STOCKHOLM JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (FAIM): Sant’Anna SCHOOL ORGANIZES FIRST INTERNATIONAL WORKSHOP ON REAL TIME COMPLIANT MULTI-AGENT SYSTEMS

Multi-agent Systems (MAS) have always been a relevant topic within Artificial Intelligence and recent technological advancements are leading to decentralized systems with increasing connections and interactions. The International Conference on Autonomous Agents and Multi-agent Systems (AAMAS) 2018, organized annually since 2002, is a merger of four events: the IJCAI-ECAI, (27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence),  ICML (International machine learning conference), ICCbr, (Annual meeting of the Case-Based Reasoning community and the leading international conference) and the SoCS (11th Annual Symposium on Combinatorial Search). The AAMAS conference will be held on 10-15 July 2018, in Stockholm. The aim of the conference is to bring together researchers and practitioners in all areas of agent technology and to provide a single, high-profile, internationally renowned forum for research in the theory and practice of autonomous agents and multi-agent systems.

Through a highly competitive selection process, the AMAS Conference Committee chose Professor Giorgio Buttazzo, founder of Sant’Anna School RETIS Lab., Davide Calvaresi, post-doctoral fellowship at University of Applied Science Western Switzerland, and Professor Aldo F. Dragoni of Università Politecnica delle Marche for organizing the first international workshop on Real-Time compliant Multi-Agent Systems (RTcMAS). This workshop, which focuses on exploitation of MAS in Cyber-Physical Systems and the Internet of Things, will be held on July 14 at Stockholmsmässan.

Artificial Intelligence applications have been playing an important role in Cyber-Physical Systems. Most AI algorithms are characterized by unpredictable performances, making them almost unusable for real-time control. Researches have then focused on tailoring AI techniques to make them more predictable within strict timing constraints. RTcMAS have the potential to face the challenges of the next-generation of Intelligent CPS, capable to exhibit rational human-standard behaviors, and guarantee the completion of tasks within the deadlines.

The RTcMAS workshop represents a unique opportunity to discuss ideas with researchers from a broad spectrum of disciplines spanning artificial intelligence, autonomous agents and safety-critical systems from both theoretical and pragmatic perspectives. It aims to gather the attention of the AI-interested audience from IJCAI-ECAI and AAMAS, with the goal of building the grounds for the next-generation Intelligent CPS, capable to face the challenges of the “ever more connected” Internet of Things era.

 

For additional information please visit RTcMAS workshop website.

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