{"id":"https://openalex.org/W3111637869","doi":"https://doi.org/10.1109/smc42975.2020.9283260","title":"Agent-Based Modeling to Simulate Real-World Prices: A Strawberry Market Study","display_name":"Agent-Based Modeling to Simulate Real-World Prices: A Strawberry Market Study","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3111637869","doi":"https://doi.org/10.1109/smc42975.2020.9283260","mag":"3111637869"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5024185686","display_name":"F. Fathallahi","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"F. Fathallahi","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086032740","display_name":"K. Ponnambalam","orcid":"https://orcid.org/0000-0002-4107-4829"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K. Ponnambalam","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463583","display_name":"Yu Huang","orcid":"https://orcid.org/0000-0002-2026-5271"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Y. Huang","raw_affiliation_strings":["School of Planning, Faculty of Environment University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"School of Planning, Faculty of Environment University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067077979","display_name":"Fakhri Karray","orcid":"https://orcid.org/0000-0002-4217-1372"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"F. Karray","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024185686"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.21805361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3606","last_page":"3611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/netlogo","display_name":"NetLogo","score":0.929785966873169},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7647244930267334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587696075439453},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.6111247539520264},{"id":"https://openalex.org/keywords/agent-based-model","display_name":"Agent-based model","score":0.4313355088233948},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.39314770698547363},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.33311882615089417},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.19883647561073303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19745761156082153},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1952647864818573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11125975847244263}],"concepts":[{"id":"https://openalex.org/C167221231","wikidata":"https://www.wikidata.org/wiki/Q672307","display_name":"NetLogo","level":2,"score":0.929785966873169},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7647244930267334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587696075439453},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.6111247539520264},{"id":"https://openalex.org/C2780873155","wikidata":"https://www.wikidata.org/wiki/Q392811","display_name":"Agent-based model","level":2,"score":0.4313355088233948},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.39314770698547363},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33311882615089417},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.19883647561073303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19745761156082153},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1952647864818573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11125975847244263},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":25,"referenced_works":["https://openalex.org/W1697853073","https://openalex.org/W1972840916","https://openalex.org/W1992175204","https://openalex.org/W2007973245","https://openalex.org/W2008503471","https://openalex.org/W2050032417","https://openalex.org/W2056904996","https://openalex.org/W2078806276","https://openalex.org/W2087054423","https://openalex.org/W2128264088","https://openalex.org/W2136703065","https://openalex.org/W2144014493","https://openalex.org/W2150704630","https://openalex.org/W2325033552","https://openalex.org/W2550946479","https://openalex.org/W2794602918","https://openalex.org/W2803999360","https://openalex.org/W2885106117","https://openalex.org/W2892260033","https://openalex.org/W2908695030","https://openalex.org/W3121311682","https://openalex.org/W3124350274","https://openalex.org/W4205945437","https://openalex.org/W6680245623","https://openalex.org/W6753606179"],"related_works":["https://openalex.org/W3198924581","https://openalex.org/W4289703347","https://openalex.org/W4229065693","https://openalex.org/W2206197253","https://openalex.org/W4387677876","https://openalex.org/W2268670886","https://openalex.org/W2939355759","https://openalex.org/W2353341396","https://openalex.org/W1545837089","https://openalex.org/W2530750630"],"abstract_inverted_index":{"Agent-based":[0],"modeling":[1],"has":[2],"been":[3],"proposed":[4],"to":[5,41,60,70,134],"simulate":[6],"real":[7],"world":[8],"situations":[9],"where":[10],"autonomous":[11],"agents":[12],"take":[13],"their":[14],"own":[15],"decisions":[16],"based":[17,75],"on":[18,76],"simple":[19],"rules":[20],"and":[21,45,82,105],"data":[22],"from":[23],"the":[24,46,67,72,77,88,94,108,117,129,136,139,149],"environment.":[25],"The":[26,54],"strawberry":[27,73,92],"market":[28,63],"in":[29,43,98],"California":[30,99],"is":[31,58,64,100],"a":[32],"challenging":[33],"example":[34],"as":[35,102],"prices":[36],"can":[37],"vary":[38],"suddenly":[39],"due":[40],"change":[42],"supplies":[44],"fruits":[47],"cannot":[48],"be":[49],"stored":[50],"for":[51,93,106,144,147],"long":[52],"durations.":[53],"microeconomic":[55],"theory":[56],"that":[57],"expected":[59],"model":[61,69,119,141],"this":[62,86],"implemented":[65],"within":[66],"simulation":[68],"predict":[71],"price":[74],"difference":[78],"between":[79],"total":[80,83,103],"supply":[81],"demand.":[84],"In":[85],"study,":[87],"observed":[89],"yield":[90],"of":[91,138],"two":[95,121],"main":[96],"suppliers":[97],"considered":[101],"supply;":[104],"predicting":[107],"demand,":[109],"different":[110],"demand":[111],"functions":[112],"are":[113,124,132],"presented.":[114],"To":[115],"estimate":[116],"ABM":[118],"parameters,":[120],"optimization":[122],"methods":[123],"applied":[125],"with":[126,142],"Python-Netlogo.":[127],"Finally,":[128],"computational":[130],"results":[131],"presented":[133],"show":[135],"performance":[137],"prediction":[140],"directions":[143],"future":[145],"research":[146],"improving":[148],"results.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}