| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
PRIMA 2024/ edited by Ryuta Arisaka ... [et al.]. |
| Reminder of title: |
principles and practice of multi-agent systems : 25th International Conference, Kyoto, Japan, November 18-24, 2024 : proceedings / |
| other author: |
Arisaka, Ryuta. |
| corporate name: |
International Conference on Principles and Practice of Multi-agent Systems |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xvi, 462 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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?. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Multiagent systems - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-77367-9 |
| ISBN: |
9783031773679 |