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Neural Computing is the study of networks of adaptable nodes which through a process of learning from task examples, store experiential knowledge and make it available for use.
Igor Aleksander
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I am not interested so much in behaviour from which you infer consciousness because that is a mug's game. I don't know whether you're conscious. I take a good guess that you are and you can take a good guess that I am but it's not something you can prove. We can't work out what someone else feels.
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Trying to understand the brain's abilities leads to philosophical difficulties. Penrose (1994) argues that the task is sterile and that science, including neural networks, has not yet advanced to the stage where it can explain conscious thought. At the other extreme there are philosophers such as Fodor (1975) who believed that thought has language-like properties and can be analysed in the same logical way as one can analyze the structure of language.
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Consciousness is an incredibly delicate subject because it offend. It's a subject that scientific groups kept away from. They said it was a philosophical concept.
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The point of a brain is that it's not one huge neural network with feedback, it has up to 50 to 60 identified areas, all of which have feedback and all of which are capable of knowledge storage. We've got a complex system and, within this complex system, we can start discovering what the mechanisms that support deliberation are. Consciousness must come out of these interactions.
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Neural computing is the study of cellular networks that have a natural property for storing experimental knowledge. Such systems bear a resemblance to the brain in the sense that knowledge is acquired through training rather than programming and is retained due to changes in node functions. The knowledge takes the form of stable states or cycles of states in the operation of the et. A central property of such nets is to recall these states or cycles in response to the presentation of cues.
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Machine consciousness refers to attempts by those who design and analyse informational machines to apply their methods to various ways of understanding consciousness and to examine the possible role of consciousness in informational machines.
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A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects:
1. Knowledge is acquired by the network through a learning process.
2. Interneuron connection strengths known as synaptic weights are used to store the knowledge.
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An opportunity for cybernetics to change the course of the philosophy of mind was missed when intentionality was misinterpreted as "the providing of coded knowledge".
Igor Aleksander
Quote of the day
Nobody ever did anything very foolish except from some strong principle.
William Lamb, 2nd Viscount Melbourne
Igor Aleksander
Born:
January 26, 1937
(age 87)
Bio:
Igor Aleksander is an emeritus professor of Neural Systems Engineering in the Department of Electrical and Electronic Engineering at Imperial College London.
Known for:
Impossible Minds (1996)
How to Build a Mind (2000)
Introduction to Neural Computing (1990)
The World in My Mind, My Mind in the World (2005)
Igor Aleksander on Wikipedia
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