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Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing.These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.
Cognitive systems engineering (CSE) is a field of study that examines the intersection of people, work, and technology, with a focus on safety-critical systems. The central tenet of cognitive systems engineering is to treat a collection of people and technology as a single unit, one that is capable of performing cognitive work.
Cognitive engineering is a method of study using cognitive psychology and cognitive neuroscience to design and develop engineering systems to support or improve the cognitive processes of users. [ 1 ]
Thus, a cognitive architecture can also refer to a blueprint for intelligent agents. It proposes (artificial) computational processes that act like certain cognitive systems. Most often, these processes are based on human cognition, but other intelligent systems may also be suitable. Cognitive architectures form a subset of general agent ...
Cognitive science is an interdisciplinary field with contributors from various fields, including psychology, neuroscience, linguistics, philosophy of mind, computer science, anthropology and biology. Cognitive scientists work collectively in hope of understanding the mind and its interactions with the surrounding world much like other sciences do.
Ulric Neisser coined the term cognitive psychology in his book with that title published in 1967. Neisser characterizes people as dynamic information-processing systems whose mental operations might be described in computational terms. Steven Pinker described language instinct as an evolved, built-in capacity to learn language (if not writing).
There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS.
These cognitive systems form an interactive network allowing representations in different systems to be associated (but see below). 5. Information Encapsulation. Due to the different codes in which representations of various types are written, one cognitive system cannot share information with another cognitive system.