Today, agent systems based on continuous logic are extensively explored in various sectors, such as robotics, social networks, economics, and so on. Continuous logic agent-based solutions are frequently being developed with service-based approaches, such as microservices, serverless systems, function-based systems, sensor networks, workflow management systems, and so on. In such cases, the agent-based modeling paradigm helps to capture the actual needs and requirements of the tasks that are to be handled by the system. Particularly, fuzzy logic in this context, can play a role in continuous logic agent systems. Fuzzy logic provides a framework for handling uncertainty and imprecision in dynamic environments, supporting more adaptive decision-making in certain contexts.
This special session aims to attract studies exploring use cases across various fields that have employed continuous logic agent systems, especially in managing fuzzy nuances, uncertainty and approximate reasoning effectively. A non-exhaustive list of relevant areas includes:
– Sabrina Senatore, University of Salerno, Italy, e-mail: ssenatore_at_unisa.it;
– Mario G.C.A. Cimino, Unversity of Pisa, Italy, e-mail: mario.cimino_at_unipi.it.