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

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.

Evolution continually innovates, but at each level it conserves the elements that are recombined to yield the innovations.

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.

nonlinear interactions almost always make the behavior of the aggregate more complicated than would be predicted by summing or averaging.

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

The measure of performance of any given agent is the amount of money it accumulates through its actions.