A cognitively inspired model for self-aware agents

In the paper a tripartite model to computationally mimic high-level cognitive functions is presented. It consists of three modules, each of which is composed of schemes and heuristics. The schemes deal with external data and actions, while heuristics govern the operation of the schemes. We believe that such a model can be deployed in a number of ways. For example, it could be used in designing a self-aware application that runs on a portable device, with the capability to self-assemble audio/video streams for purposes such as entertainment, rehabilitation of the elderly and distance learning. Such an application would receive suggestions (inferred from users' choices and their directly expressed preferences) from a central database, and exploit its knowledge of the context (time of day, location, user activity and so forth) to assemble an information stream in real time.