Artificial Intelligence: The Basics
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'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011
Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include:
- how intelligence can be defined
- whether machines can 'think'
- sensory input in machine systems
- the nature of consciousness
- the controversial culturing of human neurons.
Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.
suggesting what the proportions are. In the past, the majority view has invariably swung one way or the other, often due to the political climate at the time. For example, nineteenth-century western society was ordered strictly by class, the upper classes being considered (by the upper classes) to be more intelligent, the lower classes being considered as feeble-minded idiots. The general concept was that it was intelligence that had brought about such differences and through genetic inheritance
into three camps, although there may be some overlap. The possibility that machines can act intelligently as a human does or act as if they were as intelligent as a human is referred to as weak AI. This concept stems from Marvin Minsky's definition of AI cited in Chapter 1, whereby machines do things that appear to be intelligent acts. This concept of weak AI is not accepted by some, however. Computers can, in fact, even now do many things better than (all) humans do, including things that we
crossover involves taking part of the code of A and mixing it with part of the code of B to make a new member for the next generation. For example, the first part (first two digits) of A mixed with the second part (last two digits) of B would realise 0100 – a new code. For longer codes, which is the usual case, the process is exactly the same; it's just that more digits are involved. Mutation, which is generally used less frequently, involves taking one digit (possibly at random) and changing
with evolving shape) can move across the world and disappear off one edge only to reappear on the opposite edge. It is possible, in this way, to get gliders to continually circle the world in a stable, time-locked loop. REAL-LIFE MODIFICATION Just as AI can take inspiration from the real world in terms of its construction and operation, the same is true with A-life. However, it is also apparent that results from A-life can make us think in an alternate way about real life and our
differently then the human race would realise very different outputs and evolve differently. One input from the field of A-life to other subject areas is to stimulate a simplistic view of what may at first appear to be complex behaviour. Whatever the field (e.g. biology, physics, chemistry), an approach to studying complex behaviour as observed in those fields can be to try to realise a similar behaviour in terms of simple (cell) interactive behaviours. If this is possible, approximately at