Management Information Systems; Ch. 4 From Mcgraw Hill 5Th Edition Haag

Front 1

Adaptive filter

Back 1

asks you to rate products or situations and also monitors your actions over time to find out what you like and dislike

Front 2

Adaptivity

Back 2

the ability of intelligent agents to discover, learn, and take action independently

Front 3

Artificial intelligence (AI)

Back 3

the science of making machines imitate human thinking and behavior.

Front 4

Autonomy

Back 4

the ability of an intelligent agent to act without your telling it every step to take.

Front 5

Back-propagation neural network

Back 5

a neural network trained by someone.

Front 6

Buyer agent or shopping bot

Back 6

an intelligent agent on a Web site that helps you, the customer, find the products and services you want.

Front 7

Choice

Back 7

the third step in the decision-making process where you decide on a plan to address the problem or opportunity.

Front 8

Collaboration system

Back 8

a system that is designed specifically to improve the performance of teams by supporting the sharing and flow of information.

Front 9

Collaborative filtering

Back 9

a method of placing you in an affinity group of people with the same characteristics.

Front 10

Crossover

Back 10

the process within a genetic algorithm where portions of good outcomes are combined in the hope of creating an even better outcome.

Front 11

Data management

Back 11

component of DSS that performs the function of storing and maintaining the information that you want your DSS to use.

Front 12

Data-mining agent

Back 12

an intelligent agent that operates in a data warehouse discovering information.

Front 13

Decision support system (DSS)

Back 13

a highly flexible and interactive IT system that is designed to support decision making when the problem is not structured.

Front 14

Design

Back 14

where you consider possible ways of solving the problem, filling the need, or taking advantage of the opportunity.

Front 15

Domain expert

Back 15

the person who provides the domain expertise in the form of problem-solving strategies.

Front 16

Domain expertise

Back 16

the set of problem-solving steps; it's the reasoning process that will solve the problem.

Front 17

Expert system (also called a knowledge-based system)

Back 17

an artificial intelligence system that applies reasoning capabilities to reach a conclusion.

Front 18

Explanation module

Back 18

the part of an expert system where the "why" information, supplied by the domain expert, is stored to be accessed by knowledge workers who want to know why the expert systems asked a question or reached a conclusion.

Front 19

Extranet

Back 19

an intranet that is restricted to an organization and certain outsiders, such as customers and suppliers.

Front 20

Genetic algorithm

Back 20

an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem.

Front 21

Geographic information system (GIS)

Back 21

a decision support system designed specifically to work with spatial information.

Front 22

Implementation

Back 22

the final step in the decision-making process where you put your plan into action.

Front 23

Implementation

Back 23

the final step in the decision-making process where you put your plan into action.

Front 24

Inference engine

Back 24

the processing component of the expert system. It takes your problem facts and searches the knowledge base for rules that fit your problem facts.

Front 25

Intelligence

Back 25

the first step in the decision-making process where you find or recognize a problem, need, or opportunity (also called the diagnostic phase of decision-making).

Front 26

Intelligent agent

Back 26

software that assists you, or acts on your behalf, in performing repetitive computer-related tasks.

Front 27

Intranet

Back 27

an internal organizational Internet that is guarded against outside access by a special security feature called a firewall (which can be software, hardware, or a combination of the two).

Front 28

Knowledge acquisition

Back 28

the component of the expert system that the knowledge engineer uses to enter the rules.

Front 29

Knowledge base

Back 29

stores the rules of the expert system.

Front 30

Knowledge engineer

Back 30

the person who formulates the domain expertise into an expert system.

Front 31

Model management

Back 31

component of a DSS that consists of the DSS models and the DSS model management system.

Front 32

Monitoring-and-surveillance agents (or predictive agents)

Back 32

intelligent agents that observe and report on equipment.

Front 33

Mutation

Back 33

the process within a genetic algorithm of randomly trying combinations and evaluating the success (or failure) of the outcome.

Front 34

Neural network (often called an artificial neural network or ANN)

Back 34

an artificial intelligence system that is capable of finding and differentiating patterns.

Front 35

Nonrecurring, or ad hoc, decision

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one that you make infrequently (perhaps only once) and you may even have different criteria for determining the best solution each time.

Front 36

Nonstructured decision

Back 36

a decision for which there may be several "right" answers and there is no precise way to get a right answer.

Front 37

Profile filtering

Back 37

requires that you choose terms or enter keywords to provide a more personal picture of you and your preferences.

Front 38

Psychographic filtering

Back 38

anticipates your preferences based on the answers you give to a questionnaire.

Front 39

Recurring decision

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a decision that you have to make repeatedly and often periodically, whether weekly, monthly, quarterly, or yearly.

Front 40

Robot

Back 40

a mechanical device equipped with simulated human senses and the capability of taking action on its own.

Front 41

Rule-based expert system

Back 41

the type of expert system that expresses the problem-solving process as rules.

Front 42

Selection

Back 42

the process within a genetic algorithm that gives preference to better outcomes.

Front 43

Self-organizing neural network

Back 43

a network that finds patterns and relationships in vast amounts of data by itself.

Front 44

Sociability

Back 44

the ability of intelligent agents to confer with each other.

Front 45

Structured decision

Back 45

a decision where processing a certain kind of information in a specified way ensures you will always get the right answer.

Front 46

User agent (or personal agent)

Back 46

an intelligent agent that takes action on your behalf.

Front 47

User interface management

Back 47

the component of the expert system that you use to run a consultation.