260 13 Local, Global and Glocal Knowledge Representation cated acts of perception. In general-evolution language, what is posited here is that organisms like humans contain chemical signals that signify organism-level success of various types, and that these signals serve as a “fitness function” correlating with evolutionary fitness of neuronal maps. In Neural Darwinism and his other related books and papers, Edelman goes far beyond this crude sketch and presents neuronal group selection as a collection of precise biological hypothe- ses, and presents evidence in favor of a number of these hypotheses. However, we consider that the basic concept of neuronal group selection is largely independent of the biological particular- ities in terms of which Edelman has phrased it. We suspect that the mutation and selection of “transformations” or “maps” is a necessary component of the dynamics of any intelligent system. As we will see later on (e.g. in Chapter 42 of Part 2, this business of maps is extremely important to CogPrime. CogPrime does not have simulated biological neurons and synapses, but it does have Nodes and Links that in some contexts play loosely similar roles. We sometimes think of CogPrime Nodes and Links as being very roughly analogous to Edelman’s neuronal clusters, and emergent intercluster links. And we have maps among CogPrime Nodes and Links, just as Edelman has maps among his neuronal clusters. Maps are not the sole bearers of meaning in CogPrime, but they are significant ones. There is a very natural connection between Edelman-style brain evolution and the ideas about cognitive evolution presented in Chapter 3. Edelman proposes a fairly clear mechanism via which patterns that survive a while in the brain are differentially likely to survive a long time: this is basic Hebbian learning, which in Edelman’s picture plays a role between neuronal groups. And, less directly, Edelman’s perspective also provides a mechanism by which intense patterns will b