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intro - Artificial Intelligence II Spring 2011 Paul...

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Artificial Intelligence II Spring 2011 Paul Schrater
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General Information Course Number: CSci 5512 Class: M W 4:00-05:15 pm Web page: http://www-users.itlabs.umn.edu/ classes/Spring- 2010/csci5512 – Or go to www.schrater.org – Click on schrater’s homepage – Follow the AII 2 courselink
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Course Content: * Uncertainty (Chapter 13) * Probabilistic Reasoning, Bayesian Networks (Chapter 14) * Probabilistic Reasoning over Time (Chapter 15) * Making Simple Decisions (Chapter 16) * Making Complex Decisions, Markov Decision Processes (Chapter 17) * Learning from Observations (Chapter 18) * Statistical Learning Methods (Chapter 20) * Reinforcement Learning (Chapter 21) * If time, Language, Vision and Robotics (Chaps 22, 23, 24)
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Coursework • Homeworks – There will be 4 – First one is posted and due in a week – Submit using the submit tool! – Writeup format: PDF – Programming: your choice- matlab, java, or C – Individual submission – and include names of people you discuss problems with One midterm One final project
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Homework Schedule Homework Post Date Due Date Due Time Total Time HW1 Wed, Jan 19 Wed, Jan 26 4 pm 7 days HW2 Mon, Feb 21 Mon, Mar 8 4 pm 14 days HW3 Mon, Mar 28 Mon, Apr 11 4 pm 14 days HW4 Mon, Apr 18 Mon, May 2 4 pm 14 days
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Grading • Homework: 50 % = 4 × 12.5 % • Mid-Term: 20 % Final Project: 30%
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Final Project Final Project Assignment: Your final project will involve one of the following 1) Simulation or experiments. 2) Literature survey (with critical evaluation) on a given topic. 3) Theoretical work (detailed derivations, extensions of existing work, etc) The project schedule is: Feb. 24: Topic selection. One or two pages explaining the project with a list of references. May 9: Final report (10 to 15 pages).
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Final Project In all cases, the work should be written up as a 10-15 page paper. More difficult projects will get better grades if sucessfully completed. You will be evaluated in terms of the care with which you set up and thought through the goals and implementation, and in terms of the competence of the execution. Regardless of form the write up must include a survey of related literature results. This survey counts for 30% of your project grade and should show your ability to independently find, read, understand, and summarize papers in the primary literature related to your project topic.
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Autonomous Agents Artificial, Deterministic world Agents can be programmed to reason and interact in a known environment Real, stochastic, partially observed world Environmental dynamics and consequences of actions
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