Much of the material that relates to the field of Artificial Intelligence deals with human psychology and the nature of consciousness. Exhaustive debate on consciousness and the possibilities of consciousnessness in machines has adequately, in my opinion, revealed that it is most unlikely that we will ever converse or interract with a machine of artificial consciousness.

In John Searle's collection of lectures, Minds, Brains and Science, arguments centering around the mind-body problem alone is

sufficient to convince a reasonable person that there is no way science will ever unravel the mysteries of consciousness.

Key to Searle's analysis of consciousness in the context of Artificial Intelligence machines are refutations of strong and weak AI theses. Strong AI Theorists (SATs) believe that in the future, mankind will forge machines that will think as well as, if not better than humans. To them, pesent technology con

The application of fuzzy logic on neural networks (properly known as artificial neural networks) will revolutionalize many industries in the future. Though we have determined that conscious machines may never come to fruition, expert systems will certainly gain "intelligence" as the wheels of technological innovation turn.

4. Defuzzification is the optional process by which fuzzy data is converted to a crisp variable. In the lighting example, a level of illumination can be determined (such as potentiometer or lux values).

A new form of information theory is the Possibility Theory. This theory is similar to, but independent of fuzzy theory. By evaluating sets of data (either fuzzy or discrete), rules regarding relative distribution can be determined and possibilities can be assigned. It is logical to assert that the more data that's availible, the better possibilities can be determined.

Dr. Zadeh regards fuzzy theory not as a single theory, but as "fuzzification", or the generalization of specific theories from discrete forms to continuous (fuzzy) forms.

It may be easy to ridicule those proponents, but I submit that in their research into making conscious machines, they are doing the field a favor in the innovations and discoveries they make.

strains this achievement. The Weak AI Theorists (WATs), almost converse to the SATs, believe that if a machine performs functions that resemble a human's, then there must be a correlation between it and consciousness. To them, there is no technological impediment to thinking machines, because our most advanced machines already think.

The fuzzy logic inference process follows three firm steps and sometimes an optional fourth. They are:

Proposition one of the Weak AI Thesis is refuted by gazing into the past. People have historically associated the state of the art technology of the time to have elements of intelligence and consciousness. An example of this is shown in the telegraph system of the latter part of the last century. People at the time saw correlations between the brain and the telegraph network itself.

2. Under inference, truth values for each rule's premise are calculated and then applied to the output portion of each rule.

Some common words found in the essay are:
Possibility Theory, AI Thesis, Microsoft Of-course, Dr Lotfi, Chinese Experiment, Dr Zadeh, Thesis WAT, Proposition Turing, Artificial Intelligence, Center Knowbots/Infobots, neural networks, fuzzy logic, expert systems, ai thesis, neural network, weak ai, strong ai, artificial intelligence, weak ai thesis, expert system, strong ai thesis, neural network expert, development neural, application fuzzy logic, fuzzy logic expert,
Approximate Word count = 2419
Approximate Pages = 10 (250 words per page double spaced)