>Tags are really schema that appear in both the condition and action parts of rules, and they can also have building blocks.  They are subject to the same manipulation as any other part of a rule.
>Established tags, those found in strong rules, spawn related tags, providing new couplings, new clusters, and new interactions.
>Tags tend to enrich models by adding flesh (associations) to the skeleton provided by default hierarchies.
>Interesting comparisons can be made between systems at opposite ends of the spectrum.  
* Both the developing embryo and the growth of New York City start from a relatively simple seed.  
* Both grow and change.  
* Both develop internal boundries and substructures, with a progressively more complicated infrastructure for communication and transport of resources.  
* Both adapt to internal and external changes, retaining coherence while holding critical functions to a narrow range.  
* And, underpinning all, both consist of large numbers of adaptive agents, - in one case various kind of firms and individuals, and in the other, a variety of biological cells.
>To develop a common representation for adaptive agents in a broader setting, we have to provide an environment that allows our genetic agents to interact and aggregate.