Chapter 13: Intelligent Information System Flashcards

(34 cards)

1
Q

Artificial Intelligence

A

technologies that attempt to simulate and reproduce human thought/ behaviour

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2
Q

AI technologies, computer application require (4)

A

knowledge, perception, understanding and cognitive abilities

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3
Q

Robotics

A

evolve from AI, autonomous operations and perform tasks

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4
Q

Robotics operations and control
_____ _____ in tedious jobs
controlled by _____ _____
include _____ _____
Perform ____ ____ tasks

A

autonomous operation in tedious or hazardous jobs (free workers)
controlled by computer program
include programming language
perform simple repetitive tasks

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5
Q

Expert Systems

A

Is an AI system that mimics human expertise in a field to solve problem

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6
Q

Expert Systems used for activities that humans have already _____ _____ etc

A

handled successfully etc medicine, geology, education

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7
Q

expert systems: Heuristic data 2 ->Solve problems

A

knowledge based experience, available data to solve/describe problems

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8
Q

Factual Knowledge

A

facts related to discipline, subject, or problem

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9
Q

Heuristic Knowledge

A

Gain knowledge or result through intelligent guesswork

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10
Q

Meta-knowledge

A

knowledge about knowledge (how expert system makes decisions)

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11
Q

Intelligence Agents

A

software capable of reason and following rule-based program

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12
Q

Intelligence Agents known as (3)

A

bots (robots)
virtual agents (VA’s)
intelligent virtual agents (IVA’s)

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13
Q

Shopping and Information Agents

A

help users navigate through resources available on web

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14
Q

Personal Agents

A

perform specific task for user:
- remember information from filling out forms, email address completion

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15
Q

Data-mining agents (work with data warehouse)

A

detect trends, discover information/relationships among data

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16
Q

monitoring and surveillance agents

A

track and report on computer equipment/network systems to predict when crash/failure will occur

17
Q

Machine Learning

A

computers can learn without explicitly programmed

18
Q

Artificial Neural Networks
- examples
- type of model

A

networks learn and do tasks that are difficult with conventional computers etc chess, recognize faces
input/output model

19
Q

Artificial Neural Networks uses (3)

A
  • bankruptcy prediction, credit rating, target marketing
  • poorly structured programs
  • patterns instead of if-then-else
20
Q

Fuzzy logic

A

computing based on “degrees of truth” rather than “true or false”. Truth value of variables may be any real number between 0 and 1

21
Q

Fuzzy Logic allows a smooth transition between…….

A

human and computer vocabularies

22
Q

Fuzzy logic deals with variation in linguistics terms by using

A

linguistic terms by using membership degree

23
Q

Fuzzy logic is designed to help computers………

A

simulate vagueness and uncertainty in common situations

24
Q

Genetic Algorithms (GAs)

A

search algorithms that mimic process of natural selection and biological evolution

25
GAs are used to generate solutions to (2)
optimization and search problems
26
GAs attributes (4) m.s.c.ct
mutation, selection, crossover, chromosome techniques
27
GAs are designed to find combination of
inputs that generate most desirable outputs
28
Natural Language Processing (2)
- users communicate with computers in human language - provide question and answer format
29
NLP is used for (3)
Phone call routing, stock and bond trade, banking by phone
30
NLP Categories (Chatgpt) (5)
interface to database, machine translation, text scanning, generating text, speech systems
31
Activities Performed by NLP Systems: Interfacing (3)
accept human language as input carrying out corresponding command generating necessary output
32
Activities Performed by NLP Systems: Knowledge Acquisition (3)
- computer reads large amount of text and understand information - summarize important points, store information so system responds to inquiries
33
Contextual Computing (6,7,8th sense)
- computer environment always present and capable perceiving surroundings - offer recommendations based on individual need and requirement - tailor course of action based on what if knows
34
Contextual computing principle
computers can both sense and react to environments (similar to how human brains)