{"id":"https://openalex.org/W2074196581","doi":"https://doi.org/10.1145/1160633.1160818","title":"On the relationship between MDPs and the BDI architecture","display_name":"On the relationship between MDPs and the BDI architecture","publication_year":2006,"publication_date":"2006-05-08","ids":{"openalex":"https://openalex.org/W2074196581","doi":"https://doi.org/10.1145/1160633.1160818","mag":"2074196581"},"language":"en","primary_location":{"id":"doi:10.1145/1160633.1160818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1160633.1160818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth international joint conference on Autonomous agents and multiagent 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/A5079109547","display_name":"Gerardo I. Simari","orcid":"https://orcid.org/0000-0003-3185-4992"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gerardo I. Simari","raw_affiliation_strings":["University of Maryland College Park, College Park, MD","[University of Maryland, College Park, College Park, MD]"],"affiliations":[{"raw_affiliation_string":"University of Maryland College Park, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[University of Maryland, College Park, College Park, MD]","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042580769","display_name":"Simon Parsons","orcid":"https://orcid.org/0000-0002-8425-9065"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Parsons","raw_affiliation_strings":["City University of New York, Brooklyn, NY"],"affiliations":[{"raw_affiliation_string":"City University of New York, Brooklyn, NY","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079109547"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":7.0317,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.96715788,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1041","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9983000159263611,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9824000000953674,"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/T10142","display_name":"Formal Methods in Verification","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7988690137863159},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.7464390993118286},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.7414618134498596},{"id":"https://openalex.org/keywords/versa","display_name":"Versa","score":0.6268110871315002},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5876348614692688},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.534460186958313},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44270262122154236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43333128094673157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25717291235923767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13590610027313232},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07137995958328247},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.062488436698913574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988690137863159},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7464390993118286},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7414618134498596},{"id":"https://openalex.org/C2777655698","wikidata":"https://www.wikidata.org/wiki/Q1209358","display_name":"Versa","level":2,"score":0.6268110871315002},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5876348614692688},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.534460186958313},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44270262122154236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43333128094673157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25717291235923767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13590610027313232},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07137995958328247},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.062488436698913574},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1160633.1160818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1160633.1160818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309102","display_name":"City University of New York","ror":"https://ror.org/00453a208"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W28520690","https://openalex.org/W38830191","https://openalex.org/W124406830","https://openalex.org/W178169250","https://openalex.org/W1515851193","https://openalex.org/W1523067185","https://openalex.org/W1535672099","https://openalex.org/W1543088570","https://openalex.org/W1552721505","https://openalex.org/W1553182805","https://openalex.org/W1555519929","https://openalex.org/W1564534945","https://openalex.org/W1730487470","https://openalex.org/W1984607440","https://openalex.org/W1997477668","https://openalex.org/W2004550196","https://openalex.org/W2005186015","https://openalex.org/W2065087844","https://openalex.org/W2119567691","https://openalex.org/W2119742509","https://openalex.org/W2121863487","https://openalex.org/W2130766754","https://openalex.org/W2156750468","https://openalex.org/W2169982856","https://openalex.org/W2334782222","https://openalex.org/W2531563875","https://openalex.org/W2561675875","https://openalex.org/W2624908529","https://openalex.org/W4205974577","https://openalex.org/W6601498605","https://openalex.org/W6607982758","https://openalex.org/W6632529242","https://openalex.org/W6679568601","https://openalex.org/W6758704384","https://openalex.org/W6765121496"],"related_works":["https://openalex.org/W4243539654","https://openalex.org/W2736101327","https://openalex.org/W1999515821","https://openalex.org/W2506095657","https://openalex.org/W4399568603","https://openalex.org/W2796387647","https://openalex.org/W4232946288","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"In":[0,49,68],"this":[1],"paper":[2],"we":[3,37,51,71,83,92],"describe":[4,93],"the":[5,12,58,80],"initial":[6],"results":[7],"of":[8,86],"an":[9,64],"investigation":[10],"into":[11],"relationship":[13],"between":[14],"Markov":[15],"Decision":[16],"Processes":[17],"(MDPS)":[18],"and":[19,29,66,75],"Belief-Desire-Intention":[20],"(BDI)":[21],"architectures.":[22],"While":[23,79],"these":[24],"approaches":[25],"look":[26],"rather":[27,88],"different,":[28],"have":[30],"at":[31],"times":[32],"been":[33],"seen":[34],"as":[35],"alternatives,":[36],"show":[38,52],"that":[39,82,102],"they":[40,95],"can":[41,96],"be":[42,97],"related":[43,76],"to":[44,54,61,99],"one":[45],"another":[46],"quite":[47],"easily.":[48],"particular,":[50],"how":[53,94],"map":[55],"intentions":[56],"in":[57,63,105],"BDI":[59],"architecture":[60],"policies":[62],"MDP":[65],"vice-versa.":[67],"both":[69,73],"cases,":[70],"derive":[72],"theoretical":[74,87],"algorithmic":[77],"mappings.":[78],"mappings":[81,101],"obtain":[84],"are":[85,103],"than":[89],"practical":[90],"value,":[91],"extended":[98],"provide":[100],"useful":[104],"practice.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}