{"id":"https://openalex.org/W4416549857","doi":"https://doi.org/10.48550/arxiv.2511.15716","title":"MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding","display_name":"MACIE: Multi-Agent Causal Intelligence Explainer for Collective Behavior Understanding","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416549857","doi":"https://doi.org/10.48550/arxiv.2511.15716"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.15716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.15716","pdf_url":"https://arxiv.org/pdf/2511.15716","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.15716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120551288","display_name":"Abraham Itzhak Weinberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weinberg, Abraham Itzhak","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120551288"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.85589998960495,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.85589998960495,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.03350000083446503,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.013199999928474426,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/collective-intelligence","display_name":"Collective intelligence","score":0.6097999811172485},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5230000019073486},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.48829999566078186},{"id":"https://openalex.org/keywords/collective-behavior","display_name":"Collective behavior","score":0.4327000081539154},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.36890000104904175},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.36820000410079956},{"id":"https://openalex.org/keywords/intelligence-analysis","display_name":"Intelligence analysis","score":0.35839998722076416},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.3474000096321106}],"concepts":[{"id":"https://openalex.org/C89057211","wikidata":"https://www.wikidata.org/wiki/Q432197","display_name":"Collective intelligence","level":2,"score":0.6097999811172485},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4837999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45019999146461487},{"id":"https://openalex.org/C100339178","wikidata":"https://www.wikidata.org/wiki/Q2548752","display_name":"Collective behavior","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4180000126361847},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.383899986743927},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.35690000653266907},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2780873155","wikidata":"https://www.wikidata.org/wiki/Q392811","display_name":"Agent-based model","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.15716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.15716","pdf_url":"https://arxiv.org/pdf/2511.15716","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.15716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.15716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.15716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.15716","pdf_url":"https://arxiv.org/pdf/2511.15716","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"Multi":[1,52],"Agent":[2,53],"Reinforcement":[3],"Learning":[4],"systems":[5],"are":[6],"used":[7],"in":[8,30,139],"safety":[9],"critical":[10],"applications.":[11],"Understanding":[12],"why":[13],"agents":[14],"make":[15],"decisions":[16],"and":[17,65,118,147,163,181],"how":[18],"they":[19],"achieve":[20],"collective":[21,38,94],"behavior":[22],"is":[23],"crucial.":[24],"Existing":[25],"explainable":[26],"AI":[27],"methods":[28],"struggle":[29],"multi":[31,164,183],"agent":[32,165,184],"settings.":[33],"They":[34],"fail":[35],"to":[36,40,68,145],"attribute":[37],"outcomes":[39],"individuals,":[41],"quantify":[42],"emergent":[43,88],"behaviors,":[44],"or":[45],"capture":[46],"complex":[47],"interactions.":[48],"We":[49,109],"present":[50],"MACIE":[51,72,111,156],"Causal":[54],"Intelligence":[55],"Explainer,":[56],"a":[57,176],"framework":[58],"combining":[59],"structural":[60],"causal":[61,79,107,159],"models,":[62],"interventional":[63,82],"counterfactuals,":[64],"Shapley":[66],"values":[67],"provide":[69],"comprehensive":[70],"explanations.":[71],"addresses":[73],"three":[74],"questions.":[75],"First,":[76],"each":[77],"agent's":[78],"contribution":[80],"using":[81,102],"attribution":[83],"scores.":[84],"Second,":[85],"system":[86],"level":[87],"intelligence":[89],"through":[90],"synergy":[91,142],"metrics":[92],"separating":[93],"effects":[95],"from":[96],"individual":[97],"contributions.":[98],"Third,":[99],"actionable":[100],"explanations":[101],"natural":[103],"language":[104],"narratives":[105],"synthesizing":[106],"insights.":[108],"evaluate":[110],"across":[112],"four":[113],"MARL":[114],"scenarios:":[115],"cooperative,":[116],"competitive,":[117],"mixed":[119],"motive.":[120],"Results":[121],"show":[122],"accurate":[123],"outcome":[124],"attribution,":[125],"mean":[126],"phi_i":[127],"equals":[128],"5.07,":[129],"standard":[130],"deviation":[131],"less":[132],"than":[133],"0.05,":[134],"detection":[135],"of":[136],"positive":[137],"emergence":[138,161],"cooperative":[140],"tasks,":[141],"index":[143],"up":[144],"0.461,":[146],"efficient":[148],"computation,":[149],"0.79":[150],"seconds":[151],"per":[152],"dataset":[153],"on":[154],"CPU.":[155],"uniquely":[157],"combines":[158],"rigor,":[160],"quantification,":[162],"support":[166],"while":[167],"remaining":[168],"practical":[169],"for":[170],"real":[171],"time":[172],"use.":[173],"This":[174],"represents":[175],"step":[177],"toward":[178],"interpretable,":[179],"trustworthy,":[180],"accountable":[182],"AI.":[185]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-23T00:00:00"}