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The Simulation of Human Intelligence By Donald E. Broadbent

The Simulation of Human Intelligence

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The contributions to this volume examine the implications of recent advances in artificial intelligence and ask whether machines with artificial intelligence can develop artifical minds.
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The Simulation of Human Intelligence Summary

The Simulation of Human Intelligence by Donald E. Broadbent

Recent rapid advances in high-speed computer technology have provided a new reality, an perhaps urgency, to the arguments concerning some of the most basic and long-standing of philosophical issues. If computers can, before too long, achieve a genuine artificial intelligence, then may they not also have artificial minds? In this series of lectures, a distinguished group of international contributors from a variety of disciplines debate the current position. Donald Broadbent's introduction describes the parallels in human and machine behaviour, asserting the value of a scientific approach. Roger Penrose goes on to set the scene by evaluating current claims and issues, supporting a sceptical view. Contributions from Allen Newell, Dana Ballard and Mike Brady present some recent achievements of engineering and computer science, showing just how far machines have come. In his chapter Edmund Rolls offers a perspective from neuroscience and examines how certain cognitive processes (such as memory) can be understood in terms of how the brain itself computes and functions. From linguistics, Gerald Gazdar considers recent progress in getting computers to handle natural languages (such as English, Japanese, etc) rather than artificial languages. In the final chapter, Margaret Boden assesses the impact on philosophty of the current argument, which hangs on the resolution of a deep philosophical debate about the nature of mind.

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Table of Contents

Acknowledgements List of Contributors Introduction (Donald Broadbent, University of Oxford) 1. Setting the Scene: the Claim and the Issues (Roger Penrose, University of Oxford) 2. The Approach Through Symbols (Allen Newell, Carnegie Mellon University; Richard Young, MRC Applied Psychology Unit, Cambridge; Thad Polk, Carnegie Mellon University) 3. Sub-Symbolic Modeling of Hand-Eye Coordination (Dana H Ballard, University of Oxford) 4. Networks in the Brain (Edmund Rolls, University of Oxford) 5. Computational Vision (Mike Brady, University of Oxford) 6. The Handling of Natural Language (Gerald Gazdar, University of Sussex) 7. The Impact on Philosophy (Margaret A Boden, University of Sussex).

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The Simulation of Human Intelligence by Donald E. Broadbent
Donald E. Broadbent
Used - Very Good
John Wiley and Sons Ltd
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