f6c5d16f63
how to deal with it is a solver problem, not an app issue. |
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evidence_128.yap | ||
parlearn.yap | ||
README | ||
sample32.yap | ||
schema.yap | ||
school_32.yap | ||
school_64.yap | ||
school_128.yap | ||
tables.yap |
This is a version of the school database, based on the PRM School example. There are four main files: school_128.yap: a school with 128 professors, 256 courses and 4096 students. school_64.yap: medium size school school_32.yap: small school schema.yap: the schema tables: CPTs professor_ability(p0,X). professor_popularity(p0,X). professor_ability(p0,X), professor_popularity(p0,h). professor_ability(p0,h), professor_popularity(p0,X). registration_grade(r0,X). registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,h). registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,h), registration_student(r0,S), student_intelligence(S,h). registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,l), registration_student(r0,S), student_intelligence(S,h). registration_satisfaction(r0,X). registration_satisfaction(r0,X), registration_student(r0,S), student_intelligence(S,h). registration_satisfaction(r0,X), registration_grade(r0,a). registration_satisfaction(r0,X), registration_grade(r0,d). registration_satisfaction(r0,h), registration_grade(r0,X). course_rating(c0,X). course_rating(c0,h), course_difficulty(c0,X). course_difficulty(c0,X). student_ranking(s0,X). student_ranking(s0,X), student_intelligence(s0,h).