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. 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.
The best demo paper in PAAMS'21 will be awarded with 2.000€ and a diploma.
An extended and improved versión 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
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
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
The aim of the Doctoral Consortium is to provide a frame where students can present their on going research work and meet other students and researchers, and obtain feedback on future research directions.
The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.
All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim to provide detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
The maximum length of the papers is 12 pages (4 pages in Demonstrations & Doctoral Consortium), including figures and references:
All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.
PAAMS welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity.
Accepted papers will be included in PAAMS Proceedings, published by Springer.
At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. Accepted papers will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence.
*** Indexing: The books of LNAI and CCIS as part of LNCS series of Springer are made available to the following indexing services: Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, Google Scholar, IO-Port, MathSciNet, Scopus and Zentralblatt MATH. ****
Authors of selected papers from PAAMS will be invited to submit an extended and improved version to special issue in different journals.