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Using Definite Knowledge

Use Poole et al.'s definitive knowledge notes for structuring university rules in a database with recursive logic rules. Explore satisfying degree requirements, core courses, and elective fulfillment. Build upon the examples of representing regulatory knowledge to ensure students meet necessary criteria for graduation.

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Using Definite Knowledge

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  1. Using Definite Knowledge Notes for Ch.3 of Poole et al. CSCE 580 Marco Valtorta

  2. Case Study: University Rules • This is an example of representing regulatory knowledge. • (Another great example: Sergot, M.J. et al., “The British Nationality Act as a Logic Program.” CACM, 29, 5 (may 1986), 370-386.) • DB of relations about the university (univ.pl) • Rules about satisfying degree requirements (univ.pl) • Lists are used (lists.pl)

  3. Some facts • grade(St, Course, Mark) • dept(Dept,Fac) • We would say College, not Faculty • course(Course, Dept, Level) • core_courses(Dept,CC, MinPass) • CC is a list

  4. A Rule • satisfied_degree_requirements(St,Dept) <- covers_core_courses(St,Dept) & dept(Dept, Fac) & satisfies_faculty_req(St, Fac) & fulfilled_electives(St, Dept) & enough_units(St, Dept).

  5. More Rules • Covers_core_courses(St, Dept) <- core_courses(dept, CC, MinPass) & passed_each(CC, St, MinPass)

  6. More Rules • passed(St, C, MinPass) <- grade(St, C, Gr) & Gr >= MinPass. • A recursive rule that traverses a list. • passed_each([], S, M). • passed_each([C|R], St, MinPass) <- passed(St, C, MinPass) & passed_each(R, St, MinPass).

  7. More Rules • passed_one(CL, St, MinPass) <- member(C, CL) & passed(St, C, MinPass).

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