Cognitive science applications, Computer Engineering

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This branch of AI is concerned with incorporating knowledge from varied disciplines such as biolog neurology psychology mathematics and several linked disciplines. It is typically concerned with studying the functioning of human brain. The human information processing research is conducted to learn how humans think and learn. The various applications in the cognitive science area of AI are:

a. Learning systems: The learning gathered during functioning is used by the adaptive learning systems to incorporate changes in their own behaviour.

b. Experts Systems: This knowledge based system is basically involved improvising information through a reasoning and analysis ability. The role of a knowledge engineer forms the crux of the system. Their job is to interview experts in a subject area and embody the knowledge so acquired in a computer program for carrying out some task.

c. Fuzzy Logic : This is an area in which AI is close to the human level. Fuzzy logics an approach of dealing with imperfect data in a meticulous way. It is concerned with processing uncertain data and using the results inferences to solve many unstructured issues to a great extent if not completely.

d. Neural Networks : This involves the art of learning pattern recognition by processing sample problems and their solutions. it looks for paters in the set of examples and learns from those examples by associating the input patterns with the correct answer it is used mainly for credit assessment and fraud detection.

e. Genetic Algorithms: This is a techniques for getting problems to solve a task by randomizing and other mathematics functions. It uses Darwinian law of survival of the fittest to replicate advanced processes that are capable of solving the problems in a better way. They are mainly used for problems which are accompanied by infinite alternative course of actions to resolve them. The use of genetic algorithms software assists in isolating the fit.

f. Intelligent Agents: These are special purpose knowledge based information systems that use experts systems along with other AI technologies to accomplish tasks compatible to the user expectations. They serve as surrogate software for an end user or a process that fulfils a stated need or activity. The search web sites on the internet and intranets exemplify the use of intelligent agent in furthering the e commerce revolution.


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