CSC384: Intro to Artificial Intelligence, Study notes of Artificial Intelligence

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Welcome to CSC384: Intro to Artificial Intelligence

CSC384: Intro to Artificial Intelligence

Winter 2014

Instructor: Prof. Sheila McIlraith

Lectures/Tutorials:

 Monday 1-2pm WB 116

 Wednesday 1-2pm SF 1105

 Friday* 1-2pm WB 116

• The Friday hour will be a continuation of the lecture period and/or time to go over extra examples and questions. Don’t plan to miss it!

Office Hours:

 Let’s discuss now

CSC384: Prerequisites

 Prerequisites will not be checked for this course,

except for the CGPA (cumulative grade point average).

 You don’t need to request a waiver.  You should have a stats course either the standard STA 247/255/257 or at least something like STA 250.  You need to have some familiarity with Prolog, CSC324 is the standard prerequisite. We will provide 1 tutorial on Prolog.  In all cases if you do not have the standard prerequisites * you will be responsible* for covering any necessary background on your own.

CSC384: Website

 Course web site

http://www.cs.toronto.edu/~sheila/384/w14/

 Primary source of more detailed information, announcements, etc.  Check the site often (at least every one or two days).  Updates about assignments, clarifications etc. will also be posted on the web site.

 Course bulletin board (will not be moderated)

https://csc.cdf.toronto.edu/csc384h1s

CSC384: How you will be graded

Course work:  3 Assignments (mostly programming, some short answer) (35 %)  1 term tests (30% )  1 final exam (35 % )

Late Policy/Missing Test:  You will have 2 grace days. Use them wisely!  After that, you will be penalized for late assignments.  For some assignments there may be a cut-off date after which assignments will no longer be accepted.

Plagiarism: (submission of work not substantially the student’s own) http://www.cs.toronto.edu/~fpitt/documents/plagiarism.html

Artificial Intelligence (AI)

How to achieve intelligent behaviour

through computational means

Geminoid Robots

Hiroshi Ishiguru

Sheila McIlraith, University of Toronto, Winter 2014^ Osaka University

I showed a video in class of Hiroshi Ishiguru’s geminoid robots. You can find it on youtube (along with many other videos on the geminoid robots).

http://www.youtube.com/watch?v=J71XWkh80nc

Jules – Conversational Robot

Hanson Robotics

I showed excerpts of a video shown in class. You

can find the full video here (and there are lots of other

related videos):

http://www.youtube.com/watch?v=ysU56JzBjTY&list=

PLD261577512C9F720&index=

Are these intelligent?

What about these?

16 16

A few more Watson Stats

• No internet access during the game.
• 200 million pages of structured and unstructured content consuming 4 terabytes of disk storage including the full text of Wikipedia.
• $3 million worth of hardware.
• 2880 POWER7 processor cores and 16 Terabytes of RAM.
• Watson can process 500 gigabytes, the equivalent of a million books, per second.

Do all these successes mean we’re close to

human-level intelligence?

Broad View of AI

 Perception: vision, speech understanding, etc.

 Machine Learning, Neural network

 Natural language understanding

 Robotics

 Reasoning and decision making  OUR FOCUS

 Knowledge representation

 Reasoning (logical, probabilistic)

 Decision making (search, planning, decision theory)

Cognitive Robotics

 Endow robots, (immobots, software agents) with the ability to reason “soundly” about some aspect of the world.

 To do so with higher-level cognitive functions that involve reasoning about goals, perception, actions, and the mental states of other agents.

 Endow robots with some form of commonsense reasoning :

The reasoning that tells you that  Things usually fall down;  When a child is crying they are likely upset and need comforting;  If you’re travelling to San Francisco then your right eyeball is likely travelling with you!