Abstract :
There is a wide variety in the understanding of genetics and evolution. This variety can be split into two main categories (the traditional and modal views), showing a clear difference in the nature of the functioning of genetics and evolution as held by the views in these categories. A valuation of this difference is not the issue, but a clarification of it could help to generate new ideas, especially in the domain of evolutionary intelligent agents (IAs). A representative traditional view of genetics and evolution, as used by interested computer scientists, is contrasted with a modal, theoretical biological view of genetics and evolution. Based on the differences between these views, starting points are analysed for possible new development perspectives in IA technology, particularly in its application in the fields of knowledge acquisition and cognition
Keywords :
biocybernetics; cognitive systems; evolution (biological); evolutionary computation; genetics; knowledge acquisition; software agents; biological evolution; cognition; computer science; evolutionary intelligent agents; genetics; knowledge acquisition; modal view; traditional view; Application software; Biology computing; Cognition; Cost accounting; Evolution (biology); Genetics; Intelligent agent; Knowledge acquisition; Programming profession; Writing;
