Semantics knowledge base chain by boundary condition

A living creature's brain consists of various parts of neurons. The various parts of neurons have junctions for behaviours in action, like moving hands, recognition of things, etc. The neurons are activated by a stimulation from an inside world of brain or by an outside world in the nature. In...

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Bibliographic Details
Main Author: Sugiyama, S.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Boundary conditions
Cities and towns
Neurons
USA Councils
Online Access:Request full text
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Summary:A living creature's brain consists of various parts of neurons. The various parts of neurons have junctions for behaviours in action, like moving hands, recognition of things, etc. The neurons are activated by a stimulation from an inside world of brain or by an outside world in the nature. In this activation mechanism, we know that the neurons are trying to form a group of knowledge structure in order to get a suitable answer (Output) to the stimulation (Input). This group of knowledge can treat many kinds of things like "Go", "Take", "See", "What", etc., so it is called as "A Knowledge Base", as well. And, in the living creature's brain including a human's, there are many groups for many actions that are activated by the stimulations. They are distributed all over places in brain. And they are linked in someway one another. So with the information about the living creature's brain mechanisms, here studies about how to construct a knowledge base and how to get a knowledge base chain within a field of AI in order to get an appropriate response, INPUTtoOUTPUT, by introducing a new idea of Semantics Knowledge Base Chain by Boundary Condition.
DOI:10.1109/KIMAS.2005.1427147