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PRIMA 2024: Principles and Practice of Multi-Agent Systems : 25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings
PRIMA 2024: Principles and Practice of Multi-Agent Systems : 25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings
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ISBN No.: 9783031773662
Pages: xvi, 462
Year: 202411
Format: Trade Paper
Price: $ 110.39
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

- 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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