Caros.

Se o 3o excluído fosse culpado da complexidade toda, então a lógica
intuicionista seria menos complexa q a lógica clássica (NPTIME).  Mas
acontece de ser MAIS complexa (PSPACE).

A busca pelo culpado da complexidade é o santo graal daqueles que
buscam pela lógica que caracterizaria a class P, mas ela é bem
elusica.

[]s

Marcelo


2010/11/1  <[email protected]>:
> Caros Colegas, recentemente apareceram teorias matemáticas da consciência,
> como no Abstract abaixo. Também destaco o paper "Towards a Physics of the
> Mind", de Leonid Perlovsky, artigo publicado no periódico "Physics of Life
> Reviews", que contém uma parte introdutória muito interessante, em que o
> autor identifica no Princípio do Terceiro Excluído a raiz do problema da
> hipercomplexidade combinatorial na Inteligência Artificial "forte". Também
> tem obtido destaque o trabalho de Balduzzi e Tononi "Qualia: the Geometry
> of Integrated Information" (vide entrevista com Tononi no New York Times:
> http://www.nytimes.com/2010/09/21/science/21consciousness.html?_r=2). Se
> alguém da lista tiver comentários a tecer sobre o assunto, ficarei grato.
> Abraços
> Alfredo Pereira Jr.
>
> http://dx.doi.org/10.1016/j.jal.2009.05.002
> Journal of Applied Logic 8(1):114-140, March 2010
> Dynamics of mental activity
> Willard L. Miranker and Gregg J. Zuckerman
>
> Motivated by neuronal modeling, our development of the mathematical
> foundations of consciousness in [W. Miranker, G. Zuckerman, Mathematical
> Foundations of Consciousness, J. Appl. Logic (2009)] (M-Z) was
> characterized by an axiomatic theory for consciousness operators that
> acted on the collection of all sets. Consciousness itself was modeled as
> emanating from the action of such operators on the labeled decoration of a
> graph, the latter set theoretic construct given the characterization of
> experience. Since mental activity (conscious and unconscious) is a time
> dependent process, we herein develop a discrete time dependent version of
> the theory. Specification of the relevant mental dynamics illuminates and
> expands the development of the mathematical framework in (M-Z) upon which
> our study of consciousness rests. This framework is an abstraction of
> neural net modeling.
>
> We review the Aczel theory for decorating labeled graphs, in particular
> that theory's application to the (M-Z) foundations. The relevant neuronal
> modeling concepts and terminology are also reviewed. A number of examples
> are presented. Then an extension of our considerations from graphs to
> multigraphs is made, since the latter represent a more accurate model of
> neuronal circuit connectivity. The dynamics are crafted for
> non-well-founded constructs by development of a hierarchy of systems,
> starting with the McCulloch–Pitts neuronal voltage input–output relations
> and building to a dynamics for the cognitive notions of memes and themata;
> these latter corresponding to aspects of decorations of labeled graphs
> associated with neural networks. We conclude with a summary and discussion
> of the semantics of the cognitive features of our development: memes,
> themata, qualia, consciousness operators, awareness field.
>
> Keywords: Awareness field; Anti-foundation axiom; Consciousness; M-Z
> Theory; Mental dynamics; Neural networks; Non-well-founded sets
>
> _______________________________________________
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>



-- 
Marcelo Finger
 Departamento de Ciencia da Computacao
 Instituto de Matematica e Estatistica
 Universidade de Sao Paulo
 Rua do Matao, 1010
 05508-090    Sao Paulo, SP     Brazil
 Tel: +55 11 3091-9688, 3091-6135, 3091-6134 (fax)
 http://www.ime.usp.br/~mfinger
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