Weak intelligence - Why computers will never think (unless designed differently)?
In the book "Weak intelligence" (see ttp://www.amazon.com/exec/obidos/ASIN/1560728981/qid%3D997700455/103-1711169-7916644) a tentative explanation is provided. It is claimed that the major thinking power comes from interactions between multiple subprocesses. The principle of "multiple knowledge", in a way similar to the Heisenberg principle, is introduced to divide nonintelligent and intelligent thinking (http://ai.ijs.si/mezi/weakAI/weakStrongAI.htm).
M. Gams: Weak intelligence: Through the principle and paradox of multiple knowledge, Advances in computation: Theory and practice, Volume 6, Nova science publishers, inc., NY, ISBN 1-56072-898-1, pp. 245, 2001.
CONTENTS (excerpts)
PREFACE
1 ARTIFICIAL INTELLIGENCE
1.1 Artificial Intelligence Directions
1.2 History of Artificial Intelligence
1.3 Where's the AI?
1.4 Storage/Memory vs. Processing/Thinking
1.5 Problems with Formalistic AI
1.6 Strong-AI Super-Projects
2 TRENDS OF COMPUTER PROGRESS
3 THE BRAIN
4 STRONG VERSUS WEAK AI
4.1 Description
4.2 Sloman's Engineering Gradation of Strong-Weak AI
5 FUNDAMENTALS OF AI, COMPUTER SCIENCE AND SCIENCE IN GENERAL
5.1 Alan Turing
5.2 The Turing Test
5.3 Turing Machine and Church-Turing Thesis
5.4 Church-Turing Thesis and Turing Machines
5.5 Goedel's Theorem and the Halting Problem
5.6 Penrose's Analyses of Goedel's Theorem
5.7 Is Interaction Stronger than Algorithms?
6 THE PRINCIPLE AND PARADOX OF MULTIPLE KNOWLEDGE
6.1 Basic Definitions
6.2 The Principle of Multiple Knowledge
6.3 The Paradox of Multiple Knowledge
7 CONFIRMATIONS OF THE PRINCIPLE
7.1 Multiple Knowledge in Empirical Learning
7.2 Simulated Multiple Models
7.3 Formal Worst-Case Analyses
7.4 Formal Average-Case Improvements
7.5 Fitting the Model to Real-Life Applications
7.6 Human Multiple Reasoning
7.7 Cognitive Sciences and Common Sense
8 CONSEQUENCES
8.1 Occam's Razor Vs. Multiple Knowledge
8.2 Bayes' Classifier And Multiple Knowledge
8.3 Properties of Knowledge
9 MANY-WORLDS THEORY AND QUANTUM COMPUTING
9.1 Paradoxes of Modern Physics
9.2 Interpretations of Quantum Physics
9.3 The Many-Worlds Theory
9.4 Objections to the Many-Worlds Interpretation
9.4 Quantum Computing
9.5 From Many Worlds to the Principle of Multiple Knowledge
10 STRONG AI FIGHTS BACK
11 CONCLUSION