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

Häftad, Engelska, 2024

Av Philippe Mathieu, Fernando De la Prieta, Fernando De La Prieta

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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 PAAMS 2024 proceedings focus on the development and deployment of agents and multi-agent systems and their real-world applications.

Produktinformation

Utgivningsdatum2024-11-19
Mått155 x 235 x 21 mm
Vikt569 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor358
FörlagSpringer International Publishing AG
ISBN9783031704147

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Programvaruutveckling inom Data och it
Programmeringsböcker inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik

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.