Abstract
The artificial evolution of intelligence is discussed
with respect to current methods. An argument for
withdrawal of the traditional �fitness function� in
genetic algorithms is given on the grounds that this
would better enable the emergence of intelligence,
necessary because we cannot specify what intelligence
is. A modular developmental system is constructed to
aid the evolution of neural structures and a simple
virtual world with many of the properties believed
beneficial is set up to test these ideas. Resulting
emergent properties are given, along with a brief
discussion.
- algorithms,
- artificial
- development,
- emergence,
- fractals,
- genetic
- intelligence,
- life,
- lindenmayer
- modularity,
- networks,
- neural
- programming,
- recurrence
- systems,
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