Abstract
No matter how commonly the term innovation has been
used in economics, a concrete analytical or
computational model of innovation is not yet available.
This paper argues that a breakthrough can be made with
genetic programming, and proposes a
functional-modularity approach to an agent-based
computational economic model of innovation.
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