Quotes of All Topics . Occasions . Authors
Particular individuals do not recur, but their building blocks do.
When a new building block is discovered, the result is usually a range of innovations.
Unwrapping occurs when the "solution" is explicitly built into the program from the start.
The measure of performance of any given agent is the amount of money it accumulates through its actions.
This use of building blocks to generate internal models is a pervasive feature of complex adaptive systems.
Evolution continually innovates, but at each level it conserves the elements that are recombined to yield the innovations.
The recycling of resource by the aggregate behavior of a diverse array of agents is much more than the sum of the individual actions.
nonlinear interactions almost always make the behavior of the aggregate more complicated than would be predicted by summing or averaging.
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.
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.
Looking back to data, we can see if the consequences are plausible; looking forward to theory, we can see if general principles are suggested.
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 multiplier effect is a major feature of networks and flows. It arises regardless of the particular nature of the resource, be it goods, money, or messages.
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.
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.
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.