Governance in Adaptive Normative Multiagent Systems for the Internet of Smart Things: Challenges and Future Directions

TL;DR

This paper discusses the importance and challenges of implementing governance in adaptive normative multiagent systems for IoT and autonomous vehicles, highlighting future research directions.

Contribution

It presents ongoing research on understanding and enhancing governance mechanisms in adaptive normative MASs for IoT applications.

Findings

Identifies governance as a key but underexplored aspect of adaptive normative MAS.

Highlights challenges in modeling and implementing governance in dynamic environments.

Proposes future research directions for domain-specific IoT systems with governance features.

Abstract

The rapidly changing environments in which companies operate to support the Internet of Things (IoT) and Autonomous Vehicles is challenging traditional Multi agent System (MAS) approaches. The requirements of these highly dynamic environments gave rise to Adaptive Normative MAS approaches. At the same time, governance is an essential and challenging feature that still needs to be addressed in adaptive normative MAS. Indeed, governance of individual and societal agent behavior in Adaptive Normative MASs is still a vague concept that has not been properly investigated, modeled and implemented. However, governance is fundamental for solving problems involving MAS coordination, organizations and institutions. In this paper, we present our ongoing research towards understanding and improving governance in Adaptive Normative MASs. We also discuss challenges and future directions that will facilitate the development of domain specific smart IoT systems with governance features.