adily refuted by the fact that semantical meaning is not addressed by this argument. The fact that a clock can compute and display time doesn't mean that it has any concept of coounting or the meaning of time. Defining the nature of rule-following is the where the weakness lies with the fourth proposition. Proposition four fails to again account for the semantical nature of symbol manipulation. Referring to the Chinese Room Thought Experiment best refutes this argument. By examining the nature by which humans make conscious decisions, it becomes clear that the fifth proposition is an item of fancy. Humans follow a virtually infinite set of rules that rarely follow highly ordered patterns. A computer may be programmed to react to syntactical information with seeminly semantical output, but again, is it really cognizant? We, through Searle's arguments, have amply established that the future of AI lies not in the semantic cognition of data by machines, but in expert systems designed to perform ordered tasks. Technologically, there is hope for some of the proponents of Strong AI Thesis. This hope lies in the advent of neural networks and the application of fuzzy logic engines. Fuzzy logic was created as a subset of boolean logic that was designed to handle data that is neither completely true, nor completely false. Intoduced by Dr. Lotfi Zadeh in 1964, fuzzy logic enabled the modelling of uncertainties of natural language. 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. The meat and potat...
