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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

    AvPhilippe Mathieu,Fernando De la Prieta

    Häftad, Engelska, 2025

    Del 16031 i serien Lecture Notes in Computer Science

    719 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2025-11-24
    • Mått:155 x 235 x 23 mm
    • Vikt:628 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Computer Science
    • Antal sidor:398
    • Förlag:Springer Nature Switzerland AG
    • ISBN:9783032076373

    Utforska kategorier

    • Programmeringsböcker inom Data och IT
    • Programvaruutveckling inom Data och IT
    • Artificiell intelligens inom Data och IT

    Innehållsförteckning

    • .- 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.