PRIMA 2025: Principles and Practice of Multi-Agent Systems

26th International Conference, Modena, Italy, December 16–19, 2025, Proceedings

AvCatalin Dima,Angelo Ferrando

Häftad, Engelska, 2025

Del 16366 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 26th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2025, held in Modena, Italy, during December 16–19, 2025.The 25 full papers and 20 short papers included in this book were carefully reviewed and selected from 126 submissions.The conference also included three invited talks on cutting-edge topics in Artificial Intelligence and Multi-Agent Systems, presented by: Matteo Baldoni, University of Turin (Italy), Takayuki Ito, Kyoto University (Japan), and Alessio Lomuscio, Imperial College London (United Kingdom).

Produktinformation

Utgivningsdatum:2025-12-15
Mått:155 x 235 x 35 mm
Vikt:955 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:624
Förlag:Springer Nature Switzerland AG
ISBN:9783032135612

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Innehållsförteckning

.- Predicting the Outcome of Ongoing Automated Negotiations..- Agent-Based Simulation of a Financial Market with Large Language Models..- Strategyproof Matching with Maximum and Minimum Quotas for TwoTypes of Members..- Metric Distortion of STV on the Line and the Impact of Voter Turnout..- Building LLM-Based Artificial Market Simulations: Can LLMs Function as Agents in Multi-Agent Simulations for Finance?..- Symbolic Representation for Graded Dynamic Epistemic Logic..- Language Model-Driven Agent-based Framework for Generating and Evaluating Cyber Attack Scenarios..- Questions about Quantities: Epistemic Numerical Estimate Aggregation..- Solving Dec-POMDPs as POMDPs Using Imitation Learning..- Towards Neuro-Symbolic Conceptual Blending..- Modular Successor Representations for Transfer Learning in Social Navigation..- HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models..- Strategic Agent-Based Equilibrium Models for Urban Mobility: theTraffic Filter Location Problem..- Adaptive Multi-Round Influence Maximization with Limited Information..- OSP Diffusion Auctions..- Influence Maximization in Unknown Social Networks: A Contextual Bandit Approach..- Tableaux for epistemic G¨odel logic..- A Modal Logic for Temporal and Jurisdictional Classifier Models..- A Mission-Aware Coordinated Adaptation Mechanism for Enhancing Resilience of EO Satellite Constellations..- Effective Use of LLMs via Counterfactual Reasoning for Transparent Recommendation Explanations..- Integrating Cognitive Reasoning into Medical Scheduling: a Transition from ASP Personas to L-DINF Agents..- MiCRO for Multilateral Negotiations..- AOAD-MAT: Transformer-based Multi-Agent Deep Reinforcement Learning Model considering Agents’ Order of Action Decisions..- CULTURA: A Multi-Agent Neural–Symbolic System for Culturally Aware Arabic Story Generation..- Neural-Symbolic AI for Culturally Adaptive Arabic Sign-Language Translation with Motion-Capture Avatars..- MW-MAS: A Multi-Agent System for Multimodal Watermarking with Agent Orchestration..- Fair Mechanisms for Replicable Resources: A General Approach Based on Analogical Beneficence..- A Ratio-Based Shapley Value for Collaborative Machine Learning..- Discussion Graph Semantics of First-Order Logic with Equality for Reasoning about Discussion and Argumentation..- A Formal Methodology for Risk Estimation in Business Process Management..- An LLM and Embeddings-based Multi-Agentic System for Knowledge Graph Construction and Verification..- A Synergistic Reinforcement Learning Framework for Adaptive,Privacy-Preserving Trust and Collusion Detection in Multi-Agent Systems..- Expressive Reward Synthesis with the Runtime Monitoring Language..- Autonomy with Structural Task Allocation Games: From Inefficiency to Optimality..- RAISE: A Unified Framework for Responsible AI Scoring and Evaluation..- Colored Node Kayles: Algorithms and Computational Complexity..- A Stackelberg Game Model for EV Charging Markets..- Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification..- Defeasible Reasoning in Description Logics with Prototype Descriptions..- On the Role of Causal Reasoning in Autonomous Agents and Multi-agent Systems..- Agent-based Cyclist Model for Shared Space Traffic Simulation..- XAI-Guided Feature Pruning for Deep Reinforcement Learning in EV Routing Problems..- ABA Disputes in ASP: Advancing Argument Games through Multi-Shot Solving..- From Explicit Allowances to Defeasible Deontic Operators: A Modal View..- Deep Learning-Enhanced Multi-Agent Architecture for Real-Time UAM Trajectory Prediction and Collision Risk Assessment.