Transcript Expert systems/simulations

EXPERT SYSTEMS/SIMULATIONS
By: Kevin Driscoll and Toby Laforest
EXPERT SYSTEMS
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An expert system is software that attempts to
reproduce the performance of one or more human
experts
The primary goal of an expert system is to make
expertise information available to decision makers
and technicians who need answers quickly.
computer-based expert system emulates the behavior
of a human advisor, presents terminology unique to
the fieldThe primary goal of expert systems research
is to make expertise available to decision makers and
technicians who need answers quickly.
computer-based expert systems emulate the behavior
of a human advisor, present terminology unique to
the field and introduces the activities that must be
accomplished to build expert systems.
EXPERT SYSTEMS
An example of expert systems is Mycin
 A simpler example is 20Questions
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They call these expert systems “wizards”.
EXPERT SYSTEM COMPONENTS
User interface
 Explanation facility- explains reasoning of the
system to a user
 Knowledge Base – production memory (rules)
 Working memory- global database of facts
 Inference engine
 Agenda- prioritized list of rules satisfied by facts
 Knowledge acquisition facility
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ADVANTAGES OF EXPERT SYSTEMS
The interpretation of data
 Diagnosis of malfunctions
 Structural analysis of complex objects
 Processes mass data faster
 Planning sequences of actions
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EXAMPLES
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Mycin - Diagnose infectious blood diseases and recommend antibiotics (by
Stanford University)
NEXPERT Object - An early general-purpose commercial backwards-chaining
inference engine used in the development of expert systems
Prolog - Programming language used in the development of expert systems
Forth - Programming language used in the development of expert systems
R1/Xcon - Order processing
SHINE Real-time Expert System - Spacecraft Health INference Engine
STD Wizard - Expert system for recommending medical screening tests
PyKe - Pyke is a knowledge-based inference engine (expert system)
ARTIFICIAL INTELLIGENCE
Artificial Intelligence is a type of expert system
 AI is the "the science and engineering of making
intelligent machines.“
 It is an Expert System in the future, it takes the
concept and pushes it to the extreme
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SOCIAL AND ETHICAL ISSUES
Computer take over
 Job Substitutions
 Relying too much on technology
 Privacy
 Accessibility
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