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| Link zu diesem Datensatz | https://d-nb.info/1348769203 |
| Art des Inhalts | Konferenzschrift |
| Titel | Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection : 22nd International Conference, PAAMS 2024, Salamanca, Spain, June 26–28, 2024, Proceedings / edited by Philippe Mathieu, Fernando De la Prieta |
| Person(en) |
Mathieu, Philippe (Herausgeber) Prieta, Fernando De la (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XVI, 358 p. 123 illus., 100 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-70414-7 Printed edition:: ISBN: 978-3-031-70416-1 |
| Inhalt | PAAMS MAIN TRACK -- Distributed Optimization of Charging Station Selection of Electric Vehicles -- A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization -- Reinforcement Learning Enabled Peer to Peer Energy Trading for Dairy Farms -- Benchmarking Large Language Models for Multi Agent Systems A Comparative Analysis of AutoGen CrewAI and TaskWeaver -- Multi Agent Opinion Pooling by Voting for Bins Simulations and Characterization -- Neural Cellular Automaton for Decentralized Inference in Distributed Manipulator System -- Synthetic data generation for machine learning models with cognitive agent simulations -- A Digital Twin approach to Building's Dossier for Seismic Prevention -- MineLlama Llama with Retrieval Augmented Generation as A Decision Maker in Minecraft -- Learning Automata Strategies for Prolonging Lifetime of Wireless Sensor Networks -- Options to Speed up Search in Lifelong Multi Agent Pathfinding -- Cooperative Task Execution in Multi Agent Systems -- Federated Neural Machine Translation Using Multi Agent Reinforcement Learning -- A Decentralized Agent based Model for Crisis Events Using Embedded Systems -- Human and BDI Agent Interaction via KQML messages over IMAP and SMTP -- Models of Intelligent Tutoring Systems Based on Autonomous Agents for Virtual Learning Environments a Systematic Literature Review -- Dynamic estimation of customer movement by agent based simulation with particle filter -- Retrieval Augmented Generation Powered by a Multi Agent System to Assisted the Operation of Industries -- EGAR Environment Generator for Agent based Research -- Collaborating Digital Twins for Health Coaching -- Overcoming Computational Complexity A Scalable Agent Based Model of Traffic Activity using FLAME GPU -- Measuring Fairness in AI Explanations with LEADR Local Explanation Amplification Disparity Ratio -- Adaptive Learning of Centralized and Decentralized Rewards in Multi agent Imitation Learning -- Integrating Supervised and Reinforcement Learning for Heterogeneous Traffic Simulation -- Dynamic modification of agent behaviours without disrupting a running system -- A Machine Learning Based Trading Strategy Integrating Technical Analysis and Multi Agent Simulation -- PAAMS DEMONSTRATIONS -- AAMA Sim A Gazebo and ROS2 based Simulation Tool for Agent based Modelling of Cyber-physical Systems -- Using an Agent Based Cellular Automaton for Emergency Evacuation Simulation -- A pet robot prototype for animal assisted therapy -- Demo of the Agri RO5 architecture for Agrirobot Fleet Simulation -- Implementation of Real Time Local Search Method for Distributed Constraint Optimization with Message Loss in PubSub Communication -- Developing Safe Autonomous Logistic Systems with vGOAL |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2411200305320.867703430314 DOI: 10.1007/978-3-031-70415-4 |
| URL | https://doi.org/10.1007/978-3-031-70415-4 |
| ISBN/Einband/Preis | 978-3-031-70415-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Artificial Intelligence ; 15157 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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