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This book constitutes the refereed proceedings of the International Workshops on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 2024.
The 32 full papers presented here were carefully reviewed and selected from 44 submissions. Papers from the following workshops have been included in these proceedings: -
- Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA)
- Workshop on Character Computing (C2)
- Workshop on Cognitive Assistants and Data Fusion (CogniBlend)
- Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI)
- Workshop on Intelligent Agents in Science and Engineering (IASE)
- Workshop on Modelling and Simulation of Modern Energy Markets and Future Power Systems (MASES)
- Workshop on Digital Twinning for training purposes in Industry 4.0 (Twin4Train)
List of contents
.- Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA).
.- Birds and other animals detection through Artificial Intelligence: a full-system architecture.
.- Towards Sustainable Recycling: Advancements in AI-Based Waste Classification.
.- Introducing Coalitions to improve the performance of Federated Learning Consensus-based Algorithms.
.- Private-Safe (Logic-based) Decision Systems for Energy Assignment in Agricultural Cooperatives.
.- Adaptive Smart Areas: Tailoring Technology for the Development of Intelligent Rural Solutions.
.- Gamification system for improved demand-responsive transportation.
.- Value-aligned Decisions in Cooperative Environments.
.- Workshop on Character Computing (C2).
.- Fake Emotion Detection Using Natural Language Processing.
.- CARE: A Framework for Collecting and Annotating Emotions of Code-switched Words.
.- Character traits and states, mental health and electrophysiological markers of self-referential affective processing - Novel approaches from psychological research for Character Computing and Brain-Computer Interaction.
.- Workshop on Cognitive Assistants and Data Fusion (CogniBlend).
.- University Student Dropout: Exploring the Explainability of the Predictive Model.
.- A ROS-Based Federated Learning Framework for Decentralized Machine Learning in Robotic Applications.
.- Efficient Depth Object Detection: Ablation-Driven Optimization for Lightweight YOLOV8 Architecture.
.- Towards a low-rank approach to compress deep neural networks.
.- Impact of Blurring on Edge Detection Performance a Survey.
.- Towards Robustness in Intelligent Agents and Multi-agent Systems through Integration of Reinforcement Learning and Reasoning.
.- Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI).
.- Collaborative Problem-Solving with LLM: A Multi-Agent System Approach to Solve Complex Tasks using Autogen.
.- Machine Learning applied in Government Audit with focus on financial statement: A Systematic Literature Review.
.- Biomechanical Behaviour of the Diabetic Foot in Patients with Neuropathy.
.- Workshop on Intelligent Agents in Science and Engineering (IASE).
.- Agent-based Modelling tools for CPS - An Experimental Evaluation.
.- Transfer Learning with TD3 for Adaptive HVAC Control in Diverse Building Environments.
.- Towards Static Analysis of BDI Agents on CPS Using Petri Nets and Model-Driven Engineering.
.- Optimal Solar PV Site Identification using AutoEncoders and Clustering.
.- Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control.
.- Comparative Analysis of Classic and Reinforcement Learning Approaches for Robot Navigation in Dynamic Environments.
.- Workshop on Modelling and Simulation of Modern Energy Markets and Future Power Systems (MASES).
.- Multi-Scenario Based Optimal Allocation of Ultra-Fast Electric Vehicle Charging Station in the Distribution Network.
.- A Comparative Analysis of MPPT and FPPT for Solar Photovoltaic Systems.
.- Push-Sum Protocol with Random Proportion for Agents in Energy Trading.
.- Workshop on Digital Twinning for training purposes in Industry 4.0 (Twin4Train).
.- DITACT - Digital Twin for automated, customized training documents generation, A project to develop a generative digital twin for training materials.
.- Interactive Learning in Pharmaceutical Engineering: Deploying Augmented Reality for Enhanced Understanding of Mixer Granulators.
.- From Simulation to Application: The Transformative Role of Augmented Reality in Industry 4.0 Training.
.- Transforming Organizational Training: A Study of Extended Reality Applications in Industry 4.0.
