ABSTRACT
This chapter presents an evolution of the cognitive function analysis from the perspective of developing both resource and context spaces use the properties of both cognitive functions and i-Blocks. It discusses the two distinctive categories, declarative and procedural descriptions. Cognitive function networks are incrementally developed through the generation of cognitive functions in both the resource space and the context space. A cognitive function can be defined a priori; in this case, it is a deliberate cognitive function. Deliberate cognitive functions can be implemented in a machine, usually in the form of software, or learned by a human being. In multi-agent systems, complexity mainly results from the multiple links between agents. Highly connected multi-agent systems behave like biological systems. In highly connected multi agent systems, such as our evolving airspace with a constant growth of interdependencies among agents, it is necessary to be able to assess socio-cognitive stability.
