Chapter 13: Intelligent Information System Flashcards

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
Q

GAs are used to generate solutions to (2)

A

optimization and search problems

26
Q

GAs attributes (4) m.s.c.ct

A

mutation, selection, crossover, chromosome techniques

27
Q

GAs are designed to find combination of

A

inputs that generate most desirable outputs

28
Q

Natural Language Processing (2)

A
  • users communicate with computers in human language
  • provide question and answer format
29
Q

NLP is used for (3)

A

Phone call routing, stock and bond trade, banking by phone

30
Q

NLP Categories (Chatgpt) (5)

A

interface to database, machine translation, text scanning, generating text, speech systems

31
Q

Activities Performed by NLP Systems: Interfacing (3)

A

accept human language as input
carrying out corresponding command
generating necessary output

32
Q

Activities Performed by NLP Systems: Knowledge Acquisition (3)

A
  • computer reads large amount of text and understand information
  • summarize important points, store information so system responds to inquiries
33
Q

Contextual Computing (6,7,8th sense)

A
  • 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
Q

Contextual computing principle

A

computers can both sense and react to environments (similar to how human brains)