| A | B |
|---|
| AI | Creating a system that produces results comparable to human intelligence. |
| Artificial Intelligence | Creating a system that produces results comparable to human intelligence. |
| Artificial Neural Network | AI system that attempts to mimic the neurons and synapses in the human brain. |
| Boolean logic | Logic in which clauses can have one of two states – such as yes or no, true or false. |
| brute force searching | AI technique that considers all possible solutions, looking for the best. |
| CAPTCHA | System designed to create text that is unreadable to a computer but understandable to a person, to reduce spam. |
| chaining | Use of logical statements to come to a conclusion. |
| computational intelligence | Approach that tries to create systems that think and learn in the same way humans do. |
| confidence interval | Level of certainty in an answer a pattern recognition system provides. |
| expert system shell | Software used to create expert systems. |
| expert systems | Software designed to make the same decisions that a human expert would, in a given knowledge domain. |
| feedback loop | Use of previous answers (right or wrong) to improve the decision making process next time. |
| fuzzy logic | Logic in which items can have multiple values. Used in AI. |
| hand writing recognition | System to recognise human writing and convert it to text. |
| heuristics | General rules for performing a task, used to improve the perform of searching algorithms in AI applications. |
| IF-THEN rule | Rule used by the inference engine in an expert system to describe the relationship between key concepts. |
| inference engine | Part of an expert system which attempts to relate the users input with knowledge stored in the knowledge base. |
| inference rule | Rule used by the inference engine in an expert system to describe the relationship between key concepts. |
| knowledge base | Area of an expert system where all facts about the knowledge domain are stored. |
| knowledge engineer | Programmer responsible for entering expert knowledge into an expert system. |
| machine learning | Technique for making a computer produce better results by learning from past experiences. |
| machine translation | Technique for automatically translating one human language into another. |
| natural language processing | Techniques for processing human languages to enable a computer to understand their meaning. |
| neural networks | AI technique that tries to simulate the human brain, using neurons and synapses. |
| pattern recognition | Computational Intelligence technique where computers are trained on examples and learn to recognise similarities between them. |
| set theory | Mathematical theory used in some AI techniques. |
| speech recognition | Computer system that can process spoken language and understand its meaning. |
| training data | Example data used in a pattern recognition system. |
| Turing test | Proposed test to see if a computer is intelligent or not. |
| user interface | Part of an expert system that accepts users inputs and presents answers. |
| android | Robot designed to look like a human, with lifelike skin and other features. |
| autonomous | Robot which operates without human intervention. |
| camera, LASER, RADAR; humidity, light, infared, proximity, pressure, sound, heat, sensors | Common input device in robotics. |
| clamps, claws, lights, motors, relays, arms, finders, sirens, speakers, tracks, wheels | Common output device in robotics. |
| computer vision | Techniques to let computers and robots see and understand the world around them. |
| humanoid | Robot designed generally like a human – bipedal, upright, and arms, and a head. |
| robot | Computerised device that performs manual or physical tasks, either autonomously or under remote control. |
