PRIMA 2024: Principles and Practice of Multi-Agent Systems

This book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18-24, 2024.

The 23 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 76 submissions. They are organized in the following topical sections: coordination and cooperation; market approaches; logics; learning; agent-based modelling and simulation; computational social choice.

. - Coordination and Cooperation.

. - Attila: a Negotiating Diplomacy Player Based on Purely Symbolic A. I. .

. - Automated Negotiation in Supply Chains: A generalist environment for RL/MARL Research.

. - Bargaining through Amalgamation.

. - Cascading Power Reduction in Wi-Fi Networks: A Cooperative Approach to Enhance Performance and Efficiency.

. - Modelling the Dynamics of Identity and Fairness in Allocation Game.

. - Path Finding with Flexible Provisional Booking in Multi-Agent Pickup and Delivery Problems.

. - H-EFP: Bridging Efficiency in Multi-Agent Epistemic Planning with Heuristics.

. - SPPP: Stochastic penalty path planning for MAPF under conditions of uncertain travel time.

. - Market Approaches.

. - A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets -- A New Microfoundations of GARCH model.

. - Modelling Congestion and Price Competition in EV Charging Markets.

. - What is the Price for Lending in Financial Networks? .

. - Equilibria of Carbon Allowance Auctions: Emissions and Productivity.

. - Logics.

. - An action language-based formalisation of an abstract argumentation framework.

. - Belief Reconfiguration Without Oracle.

. - A Proof Calculus for Ethical Reasoning.

. - Resource Action-based Bounded ATL: a New Logic for MAS to express a cost over the actions.

. - Judgment Aggregation with Unknown Variable Reliability.

. - Theory and Practice of Quantitative ATL.

. - Added Value of Probabilistic Model Checking of vGOAL for Autonomous Systems .

. - Learning.

. - Improving Reinforcement Learning-based Autonomous Agents with Causal Models.

. - Incentive-driven Multi-Agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use.

. - Robust Individualistic Learning in Many-Agent Systems.

. - Discarding Erroneous Knowledge Online in Transfer Reinforcement Learning.

. - Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants.

. - Safe Multi-agent Reinforcement Learning for Drone Routing Problems.

. - Explainability and Interpretability of an Ensemble Multi-Agent System for Supervised Learning.

. - VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback.

. - Agent-based Modelling and Simulation.

. - An Agent-Based Model to Simulate the Effects of Tsunami Warnings on Pedestrian Evacuation : Sensitivity Analysis and Early Findings.

. - Beyond Chatbots: Enhancing Luxembourgish Language Learning Through Multi-Agent Systems and Large Language Model.

. - Computational Social Choice.

. - Multi-Stage Generalized Deferred Acceptance Mechanism: Strategyproof Mechanism for Handling General Hereditary Constraints.

. - Friend- and Enemy-oriented Hedonic Games with Strangers.

. - Taming Dilation in Imprecise Pooling.

. - The Score Reveal Problem: How do we Maximise Entertainment? .