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ITGS AI and Robotics Flashcards | StudBud
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ITGS AI and Robotics
ITGS AI and Robotics
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1
Common input devices in robotics
Robotic arms and fingers
Speakers and sirens
Clamps and claws
Lasers, cameras and sensors
2
System in which items can be partial or complete members of a set. Used in AI.
Temperate theory
Fuzzy set theory
Set theory
Median theory
3
Techniques for processing human languages to enable a computer to understand their meaning
Encoding
Natural Language Processing
Abnormal Algorithmic Processing
Decoding
4
General rules of thumb for performing a task, used to improve searching algorithms.
Algorithms
Inference rules
Heuristics
Chaining
5
Common output devices in robotics
CLamps, claws, motors, and sirens
Cameras
Sensors
Lasers and radar
6
Technique where computers are trained on examples and learn to recognize similarities
Logic
Pattern recognition
Turing test
Fuzzy Logic
7
Robot designed generally like a human - bipedal, upright, arms and head
Droid
Android
Humanoid
Cyborg
8
AI system that attempts to mimic the neurons and synapses in the human brain
Artificial Neural Networks
Artificial Intelligence
Expert system
Machine translation
9
Computerized device that performs manual or physical tasks autonomously or under remote control
Sensor
User interface
Robot
Knowledge engineer
10
Mathematical theory used in AI in which items can only belong in one set
Relative theory
Fuzzy set theory
Set theory
Absolute theory
11
Logic in which items can have multiple values i.e. temperature warm to very warm, used in AI.
Set Theory
Fuzzy Logic
Boolean Logic
Heuristics
12
Software used to create expert systems.
IDE
Expert System Shell
Knowledge base
Bespoke
13
System designed to create text that is unreadable to a computer but understandable to a person.
TuRING
Turing test
Capture
CAPTCHA
14
Software designed to make the same decisions as a human expert, in a given knowledge domain.
Artificial Neural Networks
Expert Systems
Natural Language Processing
Computational Intelligence
15
Approach that tries to create systems that think and learn in the same ways humans do.
Artificial Intelligence
Expert Systems
Computational Intelligence
Super Computing
16
Technique for automatically translating one human language into another.
Expert system
Confidence interval
Artificial Intelligence
Machine translation
17
Rule used by the inference engine to describe the relationship between key concepts.
Boolean rules
Data rules
IF-THEN rules
YES-NO rules
18
Rule used by the inference engine to describe the relationship between key concepts
Fuzzy rule
Expert rule
Inference rule
Logical rule
19
A system that produces results comparable to human intelligence. i.e. Deep Blue
Computational Intelligence
Artificial Intelligence
Deep Green
HAL
20
Robot designed to look like a human - with lifelike skin and other features
Cyborg
Autonomous droid
Humanoid
Android
21
AI technique that considers all possible solutions, looking for the best.
Heuristics
Boolean logic
Parallel processing
Brute force searching
22
Example data used in a pattern recognition system
Confidence interval
Computer vision
Lasers
Training data
23
Area of knowledge in which an expert system specializes
Knowledge base
Theory of Knowledge
Knowledge domain
Knowledge engineer
24
Part of an expert system that accepts user's input and presents answers
Inference engine
Expert system
Knowledge base
User interface
25
Test to see if a computer is intelligent or not
Training test
Turing test
True or False test
Times table test
26
Input devices used to measure physical traits, such as sound, heat, pressure, proximity, light
Pattern recognition
Sensors
Training data
Chaining
27
Area of an expert system where all facts about the knowledge domain are stored
Relational database
Secondary data base
Flat file database
Knowledge base
28
Level of certainty in an answer a pattern recognition system provides.
Certainty Denominator
Confidence Interval
Infallibility
Confident Equation
29
Programmer responsible for entering expert knowledge into an expert system
Database engineer
Development engineer
Knowledge engineer
Network engineer
30
Logic in which clauses can have one of two states - such as yes/no or true/false
Heuristics
Brillian Logic
Chaining
Boolean logic
31
Part of an expert system which relates user's input with knowledge stored in the knowledge base
Inference engine
Inference rules
User interface
Knowledge base
32
Robot which operates without human intervention
Humanoid
Autonomous
Android
Computer vision
33
Technique for making a computer produce better results by learning from past experiences
Memorization
Machine learning
Brute force searching
Algorithm learning
34
The use of a series of logical statements (inference rules) to come to a conclusion.
Chaining
Draining
Comparing
Chairing
35
Use of previous answers to improve the decision making process next time
Fuzzy logic
Feedback loop
Inference engine
Heuristics