{"id":"https://openalex.org/W4416036235","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.772","title":"The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems","display_name":"The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416036235","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.772"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.772","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.772","pdf_url":"https://aclanthology.org/2025.emnlp-main.772.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.772.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111250921","display_name":"Zengqing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zengqing Wu","raw_affiliation_strings":["Graduate School of Informatics , Kyoto University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics , Kyoto University","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015129790","display_name":"Takayuki It\u014d","orcid":"https://orcid.org/0000-0001-5093-3886"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Ito","raw_affiliation_strings":["Graduate School of Informatics , Kyoto University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics , Kyoto University","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111250921"],"corresponding_institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"],"apc_list":null,"apc_paid":null,"fwci":2.187,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91063171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"15288","last_page":"15308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.2134000062942505,"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/T11031","display_name":"Game Theory and Applications","score":0.2134000062942505,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.16670000553131104,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.11379999667406082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.28299999237060547},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.263700008392334},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.26190000772476196},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26179999113082886},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.25769999623298645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5239999890327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31310001015663147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2903999984264374},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.772","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.772","pdf_url":"https://aclanthology.org/2025.emnlp-main.772.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.772","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.772","pdf_url":"https://aclanthology.org/2025.emnlp-main.772.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416036235.pdf","grobid_xml":"https://content.openalex.org/works/W4416036235.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Consensus":[0],"formation":[1],"is":[2],"pivotal":[3],"in":[4,47],"multi-agent":[5],"systems":[6,57],"(MAS),":[7],"balancing":[8],"collective":[9],"coherence":[10],"with":[11,65],"individual":[12],"diversity.Conventional":[13],"LLMbased":[14],"MAS":[15],"primarily":[16],"rely":[17],"on":[18,80],"explicit":[19,78],"coordination,":[20],"e.g.,":[21],"prompts":[22],"or":[23],"voting,":[24],"risking":[25],"premature":[26],"homogenization.We":[27],"argue":[28],"that":[29,50],"implicit":[30,75],"consensus,":[31],"where":[32,74],"agents":[33],"exchange":[34],"information":[35],"yet":[36],"independently":[37],"form":[38],"decisions":[39],"via":[40,108],"in-context":[41,109],"learning,":[42,110],"can":[43,58],"be":[44],"more":[45],"effective":[46],"dynamic":[48],"environments":[49],"require":[51],"long-horizon":[52],"adaptability.By":[53],"retaining":[54],"partial":[55,95],"diversity,":[56],"better":[59],"explore":[60],"novel":[61],"strategies":[62],"and":[63,88,90,103],"cope":[64],"external":[66],"shocks.We":[67],"formalize":[68],"a":[69],"consensus-diversity":[70],"tradeoff,":[71],"showing":[72],"conditions":[73],"methods":[76],"outperform":[77],"ones.Experiments":[79],"three":[81],"scenarios":[82],"-Dynamic":[83],"Disaster":[84],"Response,":[85],"Information":[86],"Spread":[87],"Manipulation,":[89],"Dynamic":[91],"Public-Goods":[92],"Provision":[93],"-confirm":[94],"deviation":[96],"from":[97],"group":[98],"norms":[99],"boosts":[100],"exploration,":[101],"robustness,":[102],"performance.We":[104],"highlight":[105],"emergent":[106],"coordination":[107],"underscoring":[111],"the":[112],"value":[113],"of":[114],"preserving":[115],"diversity":[116],"for":[117],"resilient":[118],"decision-making.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-11-08T00:00:00"}