Development of a framework for measuring cognitive process performance

Abstract

Cognitive architectures are concerned with the design of intelligent systems that should be able to perform cognitive tasks. The current paper introduces a theoretical approach to develop a general measurement framework for intelligent systems performance. The framework is based on concepts from communication theory and assumes the activity of an intelligent system to be the result of the communication between the system and its environment. Using the different entropies involved in this communication, the framework defines the system communication state and it is argued that this state captures the technical performance of the system. © 2013 Springer-Verlag.