PRIMA 2024: Principles and Practice of Multi-Agent Systems

PRIMA 2024: Principles and Practice of Multi-Agent Systems

25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings

Sanchez-Anguix, Victor; Aydogan, Reyhan; Arisaka, Ryuta; Ito, Takayuki; Stein, Sebastian; van der Torre, Leon

Springer International Publishing AG

12/2024

420

Mole

9783031773662

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.- 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?.
Multi-agent Systems;Intelligent Agents;Cooperation and Coordination;Distributed Artificial Intelligence;Machine Learning;Simulation Environments;Multi-agent planning;Knowledge representation and reasoning