19th International Conference on Practical Applications of Agents and Multi-Agent Systems

Salamanca (Spain) | 6th-8th October, 2021 | www.paams.net

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 C 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 2020 are available:


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

18th International Conference (PAAMS 2020)

Editors: Yves Demazeau, Tom Holvoet, Juan M. Corchado, Stefania Costantini

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

18th International Conference (PAAMS 2020)

Editors: Fernando De La Prieta, Philippe Mathieu, Jaime Andrés Rincón Arango, Alia El Bolock, Elena Del Val, Jaume Jordán Prunera, João Carneiro, Rubén Fuentes, Fernando Lopes, Vicente Julian

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Special Issues

Authors of selected papers from PAAMS 2021 will be invited to submit an extended and improved version to special issue in different journals.

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

To Be Updated

IBM Demonstration Award

The best demo paper in PAAMS'21 will be awarded with 2.000€ and a diploma.

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

IBM

PAAMS'20 awards information


First Award: SafeCity: A platform for Safer and Smarter Cities
Bruno Fernandes, Jose Neves, and Cesar Analide


Second Award: Assisting Users on the Privacy Decision-Making Process in an OSN for Educational Purposes
José Alemany, Elena Del Val, and Ana Garcia-Fornes


Third Award: Agent-based Crowd Discussion Support System and Its Societal Experiments
Takayuki Ito, Rafik Hadfi, Jawad Ahmad Haqbeen, Shota Suzuki, Atsuya Sakai, Naoki Kawamura, and Naoko Yamaguchi

Sensor MDPI best paper

HRS-EDU: Architecture to control social robots in education. John Paez, Enrique Gonzalez and Maria Impedovo

Identification of Antimicrobial Peptides from Macroalgae with Machine Learning. Michela Caprani, Orla Slattery, Joan Joan O'Keeffe and John Healy

Trust Model for a Multi-Agent based simulation of Local Energy Markets. Rui Andrade, Tiago Pinto and Isabel Praça

SMARTSEC4COP: Smart Cyber-Grooming Detection Using Natural Language Processing and Convolutional Neural Networks. Gustavo Isaza, Fabian Muñoz and Luis Castillo