Cognitive Computing (CC) is an emerging paradigm of intelligent computing theories and technologies based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. The development of Cognitive Computers (cC) is centric in cognitive computing methodologies. A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing. This paper summarizes the presentations of a set of 6 position papers presented in the ICCI’10 Plenary Panel on Cognitive Computing and Applications contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
Cognitive Computing: Theories And Applications
The latest advances in cognitive informatics, abstract intelligence, and denotational mathematics have led to a systematic solution for the future generation of intelligent computers known as cognitive computers (cCs) that think, perceive, learn, and reason (Wang, 2006, 2009a, 2009b). A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing. cCs are designed to embody machinable intelligence such as computational inferences, causal analyses, knowledge manipulation, learning, and problem solving.
The term computing in a narrow sense is an application of computers to solve a given problem by imperative instructions; while in a broad sense, it is a process to implement the instructive intelligence by a system that transfers a set of given information or instructions into expected intelligent behaviors.
The essences of computing are both its data objects and their predefined computational operations. From these facets, different computing paradigms may be comparatively analyzed as follows:
Data objects: abstract bits and structured data
Operations: logic, arithmetic, and functions
Cognitive computing (CC)
Data objects: words, concepts, syntax, and semantics
Basic operations: syntactic analyses and semantic analyses
Advanced operations: concept formulation, knowledge representation, comprehension, learning, inferences, and causal analyses