This use of building blocks to generate internal models is a pervasive feature of complex adaptive systems.

When a new building block is discovered, the result is usually a range of innovations.

If we are to understand the interactions of a large number of agents, we must first be able to describe the capabilities of individual agents.

Model building is the art of selecting those aspects of a process that are relevant to the question being asked. As with any art, this selection is guided by taste, elegance, and metaphor; it is a matter of induction, rather than deduction. High science depends on this art.

This use of building blocks to generate internal models is a pervasive feature of complex adaptive systems.

Particular individuals do not recur, but their building blocks do.

If there is to be a competition, there must be some basis for resolving it. It is also clear that the competition should be experienced based.