Slides

Date:	Subject:	Speaker:	Slides:
2005-04-14	Introduction: What is AI?	Prof. Kreitz	(not yet)
2005-04-21	Foundations of AI (1.2., 5-16)		(not yet)
2005-04-28	History of AI (1.3.-1.4, 16-28)		(not yet)
2005-05-12	Rational agents and environments (2.1.-2.3, 32-44)		(not yet)
2005-05-19	Structure of Agents (2.4, 45-54)		(not yet)
2005-05-26	Problem Solving Agents (3.1.-3.2, 59-67)		(not yet)
2005-06-02	Searching for Solutions (3.2.-3.3, 67-73)		(not yet)
2005-06-09	Uninformed Search Strategies (3.4., 74-81)		(not yet)
2005-06-16	Refined Search Strategies (3.5.-3.6, 81-87)		(not yet)
2005-06-23	Weak AI: Can Machines Act Intelligently? (26.1, 947-957)		(not yet)
2005-06-30	Strong AI: Can Machines Really Think? (26.2, 952-960)		(not yet)
2005-07-07	The Ethics and Risks of Developing AI (26.3, 960-965)		(not yet)
2005-07-14	AI: Present And Future (27 968-975)		(not yet)

Presentations

• The chapters and page numbers above refer to the book Fundamentals of Artificial Intelligence by Stuart Russel and Peter Norvig. Students will be expected to give a brief presentation (15-25 minutes) of their topic, to lead a scientific discussion after the talk, and to write a 5-7 page summary that includes the results of the discussion.

  All participants will be expected to have read the text before the presentation and to actively participate in the discussions.

  The course language will be English!

  The dates of the actual presentations may be shifted towards the end of the semester to allow for a discussion of the non-technical issues of the proseminar - understanding structure and content of scientific material, writing scientific documents, preparing an oral presentation, and leading ascientific discussion - during the first few sessions of the course.

  Additional guidelines can be found in Ian Parberrys "Speakers Guide for theoretical computer science"

  All organizational details will be discussed on April 14.