Decentralised Metacognition in Context-Aware Autonomic Systems: Some Key Challenges

A distributed non-hierarchical metacognitive architecture is one in which all meta-level reasoning components are subject to meta-level monitoring and management by other components. Such metacognitive distribution can support the robustness of distributed IT systems in which humans and artificial agents are participants. However, robust metacognition also needs to be context-aware and use diversity in its reasoning and analysis methods. Both these requirements mean that an agent evaluates its reasoning within a “bigger picture” and that it can monitor this global picture from multiple perspectives. In particular, social context-awareness involves understanding the goals and concerns of users