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200 10$aEngineering Multi-Agent Systems $e13th International Workshop, EMAS 2025, Detroit, MI, USA, May 19?20, 2025, Revised Selected Papers /$fedited by Sebastian Rodriguez, Lu Feng, Jörg P. Müller
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (349 pages)
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16407
311 08$a3-032-18010-4 
327   $a -- A Multi-Agent Collaborative Reasoning Framework for Generating Physics Puzzles.  -- Adaptive Modular Agent Architecture for Hybrid Two-Level Reasoning.  -- An agentic system of collaborative AI agents with reinforcement-learned subsystem improvements, applied to parsing form-like documents.  -- FALAA: Framework for the Abstraction of Language Agent Architectures.  -- Fluid: Social Norms-Based Multiagent Systems on the Web.  -- Holonic Active Distillation for Scalable Multi-Agent Learning in Multi-Sensor Systems.  -- LTL Semantics for Tumato: A Declarative Approach to Autonomous Agent Planning.  -- MEDiTATe: a First Step of a Journey from BDI to Neuroscience, and Back.  -- Octo-planner: On-device Language Model for Planner-Action Agents.  -- Oops, I Heard That! Situated Communication with Locality-Aware KQML.  -- Teamwork in Adversarial Video Games.  -- Towards Engineering LLM-Enhanced Multi-Agent Systems: A Critical Examination of Roles.  -- Towards Explainable BDI Agents for End-users.  -- Engineering the Next Generation of Multi-Agent Systems: A Community Roadmap from EMAS 2025.
330   $aThis book constitutes revised selected papers from the 13th International Workshop on Engineering Multi-Agent Systems, EMAS 2025, which took place in Detroit, USA, during May 19?20, 2025. The 13 full papers in this book were carefully reviewed and selected from a total of 16 submissions. The book also contains one paper on the community roadmap for EMAS. The contributions focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.
410  0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16407
606   $aArtificial intelligence
606   $aComputer engineering
606   $aComputer networks
606   $aApplication software
606   $aComputer science
606   $aArtificial Intelligence
606   $aComputer Engineering and Networks
606   $aComputer and Information Systems Applications
606   $aTheory of Computation
615  0$aArtificial intelligence.
615  0$aComputer engineering.
615  0$aComputer networks.
615  0$aApplication software.
615  0$aComputer science.
615 14$aArtificial Intelligence.
615 24$aComputer Engineering and Networks.
615 24$aComputer and Information Systems Applications.
615 24$aTheory of Computation.
676   $a006.3
700   $aRodriguez$b Sebastian$01893655
701   $aRodriguez$0371182
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996709682203316
996   $aEngineering Multi-Agent Systems$94542485
997   $aUNISA