MODELS OF ARTIFICIAL INTELLIGENCE. BETWEEN DIGITAL AND ANALOG FROM FORMAL TO INTUITIVE REASONING.

摘要

In order to investigate the mechanisms of human mind reasoning we ought to deal with both the brain structure model and the working model. Very few candidate models can partially simulate some fabulous capabilities of human brain. The capabilities of supervised and quite unsupervised learning are acceptable modelled by artificial neural networks. The rule-based models are convenient for reasoning model and the fuzzy systems are suitable dealing with uncertainty in approximate reasoning. However, the human brain is capable of more subtle ways to reason when have to solve problems. The analogy and intuition are among more sophisticated processes in our mind. In this paper, we try to perform some steps towards distinguishing of the intuitive reasoning based on the current models of the brain. Our approach points out the brain like a Finite State Machine in contrast with the brain like an analogue processor.