-
Boden, M. A. (2006), Mind as
Machine: A History of Cognitive Science, 2 vols. (Oxford:
Oxford University Press).
-
With the exception of deep learning and the Singularity,
every topic mentioned in this Very Short
Introduction is discussed at greater length in Mind as Machine.
-
Russell, S., and Norvig, P. (2013), Artificial Intelligence: A Modern Approach, 3rd edn.
(London: Pearson).
-
This is the leading textbook on AI.
-
Frankish, K., and Ramsey, W., eds. (2014), Cambridge Handbook of Artificial
Intelligence (Cambridge: Cambridge University
Press).
-
Describes the various areas of AI, less technically than
Russell and Norvig (2013).
-
Whitby, B. (1996), Reflections on
Artificial Intelligence: The Social, Legal, and Moral
Dimensions (Oxford: Intellect
Books).
-
A discussion of aspects of AI that are too often
ignored.
-
Husbands, P., Holland, O., and Wheeler, M. W., eds. (2008),
The Mechanical Mind in History
(Cambridge, MA: MIT Press).
-
The fourteen chapters (and five interviews with AI/A-Life
pioneers) describe early work in AI and
cybernetics.
-
Clark, A. J. (1989), Microcognition: Philosophy, Cognitive Science, and Parallel
Distributed Processing (Cambridge, MA: MIT
Press).
-
An account of the differences between symbolic AI and
neural networks. Today’s neural networks are much more complex than
those discussed here, but the main points of comparison still
stand.
-
Minsky, M. L. (2006), The Emotion
Machine: Commonsense Thinking, Artificial Intelligence, and the
Future of the Human Mind (New York: Simon &
Schuster).
-
This book, by one of the founders of AI, uses AI ideas to
illuminate the nature of everyday thought and
experience.
-
Hansell, G. R., and Grassie, W., eds. (2011), H +/−: Transhumanism and Its Critics
(Philadelphia: Metanexus).
-
Statements and critiques of the transhumanist philosophy
supported, and the transhumanist future predicted, by some AI
visionaries.
-
Dreyfus, H. L. (1992), What
Computers Still Can’t Do: A Critique of Artificial
Reason, 2nd edn. (New York: Harper and
Row).
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The classic attack, based in Heideggerian philosophy, of
the very idea of AI. (Know your enemies!)