mind and machine
Technology has traditionally evolved as the result of human needs. Invention, when prized and rewarded, will invariably rise-up to meet the free market demands of society. It is in this realm that Artificial Intelligence research and the resultant expert systems have been forged. 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 c
Esentially, he makes his point by citing the famous "Chinese Room Thought Experiment." It is here he demonstrates that a "computer" (a non-chinese speaker, a book of rules and the chinese symbols) can fool a native speaker, but have no idea what he is saying. By proving that entities don't have to understand what they are processing to appear as understanding refutes proposition one. 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. 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). Through argument and experimentation, Searle is able to refute or severely diminish these propositions. Searle argues that machines may well be able to "understand" syntax, but not the semantics, or meaning communicated thereby. Through the course of Mind and Machine, we have established that artificial intelligence's function will not be to replicate the conscious state of man, but to act as an auxiliary to him. Proponents of Strong AI Thesis and Weak AI Thesis may hold out, but the inevitable will manifest itself in the end. a reasonably understood feature in its networking of neurons. The neuron is the foundation of the brain itself; each one manifests up to 50,000 connections to other neurons. Multiply that by 100 billion, and one begins to grasp the magnitude of the brain's computational ability. 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.
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)
|