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Artificial Intelligence 0. Course Overview

Artificial Intelligence 0. Course Overview. Course IAT813 Simon Fraser University Steve DiPaola Material adapted : S. Colton / Imperial C. Designed Especially for You. Designed for Mixed Graduate Students Broad coverage of topics Less background in computing, e.g., logic

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Artificial Intelligence 0. Course Overview

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  1. Artificial Intelligence0. Course Overview Course IAT813 Simon Fraser University Steve DiPaola Material adapted : S. Colton / Imperial C.

  2. Designed Especially for You • Designed for Mixed Graduate Students • Broad coverage of topics • Less background in computing, e.g., logic • Attempt to avoid complex maths • Focus on algorithmic details • Material adapted: upcoming book by Colton, UK

  3. Quick Questions about AI • What is Artificial Intelligence? • Tough question (because AI is young) • Quick answer: getting machines to do smart things • Where did Artificial Intelligence originate? • AI is not “owned” by computer science • Origins in (at least): math, logic, computer science, philosophy, psychology, cognitive science, biology • Understanding intelligence one of the oldest questions • Turing introduced AI notions in his seminal work • “AI” coined by John McCarthy in Dartmouth, 1956

  4. Common Misconceptions • From popular science/science fiction/media • Robots will take over the earth • Kevin Warwick • Computers will never be intelligent • Roger Penrose • Humans will choose to become computers • Ray Kurzweil • Computers will evolve to be human • Mark Jeffery

  5. Course Aims • Assumption: • You will be going off to industry/academia • Will come across computational problems • requiring intelligence (in humans and computers) to solve • Two aims: • Give you an understanding of what AI is • Aims, abilities, methodologies, applications, … • Equip you with techniques for solving problems • By writing/building intelligent software/machines

  6. Course Overview: four areas • AI fundamentals • Characterisations, terminology, methodologies • Representation and search • Application to game playing • Automated reasoning (deduction) • Socrates was mortal • Machine learning (induction) • Every man has died, so we all die • Evolutionary algorithms • Breed your own programs

  7. Administration • My details • Steve DiPaola (sdipaola@sfu.ca), office 2nd fl 2808 • Course Website: • http://www.sfu.ca/iat813 • Course details • Seminar Thurs 2:30 - 5:20PM • Room 2990 Office Hours Thurs 1pm-

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