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Natural and Artificial Reasoning: An Exploration of Modelling Human Thinking - Advanced Information and Knowledge Processing (Hardback)
  • Natural and Artificial Reasoning: An Exploration of Modelling Human Thinking - Advanced Information and Knowledge Processing (Hardback)
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Natural and Artificial Reasoning: An Exploration of Modelling Human Thinking - Advanced Information and Knowledge Processing (Hardback)

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£54.99
Hardback 199 Pages / Published: 03/11/2014
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What are the limitations of computer models and why do we still not have working models of people that are recognizably human? This is the principle puzzle explored in this book where ideas behind systems that behave intelligently are described and different philosophical issues are touched upon.

The key to human behavior is taken to be intelligence and the ability to reason about the world. A strong scientific approach is taken, but first it was required to understand what a scientific approach could mean in the context of both natural and artificial systems. A theory of intelligence is proposed that can be tested and developed in the light of experimental results. The book illustrates that intelligence is much more than just behavior confined to a unique person or a single computer program within a fixed time frame. Some answers are unraveled and some puzzles emerge from these investigations and experiments.

Natural and Artificial Reasoning provides a few steps of an exciting journey that began many centuries ago with the word `why?'

Publisher: Springer International Publishing AG
ISBN: 9783319112855
Number of pages: 199
Weight: 4439 g
Dimensions: 235 x 155 x 13 mm
Edition: 2014 ed.


MEDIA REVIEWS

"Tom Addis has written a remarkable book in computing that implements the ideas of the philosophers Charles Sanders Peirce and Ludwig Wittgenstein. ... This is an outstanding book for investigators in artificial and machine intelligence, simulationists and modelers, as well as experimental psychologists and teachers who have to deal with the development of scientific belief systems in their students." (Anthony J. Duben, Computing Reviews, April, 2015)

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