{"id":"https://openalex.org/W3028960081","doi":"https://doi.org/10.1145/3334480.3382996","title":"Learning from Gamettes: Imitating Human Behavior in Supply Chain Decisions","display_name":"Learning from Gamettes: Imitating Human Behavior in Supply Chain Decisions","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3028960081","doi":"https://doi.org/10.1145/3334480.3382996","mag":"3028960081"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3382996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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/A5052861741","display_name":"Omid Mohaddesi","orcid":"https://orcid.org/0000-0002-6245-4003"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Omid Mohaddesi","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010246418","display_name":"Tiago Machado","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiago Machado","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054944358","display_name":"Casper Harteveld","orcid":"https://orcid.org/0000-0002-8164-0303"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Casper Harteveld","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052861741"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.359,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64141024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.9891999959945679,"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"}},"topics":[{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.9891999959945679,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9348999857902527,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.932200014591217,"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/computer-science","display_name":"Computer science","score":0.7304078340530396},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.6769276261329651},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.6360763311386108},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.575589656829834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525259971618652},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.5301219820976257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5204668045043945},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4565335214138031},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43169814348220825},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09088486433029175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07380908727645874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304078340530396},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.6769276261329651},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6360763311386108},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.575589656829834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525259971618652},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.5301219820976257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5204668045043945},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4565335214138031},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43169814348220825},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09088486433029175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07380908727645874},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3334480.3382996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W7619917","https://openalex.org/W1428487783","https://openalex.org/W1971857126","https://openalex.org/W1988245217","https://openalex.org/W1991642024","https://openalex.org/W1997380375","https://openalex.org/W1998871699","https://openalex.org/W2013013959","https://openalex.org/W2022725562","https://openalex.org/W2033406830","https://openalex.org/W2138076591","https://openalex.org/W2150312211","https://openalex.org/W2151679348","https://openalex.org/W2177895527","https://openalex.org/W2298329032","https://openalex.org/W2598890425","https://openalex.org/W2913752064","https://openalex.org/W2952032963","https://openalex.org/W2962787969","https://openalex.org/W2982316857","https://openalex.org/W2996591066","https://openalex.org/W3006641788","https://openalex.org/W3031939271"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W1531601525","https://openalex.org/W4285822549","https://openalex.org/W1998629988","https://openalex.org/W2088452394","https://openalex.org/W2070812453","https://openalex.org/W4241981142","https://openalex.org/W2575910592"],"abstract_inverted_index":{"Gamettes":[0],"are":[1],"playful":[2],"tools":[3],"for":[4,14,55],"agent-based":[5,39],"participatory":[6],"simulation":[7],"and":[8,40,48,73,97],"have":[9],"shown":[10],"to":[11,35],"be":[12,33],"valid":[13],"collecting":[15],"rich":[16],"behavioral":[17,41],"data":[18,31,62],"from":[19,63,106],"human":[20,57,100],"decision-makers.":[21],"However,":[22],"there":[23],"is":[24,93],"still":[25],"a":[26,78],"question":[27],"that":[28,90],"how":[29],"such":[30],"can":[32],"used":[34],"create":[36],"or":[37],"update":[38],"models.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"evaluate":[47],"compare":[49,74],"the":[50,75],"performance":[51,76],"of":[52,77,95],"different":[53,107],"methods":[54],"imitating":[56],"behavior.":[58],"We":[59],"use":[60],"extracted":[61],"gamettes":[64],"in":[65],"an":[66],"empirical":[67],"study":[68],"on":[69],"supply":[70],"chain":[71],"decisions,":[72],"nonlinear":[79],"regression":[80],"model":[81],"with":[82],"two":[83],"imitation":[84],"learning":[85],"algorithms.":[86],"Our":[87],"results":[88],"demonstrate":[89],"each":[91],"method":[92],"capable":[94],"modeling":[96],"thus":[98],"predicting":[99],"behavior":[101],"by":[102],"considering":[103],"multiple":[104],"trajectories":[105],"players.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}