Artificial Intelligence and Human Cognition: A Theoretical Intercomparison of Two Realms of Intellect

Artificial Intelligence and Human Cognition: A Theoretical Intercomparison of Two Realms of Intellect

Artificial Intelligence and Human Cognition: A Theoretical Intercomparison of Two Realms of Intellect

Artificial Intelligence and Human Cognition: A Theoretical Intercomparison of Two Realms of Intellect

Synopsis

Wagman examines the emulation of human cognition by artificial intelligence systems. Human thought and computer thought are compared in their distinctiveness and commonality. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and KEKADA program) accomplishing highly intellectual tasks. This, together with his coverage of general theoretical perspectives on the nature of cognition makes this volume both a valuable sourcebook and stimulus for students and professionals in cognitive science, psychology, philosophy, and artificial intelligence courses.

Excerpt

This book examines the emulation of human cognition by artificial intelligence systems. Human thought and computer thought are compared in their distinctiveness and commonality.

Chapter I presents a general introduction to the computational modelling of cognition. The nature and significance of the production system formalism in cognitive science theory is discussed.

Computational reasoning and human rationality are considered in Chapter 2. Computational reasoning is exemplified by the intellectual contribution of sophisticated systems to the establishment of mathematical proof and by the demonstration competence of an advanced system for the careful discernment of legal issues in contract law.

The range, depth, and sensitivity of these mathematical and legal reasoning systems are compared with human mathematicians and human jurisprudence. General issues concerning the quality of human rationality are examined in several contexts: the prediction of economic behavior, mathematical abstraction and the concept of the infinitesimal, and probabilistic judgment under uncertainty.

The nature of problem solving in the context of general intellectual principles and specific domain knowledge is examined in Chapter 3. The ability of the FERMI (Flexible Expert Reasoner with Multi-domain Inferencing) system to deploy the general strategies of decomposition and invariance across several domains of physical science is described. Limitations on the applied flexibility and theoretical depth of the FERMI system are contrasted with human creativity. In the . . .

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