PRIMA 2024: Principles and Practice of Multi-Agent Systems

25th International Conference, Kyoto, Japan, November 18¿24, 2024, Proceedings
Herausgegeben:Arisaka, Ryuta; Sanchez-Anguix, Victor; Stein, Sebastian; Aydogan, Reyhan; van der Torre, Leon; Ito, Takayuki

• Broschiertes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Lecture Notes in Computer Science 15395
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-77366-2
• Seitenzahl: 480
• Erscheinungstermin: 17. November 2024
• Englisch
• Abmessung: 235mm x 155mm x 26mm
• Gewicht: 721g
• ISBN-13: 9783031773662
• ISBN-10: 3031773667
• Artikelnr.: 71844857

Inhaltsangabe

.- 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?.