- 2025
- Philippe Mathieu, Fernando de la Prieta:
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. Lecture Notes in Computer Science 15157, Springer 2025, ISBN 978-3-031-70414-7 [contents] - 2024
- Botond Ács, László Z. Varga:
Distributed Optimization of Charging Station Selection of Electric Vehicles. PAAMS 2024: 3-14 - Nawazish Ali, Rachael Shaw, Karl Mason:
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization. PAAMS 2024: 15-26 - Dogukan Altay, Burak Karaduman, Moharram Challenger:
AAMA-Sim - A Gazebo and ROS2-Based Simulation Tool for Agent-Based Modelling of Cyber-Physical Systems. PAAMS 2024: 317-323 - Rafael Barbarroxa, Luis Gomes, Zita Vale:
Benchmarking Large Language Models for Multi-agent Systems: A Comparative Analysis of AutoGen, CrewAI, and TaskWeaver. PAAMS 2024: 39-48 - Lea Bauer, Jonas Karge:
Multi-agent Opinion Pooling by Voting for Bins: Simulations and Characterization. PAAMS 2024: 49-60 - Nicolas Bessone, Payam Zahadat, Kasper Støy:
Neural Cellular Automaton for Decentralized Inference in Distributed Manipulation Systems. PAAMS 2024: 61-72 - Jim Blythe, Alexey Tregubov:
Synthetic Data Generation for Machine Learning Models with Cognitive Agent Simulations. PAAMS 2024: 73-83 - David Bueno, Carlos Cotta, José E. Gallardo:
Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation. PAAMS 2024: 324-329 - Carmen Cabezaolías, Andrea de la Cruz Díaz, Marcos Maroto-Gómez, José Carlos Castillo, Miguel Ángel Salichs:
A Pet Robot Prototype for Animal-Assisted Therapy. PAAMS 2024: 330-336 - Shiyao Ding, Takayuki Ito:
MineLlama: Llama with Retrieval-Augmented Generation as A Decision Maker in Minecraft. PAAMS 2024: 97-108 - Jakub Gasior:
Learning Automata Strategies for Prolonging Lifetime of Wireless Sensor Networks. PAAMS 2024: 109-120 - Giovanni De Gasperis, Sante Dino Facchini:
A Digital Twin Approach to Building's Dossier for Seismic Prevention. PAAMS 2024: 84-96 - Jorge Gutiérrez-Cejudo, Francisco Enguix Andrés, Marin Lujak, Carlos Carrascosa, Luis Hernández, Miguel Rebollo, Alberto Fernández:
Demo of the Agri-RO5 Architecture for Agrirobot Fleet Simulation. PAAMS 2024: 337-342 - Olivér Jakab, László Z. Varga:
Options to Speed-Up Search in Lifelong Multi-Agent Pathfinding. PAAMS 2024: 121-133 - Karishma, Shrisha Rao:
Cooperative Task Execution in Multi-agent Systems. PAAMS 2024: 134-147 - Kantaro Kitagawa, Yohei Murakami:
Federated Neural Machine Translation Using Multi-agent Reinforcement Learning. PAAMS 2024: 148-158 - Nilson Mori Lazarin, Tielle Alexandre, Magaywer Moreira de Paiva, Carlos Eduardo Pantoja, José Viterbo, Flavia Bernardini:
A Decentralized Agent-Based Model for Crisis Events Using Embedded Systems. PAAMS 2024: 159-171 - Nilson Mori Lazarin, João Pedro Bernardo de Souza, Carlos Eduardo Pantoja, Tielle Alexandre, José Viterbo:
Human and BDI-Agent Interaction via KQML Messages over IMAP and SMTP. PAAMS 2024: 172-183 - Juan P. López-Goyez, Alfonso González-Briones, Andrea F. Chamorro:
Models of Intelligent Tutoring Systems Based on Autonomous Agents for Virtual Learning Environments: A Systematic Literature Review. PAAMS 2024: 184-195 - Toshihiro Matsui:
Implementation of Real-Time Local Search Method for Distributed Constraint Optimization with Message Loss in Pub/Sub Communication. PAAMS 2024: 343-349 - Ryo Murata, Kenji Tanaka:
Dynamic Estimation of Customer Movements by Agent-Based Simulation with Particle Filter. PAAMS 2024: 196-207 - Francisco Oliveira, Luis Gomes, Zita Vale:
Retrieval-Augmented Generation Powered by a Multi-agent System to Assisted the Operation of Industries. PAAMS 2024: 208-216 - Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas:
EGAR: Environment Generator for Agent-Based Research. PAAMS 2024: 217-227 - Sana Salman, Debbie Richards:
Collaborating Digital Twins for Health Coaching. PAAMS 2024: 228-239 - Mian Ibad Ali Shah, Enda Barrett, Karl Mason:
Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. PAAMS 2024: 27-38 - Niloufar Shoeibi, Jonathan DeGange, Nastaran Shoeibi, Ali Shoeibi:
Measuring Fairness in AI Explanations with LEADR: Local Explanation Amplification Disparity Ratio. PAAMS 2024: 252-263 - Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi:
Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU. PAAMS 2024: 240-251 - Zofia Wrona, Maria Ganzha, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki:
Dynamic Modification of Agent Behaviors Without Disrupting a Running System. PAAMS 2024: 289-301 - Yi Yang, Tom Holvoet:
Developing a Safe Autonomous Logistic System with vGOAL. PAAMS 2024: 350-356