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.

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.

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