Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection: 22nd International Conference, PAAMS 2024, Salamanca, Spain, June 2628, 2024, Proceedings 2024 ed. [Mīkstie vāki]

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.