Book
BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness.
| Title: | BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness. |
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| Authors: | Gopych, Petro |
| Source: | Artificial Neural Networks - ICANN 2009 (9783642042768); 2009, p54-64, 11p |
| Abstract: | At the ground of most brain computations may be minimal abstract selectional machines (ASMs) implementing optimal algorithms of recent binary signal detection theory (BSDT). Using the BSDT ASMs, such fundamental cognitive notions as subjectivity and the meaning of a message have already been defined mathematically. BSDT neural network assembly memory model provides strict and biologically plausible definition of optimal assembly memory units (AMUs, implementations of ASMs) which may be considered as `atoms΄ of consciousness (AOCs). The idea of an AOC is here developed into an `atom΄ of consciousness model (AOCM) – a mathematical theory of consciousness. Neuronal computational structures leading to the emergence of subjective experience or a `quale΄ (a formal solution of the `hard problem΄ of consciousness) are presented as complex dynamical hierarchical associations of AMUs/AOCs of infinite prehistory. Within the AOCM framework some cognitive phenomena are explained and it has been demonstrated that unified and modular biological models of consciousness are not antithetical. [ABSTRACT FROM AUTHOR] |
| Copyright of Artificial Neural Networks - ICANN 2009 (9783642042768) is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| DOI: | 10.1007/978-3-642-04277-5_6 |
| Database: | Complementary Index |
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