Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2003-03-21
Nonlinear Sciences
Adaptation and Self-Organizing Systems
7 pages, no figures, submitted to the Journal of Consciousness Studies
Scientific paper
In this paper we argue that no forms of Turing test are either necessary or sufficient to establish if a machine is conscious or not. Furthermore, from a modeling point of view, the problem is that the Turing test does not really provide testable predictions. We believe that the model structure should explain the function (of consciousness). We argue that the cornerstone of any model on consciousness is to (partly) overcome the obstacle of the homunculus fallacy about the use of representations. In this contribution a possible solution is suggested, which makes use of reflexive architectures. The emerging computational constraints on the proposed architecture have lead to testable predictions on the dynamical behavior of the biological substrate. Interestingly, these predictions are in good agreement with recent experimental observations.
Lorincz Andras
Szirtes Gabor
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