Dealing with uncertainty, moving from ignorance to knowledge, is
the focus of cognitive processes. Understanding these processes and
modelling, designing, and building artificial cognitive systems
have long been challenging research problems.
This book describes the theory and methodology of a new,
scientifically well-founded general approach, and its realization
in the form of intelligent systems applicable in disciplines
ranging from social sciences, such as cognitive science and
sociology, through natural sciences, such as life sciences and
chemistry, to applied sciences, such as medicine, education, and
engineering.
The main subject developed in the book is cognitive reasoning
investigated at three levels of abstraction: conceptual, formal,
and realizational. The authors offer a model of a cognizing agent
for the conceptual theory of cognitive reasoning, and they also
present a logically well-founded formal cognitive reasoning
framework to handle the various plausible reasoning methods. They
conclude with an object model of a cognitive engine.
The book is suitable for researchers, scientists, and graduate
students working in the areas of artificial intelligence,
mathematical logic, and philosophy.
General
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