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.