QJF Press

Building a Machine with Visual Thinking Capabilities

 

ABSTRACT:

This talk is based on the book by Z & M Les issued by Springer-Verlag. In this talk the new results of the research on understanding and visual understanding will be presented.

Understanding requires knowledge that is acquired during learning process. In contrary to the existing learning methods, learning in the Shape Understanding System (SUS) is based on the new paradigm of the constant learning that means learning that will “never end”. During learning process new knowledge is added and ‘connected’ with previously learned knowledge. Learning refers to the system of categories where the central categorical structure is based on the category of the visual objects. In this talk a short description of the shape understanding system will be presented and the basic terms of the proposed method will be briefly described. The shape categories, categories of the visual objects and categories of the non-visual objects will be briefly described in the context of the visual thinking and visual understanding processes. Thinking and visual thinking will be described in the context of the philosophical and psychological investigations and the existing systems in the area of AI and robotics that could be called "thinking machines" will be briefly described. The results of learning knowledge to solve the crossword puzzle as well as learning specific knowledge to solve tasks from the different domains of the school curriculum will be presented. Application of the new method in solving the visual IQ test and other selected problems will be also presented.

 

 

 

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