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
Herausgegeben:Mathieu, Philippe; De la Prieta, Fernando
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
Herausgegeben:Mathieu, Philippe; De la Prieta, Fernando
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This book constitutes the refereed proceedings of the 22nd International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 2024.
The 26 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. The PAAMS 2024 proceedings focus on the development and deployment of agents and multi-agent systems and their real-world applications.
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This book constitutes the refereed proceedings of the 22nd International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 2024.
The 26 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. The PAAMS 2024 proceedings focus on the development and deployment of agents and multi-agent systems and their real-world applications.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
The 26 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. The PAAMS 2024 proceedings focus on the development and deployment of agents and multi-agent systems and their real-world applications.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15157
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-70414-7
- Seitenzahl: 376
- Erscheinungstermin: 19. November 2024
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 569g
- ISBN-13: 9783031704147
- ISBN-10: 3031704142
- Artikelnr.: 71261143
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 15157
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-70414-7
- Seitenzahl: 376
- Erscheinungstermin: 19. November 2024
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 569g
- ISBN-13: 9783031704147
- ISBN-10: 3031704142
- Artikelnr.: 71261143
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.