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  • Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection: 23rd International Conference, PAAMS 2025, Lille, France, June 25–27, 2025, Proceedings

    Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection by Mathieu, Philippe; De la Prieta, Fernando;

    23rd International Conference, PAAMS 2025, Lille, France, June 25–27, 2025, Proceedings

    Sorozatcím: Lecture Notes in Computer Science;

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    Hosszú leírás:

    "

    This book constitutes the refereed proceedings of the 23rd International Conference on Practical applications of Agents and Multi-Agent Systems, PAAMS 2025, held in Lille, France, during June 25–27, 2025.
    The 27 full papers and 9 short papers included in this book were carefully reviewed and selected from 57 submissions. The PAAMS 2025 proceedings focus on application and validation of agent-based models, methods, and technologies in a number of key application areas, including computational social science, digital twins, simulating complex systems, agents for social good, advanced models for learning, agent-based programming, distributed data analysis, automatic planning, decision-making, social interactions, formal and theoretic models, self-adaptation, mobile edge computing, swarms, and task allocation.
    "

    Több

    Tartalomjegyzék:

    .- Main Track.
    .- Transformer Based Models for Offline Multi-Agent Reinforcement Learning.
    .- Theory and Practice of Natural Strategy Checking in Concurrent Games with Imperfect Information.
    .- Optimizing road intersections using phase scheduling.
    .- SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2.
    .- Evaluating Infrastructure-Less Cooperative Parking Guidance via Agent-Based Simulation.
    .- Multi-Agent Reinforcement Learning with Automated Negotiation for Serial Supply Chain Management.
    .- Royal FLush: a MAS-based platform for Decentralized Federated Learning based on SPADE agents.
    .- Prioritized Path Planning for Multi-Agent Pickup and Delivery with Multi-Item Packing Problem.
    .- Distribution Model: Separation of Concerns to Facilitate the Distribution of Agent-Based Models.
    .- Towards an LLM-powered Social Digital Twinning Platform.
    .- Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments.
    .- Applying an Innovative TCN and Multi-Tasks SVM for Early Sepsis Prediction.
    .- Towards understanding Complex Adaptive Systems: An illustration on urban logistics.
    .- Efficient Assignment of Immediate Tasks Using Deep Reinforcement Learning in Multi-Agent Pickup and Delivery.
    .- Towards a replicable synthetic population and agent-based transport model for Bavaria.
    .- LDAS: Proposal for semi-optimal Storage Locations using LDA and SA
    .- Influence of State Representation on Algorithmic Collusion under Deep Learning.
    .- MASPY: A Python-Based Framework for Developing BDI Multi-Agent Systems.
    .- Is Generative Artificial Intelligence Ready for Computational Social Science?.
    .- Learning Controllability Using Destination Channels with Reward Navigation in Multi-Agent Systems.
    .- A migration control approach to improve security for Open MAS in IoT networks.
    .- Drone Swarms for Multi-Perspective Monitoring of Large Mammals in their Natural Habitats: Deployment and Field Trials.
    .- An Identity Based Agent Model for AI Value Alignment.
    .- Rasa4JaCa - A Communication Interface between Multi-agent Systems and Opensource Chatbot Technologies.
    .- SPADE as a MAS framework for the development of Digital Twins.
    .- TimeCIEL : Contextual Interactive Ensemble Learning for Time Series Classification.
    .- Marketing Strategies and Context Effects.

    .- DEMONSTRATIONS TRACK.
    .- Why is intersection control such a difficult task? A demonstration.
    .- Situated Agents in Action: Extending VEsNA with Spatial and Grabbable Artifacts.
    .- On the Usability and Extensibility of VITAMIN.
    .- Analysis, Implementation and Demonstration of the Nim Game Mathematical Winning Strategy.
    .- Machine learning for decision support and automation in games: agent city navigation.
    .- Planner-Guided Robot Swarm Demonstration with Natural Language Control.
    .- Demonstration: WellProdSim Social Simulator Terrain Model.
    .- From Console to Dashboard: A Demonstration of Real-Time Visualization for Social Simulation with WellProdSim.
    .- CyberAIMs: Using Agent-based Modeling & Simulation to address Strategies in Cyberspace.

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