Vocabulary for Expert Systems and Artificial Intelligence

Creating a system that produces results comparable to human intelligence

Software designed to make the same decisions that a human expert would, in a given knowledge domain.

Proposed test to see if a computer is intelligent or not.

"Scribble text" displayed as an image, which the user must type in to verify that they are a person.

General rules for performing a task, used to improve the performance of searching algorithms in AI applications.

Technique for making a computer produce better results by learning from past experiences.

Logic in which items can have multiple values. Used in AI.

System in which items can be partial or complete members of a set. Used in AI.

Use of previous answers (right or wrong) to improve the decision making process next time.

AI technique that tries to simulate the human brain, using neurons and synapses.

Input device that reads printed text, scans it, and converts it to text that can be edited in a word processor.

Level of certainty in an answer a pattern recognition system provides.

Computer system that can process spoken language and understand its meaning.

Area of an expert system where all facts about the knowledge domain are stored.

Part of an expert system, which attempts to relate the users input with knowledge stored in the knowledge base.

Rule used by the inference engine in an expert system to describe the relationship between key concepts.

Use of logical statements to come to a conclusion

Programmer responsible for entering expert knowledge into an expert system.

Software used to create expert systems.

Area of knowledge in which an expert system specializes.

Approach that tries to create systems that think and learn in the same way humans do.

Computer system hidden inside another device, such as a car engine management system.

Logic in which clauses can have one of two states - such as yes or no, true or false.

Computational Intelligence technique where computers are trained on examples and learn to recognize similarities between them.

Part of an expert system that accepts users inputs and presents answers.