Transcript Intelligent Systems - People Search Directory

Intelligent Systems
MGMT 661 - Summer 2012
Night #7, Part 1
Outline for Tonight
1.
Intelligent Systems
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2.
Decision Support Systems
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3.
Enterprise Knowledge Management Systems
Virtual Reality
Neural Networks
Expert Systems
DSS and DSS models
GIS
ESS (e.g. Balanced Scorecard)
Final Homework
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tutorial on Pivot Charts
Information Processing
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data = recording of events
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information = organized data
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knowledge = information + (patterns or
context)
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wisdom = knowledge + experience
Types of Information
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Structured Information
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explicitly laid out as tables, graphs, reports
Unstructured Information
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emails
 presentations
 memos
 messages
Enterprise-wide Knowledge
Management Systems
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contents:
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structured and unstructured information
FAQs, work blogs, white papers, special reports
directory of in-house experts
wiki pages
features:
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search engines
collaboration tools (e.g. wikis and bookmarking)
automatic knowledge collection
Virtual Reality Systems
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Current primary uses:
 engineering
design
 medical imaging
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Future Uses:
 immersive
data mining
Virtual Reality Today
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Google Goggles
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cell phone app
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take a picture of a landmark and it tells you where
you are
Google Glasses
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hands free smart phone display
 responds to voice commands
Neural Networks
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used to model complex relationships between
inputs and outputs or to find patterns in data
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good at classification problems
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learns by example
Expert Systems
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Elements of problem solving
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facts about the problem
theories about the problem
strategies for solving these types of problems
rules for what to do
Components of an Expert System
 Knowledge
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facts (known and inferred)
heuristics (rule of thumb)
 Inference
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Base
Engine
method for reasoning about the facts and heuristics to form a
conclusion
Expert Systems
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Example Heuristics
if (temp is cold)
then (need to wear a coat)
if (sky is raining)
then (need an umbrella)
if (need to wear a coat)
and (going outside)
then (put on coat)
and (retract (need to wear a coat))
if (checked temp)
and (checked sky)
and (going outside)
then (go outside)
Expert Systems
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well suited to mimicking trouble shooters
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interpretation, diagnosis, design, repair, control
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able to explain how and why a decision was reached
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reasons to develop an ES:
 capturing scarce expertise
 consistent decisions
 faster response
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Problems:
 expertise
is hard to extract from humans
Group Exercise
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Write four expert system rules to
determine which courses an MBA student
should take next semester.
if (fact)
then (new fact)