Material Covered in Lectures in 2005. Winter.

This material does not cover projects. Look elsewhere to lectures that were related to projects introduced this year.

When I refer below to section or chapter, I mean my slides from WWW Page.

This is only projected material. Sometimes we go faster or slower, depending on class understanding of material.

After completing this class you are able to design your own robot that: (1) communicates in English, (2) avoids obstacles and plans its movements through labyrinth, (3) searches for best solutions, (4) makes simple rational decisions based on rules. In addition, depending on your project, you learn how to design a robot that speaks and sees you using advanced robot vision software.

FIRST WEEK OF CLASS.

1. Lecture 1 from section 1.1. (intro). Lecture 1 from section 1.2. (project).
2. Mandatory Lectures from section 1.2.2.
SECOND WEEK OF CLASS.
3. Lecture 1 from section 1.3. (Lisp).
4. Lecture 2 from section 1.3. (Lisp).
THIRD WEEK OF CLASS.
5. Lecture 3 from section 1.3. (Lisp).
6. Lecture 4 from section 1.3. (Lisp).
7. Lecture 1 from section 1.4. (Search in Lisp)
8. Lecture 2 from section 1.4. (Search in Lisp)
9. Lecture 1 from section 1.4, auxiliary materials (search in Lisp).
10. Lecture 3 from section 1.4, auxiliary materials (search in Lisp).
11. Lectures 1-4 from section 1.5. (machine learning).
12. Lecture 1 from Chapter 4. (agents, natural language, fundamentals).
13. Lecture 2 from Chapter 4. (agents, natural language, fundamentals).
14. Lecture 3 from Chapter 4. (agents, natural language, fundamentals).
15. Lecture 4 from Chapter 4. (agents, natural language, fundamentals).
16. Lecture 1 from Chapter 5. (uninformed search).
17. Lecture 2 from Chapter 5. (informed search).
18. Lecture 1 from Chapter 6. (Wumpus world and Predicate Calculus).
19. Lecture 2 from Chapter 6. (First Order Logic).
20. Lecture 3 from Chapter 6. (Inference in First Order Logic).
21. Lecture 4 from Chapter 6. (Introduction to Knowledge Representation).
22. Lecture 5 from Chapter 6. (Semantic Networks and Logical Reasoning Systems).
23. Lecture 5 from Chapter 6. (Rule Based Deduction Systems and Planning).