PAAMS Conference Practical Applications of Agents & Multi-Agent Systems

Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. PAAMS provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. PAAMS started as a local initiative, but has since grown to become the international yearly platform to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. Right now, PAAMS is classified as B2 by CAPES Qualis CC-Events and B by CORE Ranking. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development and deployment of Agents and Multi-Agent Systems. PAAMS intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on the application of multi-agent systems, to discuss and debate the major issues, and to showcase the latest systems using agent based technology. It will promote a forum for discussion on how agent-based techniques, methods, and tools help system designers to accomplish the mapping between available agent technology and application needs. Other stakeholders should be rewarded with a better understanding of the potential and challenges of the agent-oriented approach.

Proceedings of PAAMS 2022 (Main track) are available:

Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection

20th International Conference, PAAMS 2022

Editors: Frank Dignum, Philippe Mathieu, Juan Manuel Corchado, Fernando De La Prieta

More information

Proceedings of PAAMS 2022 (Workshops) are available:

Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection

International Workshops of PAAMS 2022

Editors: Alfonso González-Briones, Ana Almeida, Alberto Fernandez, Alia El Bolock, Dalila Durães, Jaume Jordán, Fernando Lopes

More information

Proceedings of previous editions are available:

https://link.springer.com/conference/paams

Springer

Accommodation grants

The University of Minho in collaboration with BISITE Research Group (bisite.usal.es) offers 20 grants/awards to doctoral and young doctors both to the event itself (including Workshops and Special Sessions) and to the parallel Co-located events.

More information: https://www.paams.net/open-calls/call-for-grants-awards

Special Issues

The Scientific Committee of the co-located conferences in collaboration with the guest editors will select the best papers from those presented in the conferences to be considered for publication in the following Special Issues:

SENSORS — Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue "Frontiers of Agents and Multiagent Systems" published in MDPI Sensors Journal (ISSN: 1424-8220, JCR (2021): 3.847 (Q2))

Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue "Advanced Architectures for Hybrid Edge Analytics Models on Adaptive Smart Areas" published in MDPI Electronics Journal (ISSN: 2079-9292, JCR (2021): 2.690 (Q3))

Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue "Trends in Practical Applications of Agents, Multi-Agent Systems and Simulating Cognitive Mimetics" published in MDPI Systems Journal (ISSN: 2079-8954, JCR (2021): 2.895 (Q2))

Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue published in ADCAIJ (ISSN: 2255-2863, JCI (2021): 0,05(Q4)) indexed in DOAJ, ProQuest, Scholar, WorldCat, Dialnet, Sherpa ROMEO, Dulcinea, UlrichWeb, Emerging Sources Citation Index of Thomson Reuters, BASE y Academic Journals Database.

Demonstration Award

The best demo paper in PAAMS'23 will be awarded by AIR Institute with 1000€ and trip to visit its headquarters (trip & accommodation).

An extended and improved version of the demo paper will be published in the Advances in Distributed Computing and Artificial Intelligence (ADCAIJ) journal.

More information: https://www.paams.net/open-calls/call-for-demonstration

PAAMS'22 awards information

First Award: "Grouplanner: a Group Recommender System for Tourism with Multi-Agent MicroServices" by Patrícia Alves, Domingos Gomes, Catarina Rodrigues, João Carneiro, Paulo Novais, and Goreti Marreiros

Second Award: "Agents Assembly: Domain Specific Language for Agent Simulations" by Przemysław Hołda, Kajetan Rachwał, Jan Sawicki, Maria Ganzha, and Marcin Paprzycki

Third Award: "Demonstrator of Decentralized Autonomous Organizations for Tax Credit’s Tracking" by Giovanni De Gasperis, Sante Dino Facchini, and Alessio Susco

2022 Electronics MDPI Best papers

"Nature-inspired algorithms and individual decision-making" by Juan Manuel Sánchez-Cartas and Inés Pérez-Sancristóbal

"Real-time algorithm recommendation using meta-learning" by Guilherme Palumbo, Miguel Guimarães, Davide Carneiro, Paulo Novais, and Victor Alves

"A Flexible Agent Architecture in SPADE" by Javier Palanca, Jaime A. Rincon, Carlos Carrascosa, Vicente Julian, and Andres Terrasa

"A Hybrid Model to Classify Physical Activity Profiles" by Vítor Crista, Diogo Martinho, Jorge Meira, João Carneiro, Juan Corchado and Goreti Marreiros

2022 Systems MDPI Best Papers

First Award: "The use of corporate architecture in planning and automation of production processes" by Zbigniew Juzoń, Jarosław Wikarek, and Paweł Sitek

Second Award: "Data Synchronization in Distributed Simulation of Multi-Agent Systems" by Paul Breugnot, Bénédicte Herrmann, Christophe Lang, and Laurent Philippe

Third Award: "The case for Somalia and Sudan debt relief. Insights from the evolution of HIPC countries using machine learning methods" by Tony Persico