The purpose of this book is to develop neural nets as a
strong theory for both brains and machines. The theory is
developed in close correlation with the biology of the
neuron and the properties of human reasoning. This approach
implies the following:
- Updating the biology of the artificialneuron. The
neurosciences have experienced a tremendous development in
the last 50 years. One of the main purposes of the present
work is toincorporate this knowledge into a strong model of
the artificial neuron. Particular attention is devoted to
formalizing the complex chemical processes at the synaptic
level. This formal language supports both symbolicreasoning
and uncertainty processing.
- Investigating the properties of expert reasoning. This
kind of reasoning is approximate, partial and non-monotonic,
and therefore requires special mathematical tools for its
formalization, such as fuzzy set theory and fuzzy logic.
Three different intelligent systems developed with this
technology are presented and discussed.