Intelligent Systems MGMT 661 Summer 2012 Night 7

Intelligent Systems MGMT 661 - Summer 2012 Night #7, Part 1

Outline for Tonight 1. Intelligent Systems n n 2. Decision Support Systems n n n 3. Enterprise Knowledge Management Systems Virtual Reality Neural Networks Expert Systems DSS and DSS models GIS ESS (e. g. Balanced Scorecard) Final Homework n tutorial on Pivot Charts

Information Processing n data = recording of events n information = organized data n knowledge = information + (patterns or context) n wisdom = knowledge + experience

Types of Information n Structured Information ¨ n explicitly laid out as tables, graphs, reports Unstructured Information emails ¨ presentations ¨ memos ¨ messages ¨

Enterprise-wide Knowledge Management Systems n contents: ¨ ¨ n structured and unstructured information FAQs, work blogs, white papers, special reports directory of in-house experts wiki pages features: ¨ ¨ ¨ search engines collaboration tools (e. g. wikis and bookmarking) automatic knowledge collection

Virtual Reality Systems n Current primary uses: ¨ engineering design ¨ medical imaging n Future Uses: ¨ immersive data mining

Virtual Reality Today n n Google Goggles ¨ cell phone app ¨ take a picture of a landmark and it tells you where you are Google Glasses hands free smart phone display ¨ responds to voice commands ¨

Neural Networks n used to model complex relationships between inputs and outputs or to find patterns in data n good at classification problems n learns by example

Expert Systems n Elements of problem solving facts about the problem ¨ theories about the problem ¨ strategies for solving these types of problems ¨ rules for what to do ¨ n Components of an Expert System ¨ Knowledge n n facts (known and inferred) heuristics (rule of thumb) ¨ Inference n Base Engine method for reasoning about the facts and heuristics to form a conclusion

Expert Systems n 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 n well suited to mimicking trouble shooters ¨ interpretation, diagnosis, design, repair, control n able to explain how and why a decision was reached n reasons to develop an ES: ¨ capturing scarce expertise ¨ consistent decisions ¨ faster response n Problems: ¨ expertise is hard to extract from humans

Group Exercise n Write four expert system rules to determine which courses an MBA student should take next semester. if (fact) then (new fact)