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E-raamat: PRIMA 2024: Principles and Practice of Multi-Agent Systems: 25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings

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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 1824, 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?.
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