ADAPTIVE SYSTEMS & USER MODELING: course structure revisited Alexandra I. Cristea USI intensive course “Adaptive Systems” April-May 2003

Introduction Course site: Containing: –Course schedule, principles, tasks, etc. Please visit regularly to check for new info!

Module division I. Adaptive Systems & User Modeling course II. Project work

Adaptive System course parts 1.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 Modeling Goal, history, academic developments, I-O issues of UM, techniques, economical developments, future 3.Data representation & manipulation for AS 1.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 IS-A System IS-A

Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A uses

Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A Technique IS-A uses

Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A Technique IS-A uses Concept map IS-A Rule base IS-A

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type of-a

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type Symbolic Sub- Symbolic IS-A of-a

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type Symbolic Sub- Symbolic IS-A of-a IS-A

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN ?

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN IS-A

Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN IS-A

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 IS-A System IS-A Data modeling Data manipulation Technique IS-A

Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A uses

Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses specifies

Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses specifies

Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A MOT LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses implements uses specifies

Relationship between theory and praxis Adaptive Hypermedia User Modeling system IS-A System IS-A MOT LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses implements uses specifies (Adaptive Hypermedia IS-A Adaptive System)