Natural and Artificial Reasoning: An Exploration of Modelling Human Thinking

by Tom Addis

Overview

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?’

Product Details

ISBN-13:	9783319384931
Publisher:	Springer International Publishing
Publication date:	11/04/2015
Series:	Advanced Information and Knowledge Processing
Edition description:	Softcover reprint of the original 1st ed. 2014
Pages:	199
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Preface.- Insight and Reason.- Information and Intelligence.- Identifying Intelligence.- Knowledge Science.- Modelling Experiments.- Modelling Inference.- Simulating Belief and Action.- Programming and Meaning.- Irrational Reasoning.- Knowledge for Design.- Measures for Intelligence.- Implementing Intelligence.- Figuratively Speaking.- Seeking Allies.

Editorial 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)

From the Publisher