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Consciousness - A Mathematical Treatment of the Global Neuronal Workspace Model (Paperback, 2005 ed.)
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Consciousness - A Mathematical Treatment of the Global Neuronal Workspace Model (Paperback, 2005 ed.)
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This book is not an intellectual history or popular summary of
recent work on consciousness in humans. Bernard Baars (1988),
Edelman and Tononi (2000), and many others, have written such, and
done it well indeed. This book, rather, brings the powerful
analytic machinery of communication theory to bear on the Global
Neuronal Workspace (GNW) model of consciousness which Baars
introduced, and does so in a formal mathematical manner. It is not
the first such attempt. The philospher Fred Dretske (1981), indep-
dent of Baars, long ago outlined how information theory might
illuminate the understanding of mind. Adapting his approach on the
necessary conditions for mental process, we apply a
previously-developed information theory analysis of interacting
cognitive biological and social modules to Baars' GNW, which has
become the principal candidate for a 'standard model' of
consciousness. Invoking an obvious canonical homology with
statistical physics, the method, when iterated in the spirit of the
Hierarchical Linear Model of regression theory, generates a
fluctuating dynamic threshold for consciousness which is similar to
a tunable phase transition in a physical system. The phenomenon is,
however, constrained to a manifold/atlas structure analogous to a
retina; an adaptable Rate Distortion manifold, whose 'topology', in
a large sense, reflects the hierarchy of embedding constraints
acting on consciousness. This view greatly extends what Baars has
characterized as 'contexts.
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