What is Cognitive Computing?
There is no definition or specification of the human mind. But, we understand it as a collection of processes of sensation, perception, action, cognition, emotion, and interaction. Yet, the mind seems to integrate sight, hearing, touch, taste, and smell effortlessly into a coherent whole, and to act in a context-dependent way in a changing, uncertain environment. The mind effortless creates categories of time, space, and object, and interrelationships between these. The mind arises from the wetware of the brain. Thus, it would seem that reverse engineering the computational function of the brain is perhaps the cheapest and quickest way to engineer computers that mimic the robustness and versatility of the mind. So cognitive computing is the quest to engineer mind-like intelligent business machines by reverse-engineering the computational function of the brain.
Cognitive computing refers to the development of computer systems modeled after the human brain. Originally referred to as artificial intelligence, researchers began to use the term cognitive computing instead in the 1990s, to indicate that the science was designed to teach computers to think like a human mind, rather than developing an artificial system. Cognitive computing integrates technology and biology in an attempt to re-engineer the brain, one of the most efficient and effective computers on Earth. Cognitive computing has its roots in the 1950s, when computer companies first began to develop intelligent computer systems. Most of these systems were limited, however, because they could not learn from their experiences. Early artificial intelligence could be taught a set of parameters, but was not capable of making decisions for itself or intelligently analyzing a situation and coming up with a solution. Enthusiasm for the technology began to wane, as scientists feared that an int
Cognitive Computing is when computer science meets neuroscience to explain and implement psychology. We have, in the brain and nervous system, an information processing system unrivalled by artificial means. While it trails machines in accuracy and mathematical computation, it wins on adaptability, flexibility, functionality, and parallelism. The ultimate goal is to reverse engineer enough of this system so that the design principles can be applied to building robust and adaptable computer systems. Cognitive Computing is different from Artificial Intelligence (AI) and Neural Networks (NN). From the outset, AI ignored neurobiology. While neural networks started from biological motivation, they too quickly discarded biological plausibility. In both cases, the approach has been to focus on a suitable problem, and to offer a “symbolic” or “neural network” solution to it. The brain, however, works in exactly the opposite fashion, it has evolved a solution that allows it to deal wit
There is no definition or specification of the human mind. But, we understand it as a collection of processes of sensation, perception, action, cognition, emotion, and interaction. Yet, the mind seems to integrate sight, hearing, touch, taste, and smell effortlessly into a coherent whole, and to act in a context-dependent way in a changing, uncertain environment. The mind effortless creates categories of time, space, and object, and interrelationships between these. The mind arises from the wetware of the brain. Thus, it would seem that reverse engineering the computational function of the brain is perhaps the cheapest and quickest way to engineer computers that mimic the robustness and versatility of the mind. So cognitive computing is the quest to engineer mind-like intelligent business machines by reverse-engineering the computational function of the brain. What is the difference between Cognitive Computing and AI? The field of artificial intelligence research has focused on individ
