With theory, we can separate fundamental characteristics from fascinating idiosyncrasies and incidental features. Theory supplies landmarks and guideposts, and we begin to know what to observe and where to act.

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.

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

From the point of view of physics, it is a miracle that [seven million New Yorkers are fed each day] without any control mechanism other than sheer capitalism.

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

Holland's and Kauffman's work, together with Dawkins' simulations of evolution and Varela's models of autopoietic systems, provide essential inspiration for the new discipline of artificial life, This approach, initiated by Chris Langton (1989, 1992), tries to develop technological systems (computer programs and autonomous robots) that exhibit lifelike properties, such as reproduction, sexuality, swarming, and co-evolution.