Looking back to data, we can see if the consequences are plausible; looking forward to theory, we can see if general principles are suggested.

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.

Looking back to data, we can see if the consequences are plausible; looking forward to theory, we can see if general principles are suggested.

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.

Unwrapping occurs when the "solution" is explicitly built into the program from the start.

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