"id":"https://openalex.org/C188382862","wikidata":"https://www.wikidata.org/wiki/Q170430","display_name":"Predation","level":2,"score":0.5201694965362549},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5054388046264648},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45982837677001953},{"id":"https://openalex.org/C94766913","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium point","level":3,"score":0.45411375164985657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4489167332649231},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.43013450503349304},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.411643385887146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40418243408203125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34848880767822266},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3184787631034851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27086466550827026},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.21431073546409607},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2063097357749939},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1223902702331543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09237200021743774},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09169605374336243},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.0},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.0},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2013.6580287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2013.6580287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1562057654","https://openalex.org/W1581842928","https://openalex.org/W1965459501","https://openalex.org/W2023775503","https://openalex.org/W2030910200","https://openalex.org/W2038950475","https://openalex.org/W2047957002","https://openalex.org/W2058737528","https://openalex.org/W2092567379","https://openalex.org/W2125787015","https://openalex.org/W2128426080","https://openalex.org/W2130467781","https://openalex.org/W2162909213","https://openalex.org/W2163867852","https://openalex.org/W2164877100","https://openalex.org/W2178081418","https://openalex.org/W2298687035","https://openalex.org/W3104231799","https://openalex.org/W6697473469"],"related_works":["https://openalex.org/W2091926052","https://openalex.org/W2057376130","https://openalex.org/W4253161990","https://openalex.org/W2184611791","https://openalex.org/W2039546613","https://openalex.org/W2522390654","https://openalex.org/W2024680012","https://openalex.org/W114019308","https://openalex.org/W4391020716","https://openalex.org/W2546733891"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"problems":[2],"of":[3,15,67,80,112],"pursuit":[4],"and":[5,18,39,47,58,93,118],"evasion":[6,19,57],"in":[7,100,121],"coordinated":[8],"multi-agent":[9],"systems,":[10],"we":[11],"present":[12],"a":[13,23,27,30,44,52,77,122],"model":[14,61],"pursuit,":[16],"herding":[17],"for":[20,97,115],"three":[21],"agents:":[22],"single":[24],"pursuer,":[25],"e.g.":[26,43],"bear,":[28],"chooses":[29],"target":[31],"point":[32],"along":[33],"the":[34,40,73,101,116,119],"line":[35],"connecting":[36],"two":[37,41],"evaders,":[38,42],"mother":[45],"caribou":[46,120],"her":[48],"calf,":[49],"each":[50],"choose":[51],"strategy":[53],"that":[54,109],"trades":[55],"off":[56],"herding.":[59],"The":[60],"is":[62],"based":[63],"on":[64,72],"feedback":[65],"control":[66],"constant":[68],"speed":[69],"steered":[70],"particles":[71],"plane.":[74],"Dynamics":[75],"over":[76],"reduced":[78],"set":[79],"shape":[81,86],"variables":[82],"are":[83,88,106],"defined.":[84],"Parallel-motion":[85],"equilibria":[87],"studied,":[89],"with":[90],"stability":[91],"analysis":[92],"analytic":[94],"solutions":[95],"provided":[96],"special":[98],"cases":[99],"parameter":[102],"space.":[103],"Simulation":[104],"results":[105],"also":[107],"presented":[108],"suggest":[110],"existence":[111],"optimal":[113],"strategies":[114],"bear":[117],"game":[123],"theoretic":[124],"sense.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}