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Machines, minds and computers

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Computers are becoming smarter and may soon become intelligent. This free course, Machines, minds and computers, looks at what intelligence is, how computers may become so, and whether they ever will really be intelligent. It is aimed at people interested in understanding what intelligence and thinking really are, and who want to understand the underpinnings of our ideas about them.

After studying this course, you should be able to:

  • explain the distinction drawn in this course between artificial intelligence and Symbolic AI
  • describe various possible tests for machine intelligence
  • explain the concepts of a computer model and of an optimisation problem
  • distinguish between a simulation, a replication and an emulation
  • distinguish between strong and weak artificial intelligence.

By: The Open University

  • Duration 10 hours
  • Updated Wednesday 16th March 2016
  • Advanced level
  • Posted under Computing
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Machines, minds and computers

Introduction

Unit image

The real question is not whether machines think but whether men do.

B. F. Skinner, Contingencies of Reinforcement (1969)

In this course I want to offer you a panoramic view of the intellectual background to the ideas we're going to cover. There are four principal sections – 'Machines', 'Minds', 'AI' and 'Computers' – framed by this introduction and some conclusions and reflections.

Briefly, this is the ground I want to cover:

  • Machines. In this section we'll look at the history of humanity's engagement with machine technologies and at our dream of building machines that share our special human features and powers – particularly our mental abilities.
  • Minds. Here, we'll explore the development of the idea that human thought might be a form of computation, from its origins in the 17th century, through the advent of the digital computer in the 20th, and into the Cybernetics and Symbolic AI movements of the recent past and the present.
  • AI. In this section we'll examine the birth and intellectual foundations of Symbolic AI and contrast it with the Cybernetic approach. We will also look at the distinction between strong and weak artificial intelligence.
  • Computers. Almost all of us have some experience of working with computers. Most of us probably feel confident we know what they are, and what they can do. In this section we'll examine the fundamental concept of the digital computer as an interpreted automatic formal system and consider the implications of this for computational theories of mind.

At the end, I'll try to draw some conclusions and set the scene for the course ahead. Some of the material in the course is historical, some technical – all of it is relevant to the theme of this course: humanity's quest to build intelligent machines.

This OpenLearn course provides a sample of Level 3 study in Computing & ICT [Tip: hold Ctrl and click a link to open it in a new tab. (Hide tip)]

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