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Download Cognitive Reasoning: A Formal Approach by Oleg M. Anshakov, Tamás Gergely, Tamas Gergely, Victor K. PDF

By Oleg M. Anshakov, Tamás Gergely, Tamas Gergely, Victor K. Finn

Dealing with uncertainty, relocating from lack of knowledge to wisdom, is the focal point of cognitive tactics. realizing those methods and modelling, designing, and construction man made cognitive platforms have lengthy been demanding study problems.

This e-book describes the idea and technique of a brand new, scientifically well-founded common technique, and its attention within the kind of clever structures appropriate in disciplines starting from social sciences, comparable to cognitive technological know-how and sociology, via usual sciences, corresponding to lifestyles sciences and chemistry, to technologies, similar to medication, schooling, and engineering.

The major topic constructed within the ebook is cognitive reasoning investigated at 3 degrees of abstraction: conceptual, formal, and realizational. The authors provide a version of a cognizing agent for the conceptual conception of cognitive reasoning, and so they current a logically well-founded formal cognitive reasoning framework to deal with many of the believable reasoning tools. They finish with an item version of a cognitive engine.

The ebook is acceptable for researchers, scientists, and graduate scholars operating within the components of man-made intelligence, mathematical good judgment, and philosophy.

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Additional info for Cognitive Reasoning: A Formal Approach

Example text

Similarity is understood as a separate entity, and not as a relation between objects or events. In our example the similarity is the bright (red or orange with black markings) colouring of an insect. However, in our opinion, reasoning of the above-described type is already quite different from reasoning by analogy. Since we assume that it is not correct to call such a rule of reasoning deductive, another term should be offered, differing from both deduction and analogy; for example, it is possible to call this rule causal prediction.

The sensing subsystem transfers to the interiorisation unit the data and knowledge in external formats. They are considered external data and knowledge. The data and knowledge are collected in the corresponding buffers (the data buffer and the knowledge buffer). This accumulation can occur in parallel with other actions of the cognizing agent, for example cognitive reasoning. When it becomes necessary, the data and knowledge from the buffers will be transformed by corresponding converters (the data converter and the knowledge converter) into an internal format of the cognizing agent.

The fact base is also heterogeneous. It contains a part which is not subject to change within one cycle of operation of the reasoner. For example, in such a part there may be some obvious facts connected with the description of the structure of objects in a certain subject domain. In the framework of the conceptual model we will not specify the internal structure of the reasoner. We only note that the reasoner should possess its own con1 Of course such a representation of the reasoning process is an idealisation and simplification of the real situation.

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