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CSCI 373: Artificial Intelligence

CSCI 373: Artificial Intelligence. Andrea Danyluk September 6, 2013. Who are you? Roster. “Artificial Intelligence”. First thing that comes to mind?. What is “intelligence”? According to Merriam-Webster:

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CSCI 373: Artificial Intelligence

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  1. CSCI 373: Artificial Intelligence Andrea Danyluk September 6, 2013

  2. Who are you? • Roster

  3. “Artificial Intelligence” • First thing that comes to mind?

  4. What is “intelligence”? • According to Merriam-Webster: • The ability to learn or understand or to deal with new or trying situations: the skilled use of reason • The ability to apply knowledge to manipulate one’s environment or to think abstractly as measured by objective criteria (as tests) • What [abilities] does intelligence involve? • Ability to learn • Ability to reason • Ability to apply “knowledge” • Ability to think abstractly • Ability to demonstrate the above skills by • Taking in percepts • Acting (physically or otherwise) Typically derive from our understanding of the most intelligent entities we know: Ourselves.

  5. What is AI? The science of making machines that [CS 188 UC Berkeley]

  6. Rationality • An ideal performance measure; does a system do the “right thing” given what it knows? • Involves a combination of mathematics and engineering.

  7. Goals of “Computational Rationality” • Engineering • To solve real-world problems • To build systems that exhibit rational behavior • Scientific • To understand what kind of computational mechanisms are needed for modeling rational behavior

  8. Logistics • Where/When: Here (TPL 114) on MWF at 10am • Prof: Me (Andrea Danyluk) • Email: andrea@cs.williams.edu • Phone: x2178 • Office: TCL 305 • Office Hours: Pretty much any time my office door is open. And Mon 1:30-3:30, Tues 1:30-2:30, Thurs 1-2 • 373 website: www.cs.williams.edu/~andrea/cs373

  9. What we’ll cover • Making Decisions • Fast search/planning/problem solving • Adversarial search • Constraint satisfaction • Reasoning under uncertainty • Bayes’ nets • Decision theory • Logic • Learning • Reinforcement learning • A bit of supervised classifier learning

  10. Work and grading • Programming assignments (50%) • One tutorial plus five more • Python • Teamwork (required, except for tutorial) • Autograding + code review • “The Pacman Assignments” • Do not – absolutely not – post solutions to any part of these assignments!

  11. Work and grading • Project (25%+10%) • Topic of your choice (with my sign-off) • Short written proposal • Python or Java (some exceptions allowed) • Deliverables • code+demo+presentation (25%) • Paper (10%) • One exam (10%) • Short take-home • Other (5%) • Short response papers • Being here, being engaged, being prepared….

  12. Due dates and lateness • Pacman/machine learning assignments • Up to 4 free late days (can use at most 2 at once) • Project code+demo+presentation • 10% late penalty per day • Paper responses and final paper • Must be submitted on time

  13. Honor Code • Exam: follow the College Honor Code. The work on the exam must be your own work. • Assignments: • Listen carefully • Read the Honor Code Guidelines in the syllabus • When in doubt, ask me

  14. What can AI do? • Play a decent game of chess? • Play a decent game of Jeopardy? • Ambiguity of language • After Governor Baldridge watched the lion perform, he was taken to Main Street and fed twenty-five pounds of red meat in front of the Fox Theater. • Dr. Benjamin Porter visited the school yesterday and lectured on"Destructive Pests". A large number were present. • Play a decent game of table tennis? • Play a decent game of soccer? • What the robot sees [Adapted from Russell]

  15. What can AI do? • Drive safely at high speed? • Drive safely in an urban setting? • Schedule and manage a fleet of luxury limousines for business travelers for one of the largest travel agencies in Hong Kong? • Assist in making grad school admission decisions? • Identify disease outbreaks? • Monitor prescriptions?

  16. What can AI do? • Write a news brief? • Be a punster? • “What do you call a spicy missile? A hot shot!” • What is the difference between leaves and a car?One you brush and rake, the other you rush and brake.

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