With the progressive increase in the complexity of dynamic environments, systems require an
evolutionary configuration and optimization to meet the increased demand. In this sense, any
change in the conditions of systems or products may require distributed scheduling and resource
allocation of more elementary services. Centralized approaches might fall into bottleneck issues,
becoming complex to adapt, especially in case of unexpected events. Thus, Multi-agent systems
(MAS) can extract their automatic and autonomous behaviour to enhance the task effort
distribution and support the scheduling decision-making. On the other hand, MAS is able to
obtain quick solutions, through cooperation and smart control by agents, empowered by their
coordination and interoperability. By leveraging an architecture that benefits of a collaboration
with distributed artificial intelligence, it is proposed an approach based on a conceptual MAS
design that allows distributed and intelligent management to promote technological innovation in
basic concepts of society for more sustainable in everyday applications for domains with
emerging needs, such as, manufacturing and healthcare scheduling systems.This work has been supported by FCT - Fundação para a Ciência e a
Tecnologia within the R&D Units Projects Scope: UIDB/00319/2020 and UIDB/05757/2020.
Filipe Alves is supported by FCT Doctorate Grant Reference SFRH/BD/143745/2019.info:eu-repo/semantics/publishedVersio
