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Intro to CSCI 323

Intro to CSCI 323. Prof. Aditya K. Ghose Director Decisions Systems Lab School of IT & Computer Science University of Wollongong. Agenda. Who am I? More importantly, who are you? Class admin A brief discussion of what we will cover in this subject Introduction to AI. My CV (!!).

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Intro to CSCI 323

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  1. Intro to CSCI 323 Prof. Aditya K. Ghose Director Decisions Systems Lab School of IT & Computer Science University of Wollongong

  2. Agenda • Who am I? • More importantly, who are you? • Class admin • A brief discussion of what we will cover in this subject • Introduction to AI

  3. My CV (!!) • PhD (Computing Science): University of Alberta, Canada • MSc (Computing Science): University of Alberta, Canada • Bachelor of Computer Science and Engineering: Jadavpur University, India • Other places I’ve worked at: • Simon Fraser University, Vancouver, Canada • University of Tokyo • University of Sydney

  4. My research • Artificial intelligence: • Formal knowledge representation and reasoning • Constraint programming and its applications • Agent technology and its applications • Other: • Requirements engineering • Business process management • Service-oriented computing • Supply chain management

  5. Research funding • Approx. $1.2 million in research funding • Funding sources: • Australian Research Council • Japanese Institute for Advanced Information technology • BHP Information Technology (current CSC) • Bluescope Steel • CSIRO Mathematical and Information Sciences • NSW State Emergency Services • EDMEN • Other organizations I work with: Pillar Administration, GS1 Australia

  6. My research lab: The Decision Systems Laboratory • A cross-department, cross-faculty research laboratory spanning the School of IT and Computer Science and the Information Systems Discipline in Commerce

  7. Class admin • Read the subject outline • Consult the subject webpage frequently (URL in subject outline) • Attend all lectures • Attend all tutes • Talk to me frequently (preferably during consulting hours – but at other times if it is urgent) • Read the text carefully

  8. Other things you could do • Think creatively: • This is interesting stuff – what can I do with it? • Is there a research idea I can commercialize? • Attend research seminars, e.g., Café DSL, SITACS Student Seminars etc. • Attend industry events (DSL will organize a few over this semester) • Read a lot – over and above what is required for this class • Think a lot….

  9. So what will we learn? • How to represent knowledge • How to reason with knowledge • Expert-level problem solving with knowledge-based systems • Using search techniques to solve hard problems • Game-playing (e.g., chess, checkers..) • Planning • Intelligent agents • Applications of agent technology • In supply chains • In software engineering • In computer games • In business process management (and flexible process execution systems) • In service-oriented computing

  10. AI: Two schools of thought • Strong AI: mimic and re-create human intelligence • Weak AI: solve hard problems by drawing inspiration from human intelligence (and other forms of intelligence!)

  11. AI Prehistory • Roots of AI lie in the mathematical/philosophical thinking of the ancient civilizations of India, Greece, Egypt, East Asia… • Charles Babbage (late 1800s) • Alan Turing (then a code-breaker at Bletchley Park, UK during World War II) talked about machine intelligence, neural networks, chess, Go etc. His paper on “COMPUTING MACHINERY AND INTELLIGENCE” begins with: “I PROPOSE to consider the question, 'Can machines think?' …”

  12. “Artificial Intelligence”: The Dartmouth Conference (1/2) Over the holidays 50 years ago, two scientists hatched artificial intelligence. By Byron Spice. post-gazette.com (January 2, 2006). "Fifty years ago, Herbert A. Simon and Allen Newell had a Christmas break story that would top them all. 'Over the Christmas holiday,' Dr. Simon famously blurted to one of his classes at Carnegie Institute of Technology, 'Al Newell and I invented a thinking machine.' It was another way of saying that they had invented artificial intelligence -- in fact, the only way of saying it in the winter of 1955-56 because no one had gotten around to inventing the term 'artificial intelligence.'"

  13. “Artificial Intelligence”: The Dartmouth Conference (2/2) A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. J. McCarthy, M. L. Minsky, N. Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." And this marks the debut of the term "artificial intelligence."

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