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27 Cards in this Set

  • Front
  • Back
the ability of computers to mimic or duplicate the functions of the human brain
Artificial Intelligence
people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate the characteristics of intelligence
Artificial Intelligence System
the ability to learn from experiences and apply knowledge acquired from experience, handle complex situations, solve problems when important information is missing, determine what is important, react quickly and correctly to a new situation, understand visual images, process and manipulate symbols, be creative and imaginative, and use heuristics
Intelligent Behaviour
a system that approximates the way a human sees, hears, and feels objects
Perceptive system
hardware and software that store knowledge and make inferences, similar to a human expert
Expert system
mechanical or computer devices that perform tasks requiring a high degree of precision or that are tedious or hazardous for humans
the hardware and software that permit computers to capture, store and manipulate visual images and pictures
Vision system-
processing that allows the computer to understand and react to statements and commands made in a “natural” language, such as English
Natural language processing-
a combination of software and hardware that allows the computer to change how it functions or reacts to situations based on feedback it receives
Learning System-
a computer system that can simulate the functioning of a human brain
Neural network-
an approach to solving large, complex problems in which a number of algorithms or models change and evolve until the best one emerges
Genetic algorithum-
software programs and a knowledge base to perform a specific task for a person, a process, or another program
Intelligent agent-
a collection of software packages and tools used to develop expert systems
Expert system shell-
a component of an expert system that stores all relevant information, data, rules, cases, and relationships used by the expert system
Knowledge base-
rules that suggest certain conclusions
If-then statements-
a special research area in computer science that allows shades of gray and does not require everything to be simple black or white, yes or no, or true or false
Fuzzy Logic
a conditional statement that links given conditions to actions or outcomes
part of the expert system that seeks information and relationships from the knowledge base and provides answers, predictions, and suggestions the way a human expert would
Inference Engine
the process of starting with conclusions and working backward to the supporting facts
Backward chaining
the process of starting with the facts and working forward to the conclusions
Forward chaining
component of an expert system that allows a user or decision maker to understand how the expert system arrived at certain conclusions or result
Explanation facility
part of the expert system that provides a convenient and efficient means of capturing and storing all the components of the knowledge base
Knowledge acquisition facility-
the area of knowledge addressed by the expert system
the individual or group has been the expertise or knowledge someone is trying to capture in the expert system
Domain Expert
an individual who has training or experience in the design, development, implementation, and maintenance of an expert system
Knowledge engineer-
the individual or group of who uses and benefits from the expert system
Knowledge user
a system that enables one or more users to move and react in a computer-simulated environment
Virtual Reality System