ADAPTIVE SYSTEMS & USER MODELING:
course structure revisited
Alexandra I. CristeaUSI intensive course “Adaptive Systems” April-May 2003
Introduction
• Course site: http://wwwis.win.tue.nl/~alex/HTML/USI/index.html
• Containing: – Course schedule, principles, tasks, etc.
• Please visit regularly to check for new info!
Adaptive System course parts1. Adaptive Systems, Generalities:
• Motivational aspects: natural AS, ex. from different domains
• soft vs. hard, I-O issues of AS, goal, adaptive vs. adaptable
2. User ModelingGoal, history, academic developments, I-O issues of UM,
techniques, economical developments, future
3. Data representation & manipulation for AS1. Symbolic example: Concept Maps
2. Subsymbolic example: Neural Networks I (data representation)
4. Subsymbolic Knowledge Part – cont.:1. Neural Networks II (data manipulation)
2. Adaptive Systems, invited talk: Genetic Algorithms
Concept map of relations between course parts
Adaptive System
User Modeling system
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SystemIS-A
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Concept map of relations between course parts
Adaptive System
User Modeling system
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Data modeling
Data manipulation
SystemIS-A
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uses
uses
Concept map of relations between course parts
Adaptive System
User Modeling system
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Data modeling
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SystemIS-A
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TechniqueIS-A
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uses
Concept map of relations between course parts
Adaptive System
User Modeling system
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Data modeling
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SystemIS-A
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Concept map
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Rulebase
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Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Concept map
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Rulebase
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Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Concept map
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Rulebase
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Type
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Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Concept map
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Rulebase
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Type
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Sub-Symbolic
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Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Concept map
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Rulebase
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Concept map of relations between course parts
Data modeling
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TechniqueIS-A
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of-a
NN ??
Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Type
Symbolic
Sub-Symbolic
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of-a
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Concept map of relations between course parts
Data modeling
Data manipulation
TechniqueIS-A
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Sub-Symbolic
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Project work parts
1. Presentation theoretical framework MOT: LAOS, LAG
2. Presentation MOT
3. Presentation project assignments
4. Group work
5. Project and results presentation and evaluation
Relationship between theory and praxis
Adaptive System
User Modeling system
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SystemIS-A
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Data modeling
Data manipulation
TechniqueIS-A
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Relationship between theory and praxis
Adaptive System
User Modeling system
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SystemIS-A
IS-A LAOS
LAG
Data modeling
Data manipulation
TechniqueIS-A
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uses
uses
Relationship between theory and praxis
Adaptive System
User Modeling system
IS-A
SystemIS-A
IS-A LAOS
LAG
Data modeling
Data manipulation
TechniqueIS-A
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specifies
uses
uses
specifies
Relationship between theory and praxis
Adaptive System
User Modeling system
IS-A
SystemIS-A
IS-A LAOS
LAG
Data modeling
Data manipulation
TechniqueIS-A
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specifies
uses
uses
uses
specifies
Relationship between theory and praxis
Adaptive System
User Modeling system
IS-A
SystemIS-A
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MOT
LAOS
LAG
Data modeling
Data manipulation
TechniqueIS-A
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specifies
uses
uses
implements
implementsuses
specifies