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N I V E U R S E I H T T Y O H F G R E U D I B N AI Large Practical Alan Smaill School of Informatics Sep 27 2017 Alan Smaill AI Large Practical Sep 27 2017 1/16 AILP: Course Description N I V E U R S E I H


  1. N I V E U R S E I H T T Y O H F G R E U D I B N AI Large Practical Alan Smaill School of Informatics Sep 27 2017 Alan Smaill AI Large Practical Sep 27 2017 1/16

  2. AILP: Course Description N I V E U R S E I H T T Y O H F G R E U D I B N The official descriptor is on-line: http://www.drps.ed.ac.uk/17-18/dpt/cxinfr09043.htm There is no exam for this course; assessment is entirely on your work during the practical, the programs you write, and your reports of those programs. Alan Smaill AI Large Practical Sep 27 2017 2/16

  3. Course Aims N I V E U R S E I H T T Y O H F G R E U D I B N Most practical work so far has asked you to solve closely specified problems, in a short time frame. AILP asks you to manage your time, and organise how you set about a larger task, where you will play a role in setting the direction of your work, and in reporting on your work. Alan Smaill AI Large Practical Sep 27 2017 3/16

  4. Course Aims N I V E U R S E I H T T Y O H F G R E U D I B N Most practical work so far has asked you to solve closely specified problems, in a short time frame. AILP asks you to manage your time, and organise how you set about a larger task, where you will play a role in setting the direction of your work, and in reporting on your work. This is a small introduction to research, which will involve: Understanding the problem Reading some associated literature Designing an extended computational system. Experimenting and evaluating. Writing a final report on your work, Alan Smaill AI Large Practical Sep 27 2017 3/16

  5. Outline N I V E U R S E I H T T Y O H F G R E U D I B N Assignment Issue Due Weight A1 27 Sep Fri 13 Oct, 16:00 0% A2 4 Oct Fri 11 Nov, 16:00 50% A3 8 Nov Wed 20 Dec, 16:00 50% The final deadline allows for work to be done after all other coursework deadlines have passed. It should be possible to finish well before the AILP deadline above. Alan Smaill AI Large Practical Sep 27 2017 4/16

  6. Sessions N I V E U R S E I H T T Y O H F G R E U D I B N Lectures Wednesday, 9:00 in AT 2.12, weeks 2,3,8,9 and possibly others Lab drop-in sessions will be organised from week 3 Drop-in sessions allow you to ask questions about the assignments in general, and about design and programming issues. Alan Smaill AI Large Practical Sep 27 2017 5/16

  7. Spreading the load N I V E U R S E I H T T Y O H F G R E U D I B N You are expected to budget your own time and pace your work to meet the deadlines. BEWARE: there will be other coursework deadlines falling towards the end of the semester. Remember that the AILP submissions count for more than coursework associated with courses with exams. For most people, the period at the end of the semester will be free from other coursework deadlines. Alan Smaill AI Large Practical Sep 27 2017 6/16

  8. Organisation N I V E U R S E I H T T Y O H F G R E U D I B N Email myself for any issues: smaill@inf.ed.ac.uk I will circulate where it is of general relevance. Does it make sense to have a student rep for the course? Volunteers? Alan Smaill AI Large Practical Sep 27 2017 7/16

  9. Organisation N I V E U R S E I H T T Y O H F G R E U D I B N Email myself for any issues: smaill@inf.ed.ac.uk I will circulate where it is of general relevance. Does it make sense to have a student rep for the course? Volunteers? We will have a Piazza forum associated with this course. Alan Smaill AI Large Practical Sep 27 2017 7/16

  10. Reminder: plagiarism N I V E U R S E I H T T Y O H F G R E U D I B N Claiming someone else’s work as your own is a serious offence within a university; this includes failure to acknowledge where your work is based upon someone else’s work. Alan Smaill AI Large Practical Sep 27 2017 8/16

  11. Reminder: plagiarism N I V E U R S E I H T T Y O H F G R E U D I B N Claiming someone else’s work as your own is a serious offence within a university; this includes failure to acknowledge where your work is based upon someone else’s work. It’s good to discuss problems and ways to solve them with others. But you must: Write your own code; Do your own experiments; Write your own report. More discussion is at http://www.inf.ed.ac.uk/admin/ITO/ DivisionalGuidelinesPlagiarism.html Alan Smaill AI Large Practical Sep 27 2017 8/16

  12. Area of Practical N I V E U R S E I H T T Y O H F G R E U D I B N The area of the practical is in argumentation systems: Alan Smaill AI Large Practical Sep 27 2017 9/16

  13. Area of Practical N I V E U R S E I H T T Y O H F G R E U D I B N The area of the practical is in argumentation systems: Argumentation involves making sense of arguments both for and against some claim or course of action. Examples: Choice of treatment for a patient; Choice of action by a governing body; Legal arguments for guilt or innocence; Individual choice of considered action Alan Smaill AI Large Practical Sep 27 2017 9/16

  14. Area of Practical N I V E U R S E I H T T Y O H F G R E U D I B N The area of the practical is in argumentation systems: Argumentation involves making sense of arguments both for and against some claim or course of action. Examples: Choice of treatment for a patient; Choice of action by a governing body; Legal arguments for guilt or innocence; Individual choice of considered action should I eat the whole tub of ice cream. Alan Smaill AI Large Practical Sep 27 2017 9/16

  15. Exercise 1 N I V E U R S E I H T T Y O H F G R E U D I B N Write down 3 examples of arguments. Reflect on your examples: do the arguments have internal structure, identifiable components? Alan Smaill AI Large Practical Sep 27 2017 10/16

  16. Exercise 2 (debating) N I V E U R S E I H T T Y O H F G R E U D I B N Work with a partner; one of you will be proponent, the other will be opponent. The proponent selects one of his/her examples from Exercise 1, and puts the argument forward. The opponent tries to rebut the argument with a counterargument. Now swap roles. Alan Smaill AI Large Practical Sep 27 2017 11/16

  17. Exercise 3 N I V E U R S E I H T T Y O H F G R E U D I B N In the AILP, we look at something called the Carneades model of argumentation. This is partly motivated by the goal of representing legal arguments. What is the difference between arguments and legal arguments? Try to come up with a few examples of legal arguments. Alan Smaill AI Large Practical Sep 27 2017 12/16

  18. Argumentation N I V E U R S E I H T T Y O H F G R E U D I B N Arguments summarise evidence for and against particular conclusions, or courses of actions. Any decision for one side or the other in an argument does not say that a truth has been discovered, but that one side has stronger evidence than the other. Alan Smaill AI Large Practical Sep 27 2017 13/16

  19. Recommended reading N I V E U R S E I H T T Y O H F G R E U D I B N Look at background paper by Douglas Walton on the background to Argumentation Theory in AI: http: //www.dougwalton.ca/papers in pdf/09ArgShort.pdf For the particular model of legal argumentation we start from: Thomas F. Gordon, Henry Prakken, and Douglas Walton (2007) The Carneades model of argument and burden of proof. http://www.sciencedirect.com/science/article/pii/ S0004370207000677 Alan Smaill AI Large Practical Sep 27 2017 14/16

  20. First assignment N I V E U R S E I H T T Y O H F G R E U D I B N Take a look at the first assignment (not for credit). Alan Smaill AI Large Practical Sep 27 2017 15/16

  21. next week N I V E U R S E I H T T Y O H F G R E U D I B N Meet at 09:00, same venue; An early look at the second assignment (for credit) Alan Smaill AI Large Practical Sep 27 2017 16/16

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