compucology.net

Compucology.net

Involves the multidisciplinary application of biological principles to traditionally technological design problems. Software is probably the most complex and fastest developing technological artifact yet devised – it already displays many of the characteristics of biological systems. However, the reinvention of biology through technology will not be restricted to the immaterial realm of software, and can as easily be applied to robotics and hybrid technological systems. Unorganized machines and the brain.

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Compucology.net | compucology.net Reviews

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Involves the multidisciplinary application of biological principles to traditionally technological design problems. Software is probably the most complex and fastest developing technological artifact yet devised – it already displays many of the characteristics of biological systems. However, the reinvention of biology through technology will not be restricted to the immaterial realm of software, and can as easily be applied to robotics and hybrid technological systems. Unorganized machines and the brain.

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Compucology.net | compucology.net Reviews

https://compucology.net

Involves the multidisciplinary application of biological principles to traditionally technological design problems. Software is probably the most complex and fastest developing technological artifact yet devised – it already displays many of the characteristics of biological systems. However, the reinvention of biology through technology will not be restricted to the immaterial realm of software, and can as easily be applied to robotics and hybrid technological systems. Unorganized machines and the brain.

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compucology.net

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Compucology.net » Unorganized machines and the brain

http://compucology.net/unorganized

Unorganized machines and the brain. In a fascinating and farsighted report written in 1948 Alan Turing suggested that the infant human cortex was what he called an unorganized machine. In the following, I discuss Turing’s ground-breaking ideas on unorganized machines and intelligence, with working examples of such machines, which I derived in 1994. Arrowheads on connecting circuits show the direction in which binary pulses flow. The values in nodes x. Traverses the network in an anti-clockwise direction.

2

Compucology.net » Copeland and Proudfoot miss the mark

http://compucology.net/criticism

Copeland and Proudfoot miss the mark. The following is a discussion of the errors and inconsistencies in Copeland and Proudfoot’s writing on Alan Turing’s neural networks.The syntax for B-type neural networks, as Turing described it. Has a serious functional limitation. If. A-type internode connections, such as circuit cd. Figure 1), are intersected by a B-type modifier (Figure 2), the resulting network cannot perform all logical operations. Click here for more on Turing neural networks. Recognise the fu...

3

Compucology.net » Genetic algorithms and computer chip design

http://compucology.net/chips

Genetic algorithms and computer chip design. By Craig Webster and Harshy Wanigasekara-Mohotti. The bit rot problem. One of the most attractive advantages of using GAs as design tools is their ability to find solutions to problems in a way completely free of preconceptions about what is possible and what is not. This is something that human designers find very difficult. This ability of GAs was highlighted in 1997 by Adrian Thompson. A researcher at the University of Sussex. Evolving a conscious machine.

4

Compucology.net » The WB-type network, unstable states and evolution

http://compucology.net/wbtype

The WB-type network, unstable states and evolution. The syntax for B-type neural networks, as Turing described it. Has a serious functional limitation. If all internode connections, such as circuit cd. Figure 1), are intersected by a B-type modifier (Figure 2), the resulting network cannot perform all logical operations. Click here for more on Turing neural networks. Other authors have suggested solving this problem by inventing new structures outside the scope of Turing’s work. Iii) spontaneously altern...

5

Compucology.net » Evolved Turing neural networks

http://compucology.net/evolved

Evolved Turing neural networks. By Craig Webster and William Fleming. In a report written in 1948 Alan Turing proposed the use of a genetic algorithm (GA) to “train” a particular type of neural network he called a B-type. Despite the apparent advantages of these networks Turing’s proposal has remained undeveloped until now. Networks because they mix A- and B-type links click here for more. The population of networks progressed through a cycle of connection modifier interference (training), goal-task test...

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