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At least, I think it is. It may be true, but it is difficult to verify the authenticity of material on the Internet. For this reason, names have been omitted in this account.

which when operating on the electron vacuum wave function in equation (1.2) would give the following: and therefore

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his statements are still visionary While successes have been achieved in modeling biological neural systems, there are still no solutions to the complex problem of modeling intuition, consciousness and emotion - which form integral parts of human intelligence In 1950 Turing published his test of computer intelligence, referred to as the Turing test [Turing 1950] The test consisted of a person asking questions via a keyboard to both a person and a computer If the interrogator could not tell the computer apart from the human, the computer could be perceived as being intelligent Turing believed that it would be possible for a computer with 109 bits of storage space to pass a 5-minute version of the test with 70% probability by the year 2000.

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outstripping by far the costs of producing computer hardware. They spoke of a 'software crisis'. The problems of producing reliable computer software were aired at two conferences on Software Engineering, held in 1968 and 1969 and sponsored by the NATO Science Committee. Typical of the sort of facts laid bare at these conferences was the following statement by Hopkins of the IBM Corporation. We face a fantastic problem in big systems. For instance, in OS/3602 we have about 1000 errors per release. Tellingly, he added: Programmers call their errors 'bugs' to preserve their sanity; that number of 'mistakes' would not be psychologically acceptable. The process of debugging has several drawbacks: it is useless as a methodology for constructing programs, it can never be used to establish the correctness of a correct program, and it cannot be relied upon to establish the incorrectness of an incorrect program. Let us look in detail at these drawbacks. Here are two examples, each illustrating a different aspect.

Thus the eigenvalue:

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One well-known method of computing n 2 , for some positive integer n, without performing a multiplication is to sum the first n odd numbers. This is based on the property that n2 = 1+3 + 5 + . . . + ( 2 n - l ) . Not so well known is that a similar method can be used to compute n3, n4, n5, etc., without performing a multiplication. To see how this is done let us re-express the computation of n2 as follows. First, write down all the positive integers up to (and including) 2n - 1. For n - 6, this means the numbers 1 through 11. 1 2 3 4 5 6 7 8 9 10 11 Cross out every second number: 1 3 5 7 9 1 1 Finally, add these together to form a running total:

which not surprisingly can be simply manipulated (p = Hk = (h/27r)(27r/A)) to reproduce de Broglie's relationship in equation (1.1). Following on from this, classical mechanics gives the kinetic energy of a particle of mass ra as

Has his belief come true The answer to this question is left to the reader, in fear of running head first into another debate! However, the contents of this book may help to shed some light on the answer to this question A more recent definition of artificial intelligence came from the IEEE Neural Networks Council of 1996: the study of how to make computers do things at which people are doing better A definition that is flawed, but this is left to the reader to explore in one of the assignments at the end of this chapter This book concentrates on a sub-branch of AI, namely Computational Intelligence (CI) - the study of adaptive mechanisms to enable or facilitate intelligent behavior in complex and changing environments These mechanisms include those AI paradigms that exhibit an ability to learn or adapt to new situations, to generalize, abstract, discover and associate.

To compute n , begin as before by writing down all the positive numbers, but this time up to 3n - 2. For n = 6, this means the numbers I through 16.

Therefore it may be expected that the quantum mechanical analogy can also be represented by an eigenvalue equation with an operator:

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