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Artificial Intelligence Tibor Bosse FACULTY OF SCIENCES.

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Presentation on theme: "Artificial Intelligence Tibor Bosse FACULTY OF SCIENCES."— Presentation transcript:

1 Artificial Intelligence Tibor Bosse FACULTY OF SCIENCES

2 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

3 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

4 Specialisations Cognitive Science Human Ambience (started 2010/11)‏ Computational Intelligence & Selforganisation Technical Artificial Intelligence Knowledge Technology & Intelligent Internet Applications International Semantic Web Master

5 Cognitive Science (Co-operation between FPP en FEW)

6 What is Cognitive Science? Two main goals: AI  Psy (Use AI-techniques to study cognitive processes)‏ Psy  AI (Use cognitive processes to make computers more intelligent)‏

7 AI  Psychology The approach (roughly): 1.Starting point: Psychological theory 2.Formalise as a Computer model 3.Make predictions based on this model 4.Compare predictions with reality (empirical data)‏ 5.Difference: Improve theory

8 AI  Psychology: Master Project Master Project: Rianne van Lambalgen Supervisors: Sander Los (Psy) & Tibor Bosse (AI)‏ Result: computer model for conditioning –Kind of associative learning –Example: reaction to starting signal (“ready…go”)‏

9 AI  Psychology: Master Project

10 What is Cognitive Science? Two main goals: AI  Psy (Use AI-techniques to study cognitive processes)‏ Psy  AI (Use cognitive processes to make computers more intelligent)‏

11 Psychology  AI Approach (roughly): 1.Inspiration: Psychological theory 2.Formalise as a computer model 3.Integrate model into system –To exhibit human behaviour (eg Computer person)‏ –To provide knowledge about humans (eg Personal Assistant)‏ 4.Evaluate the system’s behaviour

12 Psychology  AI: Master Project Master Project: Jeremy Soumokil Supervisor: Mark Hoogendoorn Goal: build an opponent for an online game, who anticipates players’ moves. Method: using the concept “Theory of Mind” –Reason about what the player is thinking –Predict actions of the player, and anticipate on this

13 Psychology  AI: Master Project Screenshot

14 Psychology  AI: Master Project Game setting

15 Psychology  AI: Master Project BDI model

16 Human Ambience (started 2010-2011)‏

17 What is Human Ambience‏? New Master program Based on the idea of ‘Ambient Intelligence’ Develop an Intelligent Environment, which supports the human in his/her daily life Intelligent Car Intelligent House Intelligent Workspace Intelligent Phone …

18 Human Ambience‏ - Courses –  30 ECTS specialisation in discipline or topic Criminology Health Mental functioning Movement sciences Social functioning –Specific Human Ambience courses: HA Innovation Model-Based Intelligent Environments

19 Computational Intelligence and Self Organisation Ziezo!

20 What is CISO? Two main themes: Computational Intelligence Evolutionary Computing Data Mining Techniques Self-organising distributed systems Advanced Selforganisation Model and Analyse these systems

21 Inspiration – Bird Flocking

22 Different Profiles Biology –Dynamic Energy Budgets, Evolutionary genetics, Evolutionary Biology Bio-informatics –Algorithms for Genomes, Bioinformatics data analysis and tools, Intercellular Networks, Computational Genomics and Proteomics Computer systems –Distributed Systems, Cluster and Grid Computing, Distributed Algorithms Knowledge representation –Intelligent Web Applications, Ontology Engineering

23 CISO: Example Master Project Master Project: Self-organised train dispatching Supervisor: Martijn Schut Organisation: Nederlandse Spoorwegen (NS) Goal: Reducing secondary delay Problem: too complex to plan Solution: self-organisation, modelling...

24 Technical Artificial Intelligence

25 What is Technical AI? Only for students with Ba Computer Science! AI: trying to realise human intelligence on a computer AI: different perspectives –cognitive   psychology –theoretical  logic –technical  computer science

26 Goals TAI Getting familiar with developments within AI and CS Learning how to make Intelligent Applications Design eg. A knowledge based system A multi-agent system A learning system …

27 TAI: Example Master Project Master Project: Sven Stam Supervisor: Tibor Bosse Goal: design ‘norm enforcing’ agent to prevent bullying in virtual societies Method: agent-based modelling ‘follow’ detection module language processing module reputation maintainance module

28 TAI: Example Master project Screenshot

29 Knowledge Technology and Intelligent Internet Applications (KTIIA)‏

30 The programme focuses on knowledge technology: the technical aspects of designing knowledge systems knowledge management: organisational aspects of knowledge creation, distribution, application and maintenance applications of techniques from knowledge technology and knowledge management to the Internet. What is KTIIA?

31 Example projects: an academic hospital: modelling of medical protocols for illnesses of infants an Internet company: recommendations about products on the Web an accountancy checking for: fraud detection a personal start-up: knowledge-based advisor for stopping with smoking Dutch search engine company: Semantic Web search engine

32 WEB as a big knowledge base: “Semantic Web” Techniques from AI are crucial for this new generation of the Web. Semantic Web Hot!

33 KTIIA: Example Master Project ‏ Project: Jacopo Urbani Supervisor: Frank van Harmelen Goal: reasoning over billions of information units on the web of data Tool: using cluster of 100s of machines –Split data –Do reasoning on parts of the data –Shuffle data around... Result: fastest existing reasoner with webdata

34 KTIIA: Example Master Project ‏

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36 European Academy for Semantic- Web Education (EASE) European-level Master of Science (MSc)‏

37 Wouldn’t this be nice? (I)‏ Shared Master = Double Degree

38 Wouldn’t this be nice? (II)‏ Lisboa Amsterdam Trento Bolzano Madrid See other countries? Innsbruck Karlsruhe

39 Amsterdam I don’t mean … Lisboa Trento Bolzano Innsbruck Karlsruhe Madrid

40 Learn from the “Think Tanks” in SW Lisboa Amsterdam Trento Bolzano Madrid Innsbruck Get a more complete picture Karlsruhe

41 Master Project Advanced Modules Curriculum of the Shared Master Basic Modules Advanced Modules TrentoBolzano Madrid Karlsruhe Amsterdam

42 Specialisations Cognitive Science Human Ambience (started 2010/11)‏ Computational Intelligence & Selforganisation Technical Artificial Intelligence Knowledge Technology & Intelligent Internet Applications International Semantic Web Master

43 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

44 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

45 General Facts 2 years 120 ects: 30 ects - for a graduation project Optional space depends on variant 25-45 ects Many other departments involved (Economy, Law, Linguistics, Psychology, Biology, Philosophy, Social Sciences)‏

46 General Facts For each variant mandatory (24 ects): –Knowledge management and Modelling –Evolutionary Computing –Behaviour Dynamics –Qualitative research Methods –Scientific Writing in English (+ graduation project 30 ects)‏

47 Graduation project Last 6 months – Master Project 30 credit points Internal or External End product: Master Thesis

48 Job perspectives Examples: –Development of intelligent websites –Management of knowledge within organisations –Development of virtual agents in (serious) games –Consultancy on different aspects of planning –Various data-mining applications –Development of support systems for elderly –Development of support systems for medical patients –… Both Companies and Research Own Company University

49 Summary This is more information than you can grasp Go to: http://www.few.vu.nl/onderwijs/masters/ai/

50 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

51 Overview Master Specialisations General facts Duration, Credit Points, … Graduation project Job perspectives Financial Issues

52 Pre-master: tuition fee and study duration In 2011-2012, students can follow a Pre-master by paying a fee that is equal to the ‘wettelijk tarief’: € 1732. This pre-master year does not count for the ‘nominal study duration’. From 2011-2012 the rules will change. As soon as we know more, you will find this on www.vu.nl/collegegeld. Advice: finish your Pre- master in ’11/’12! Plans: students who study longer than the nominal study duration, will pay an increased tuition fee. Nominal study duration for HBO students = HBO + 1 additional year and Master + 1 additional year

53 Master: tuition fee and study duration Any student who wants to do a second Master, will have to pay ‘instellingscollegegeld’ (= € 12.000 per year) If you are doing two Masters simultaneously, then this will NOT hold, as long as both Masters are finished before September 2013. Plans: students who study longer than the nominal study duration, will pay an increased tuition fee (about € 3000 extra). Nominal study duration = standard duration of Bachelor + 1 year and standard duration of Master + 1 year The ‘wettelijk tarief’ is € 1732.

54 Questions and Up-to-date Information Stand of the Student Administration www.vu.nl/collegegeld studentenbalie@dienst.vu.nl


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