Supporting Adaptive Multi-Agent Systems with Digital Twins Environments

Abstract

Adaptability is an essential feature of autonomous agents, especially when considering the interaction with the real world which is, by definition, dynamic and unpredictable. To support adaptation in real-world scenarios self-describing Digital Twins with simulation and prediction abilities could be exploited to build the environment of a multi-agent system. A roadmap is presented, reflecting on the role of the environment in the development of multi-agent systems, its potential integration with Digital Twins and suggesting the need for a generalised model for adaptive agents that could leverage the features offered by such Digital Twins environment.