Abstract neural automata

Self Cite

For a long time, one has carried on an endless debate for the problem of the origin of cognition. Much of the debate surrounding this comes from the problem of infinite regress. In a discussion on theory of the thought of abstract neural automata (ANA), we have considered thought, resulting from the nonuniqueness of ANA, to be an important stage of all evolutionary processes of cognition. If thought is considered to be an evolutionary process, we may ask where is the origin of the evolutionary process? In this paper, using ready‐made theory, merely for the problem of origin of thought, we shall offer views of ourselves, which cannot begin to talk about bringing forth new ideas in theory. The view on the theory of ANA about such a problem is that the thought of ANA results from its nonuniqueness, the nonuniqueness results from its uniqueness, the uniqueness originates from its non‐existence – “empty”, i.e. essential answer having universal sense is that thought of ANA originates from “empty”.

Section: Theoremmentioning

confidence: 99%

“…The theory of abstract neural automata (ANA) (Guangcheng, 1996) has been proposed in our past work. It differs from previous neural networks in that it is formed in finite number of neurons.…”

Section: Introductionmentioning

confidence: 99%

Abstract neural automata (ANA):existence of “empty” and origin of thought

2003

Self Cite

“…In our previous work, the learning theory and the theory of memory of neural network are presented (Guangcheng, 1991, 1995, 1998a). It is not difficult to extend these theory to theory of abstract neural automata (ANA) (Guangcheng, 1996, 1998b).…”

Section: Introductionmentioning

confidence: 99%

Variability of structure of abstract neural automata and the ability of thought

2003

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“…In our previous work, the learning theory and the theory of memory of Neural network is presented (Guangcheng, 1991; 1995; 1998a). It is not difficult to extend these theories to the theory of Abstract neural Automata (Guangcheng, 1996; 1998b).…”

Section: Introductionmentioning

confidence: 99%

Abstract neural automata: variability of structure, thought and Riemannian volume

2002

Self Cite

Believes that in the view of philosophy, a concept is the highest form of activity of human brain. This paper demonstrates Abstract Neural Automata and a more perfect brain's models that have the ability of transition of concept‐ability of thought. The transition of the concept of Abstract Neural automata results from the non‐uniqueness of its limit Gibbs measure‐variability of the structure of Abstract Neural Automata.By means of topological conjugate transformation, the previous theory of Abstract Neural Automata on a d‐dimensional (d≥1) integer lattice is extended to the compact Riemannian manifold. We have pointed out emphatically that functions of cognition and thought of Abstract Neural Automata depend crucially on its topological and the Riemannian structure, particularly, on its Riemannian volume of some relative places which are relative learning, memory, cognition and thought. Furthermore, the larger the Riemannian volume, the stronger the intelligent function. In the study of the human brain, and in particular, Einstein's brain, one has discovered such information.