tic properties interpretation In this question, we will explore the seman- of propositional Horn clauses. For any set of clauses S, define Is to be the that satisfies an atom p if and only if S = p. • Show that if S is a set of positive Horn clauses, then Is = S. • Give an example of a set of clauses S where Is S. Suppose that S is a set of positive Horn clauses and that c is a negative Horn clause. Show that if Is c then SU{c} is unsatisfiable. Suppose that S is a set of positive Horn clauses and that T is a set of negative ones. Using part (c), show that if SU{c} is satisfiable for every c E T, then SUT is satisfiable also. • In the propositional case, the normal Prolog interpreter can be thought of as taking a set of positive Horn clauses S (the program) and a single negative clause c (the query) and determining whether or not SU{c} is satisfiable. Use part (d) to conclude that Prolog can be used to test the satisfiability of an arbitrary set of Horn Clauses.
tic properties interpretation In this question, we will explore the seman- of propositional Horn clauses. For any set of clauses S, define Is to be the that satisfies an atom p if and only if S = p. • Show that if S is a set of positive Horn clauses, then Is = S. • Give an example of a set of clauses S where Is S. Suppose that S is a set of positive Horn clauses and that c is a negative Horn clause. Show that if Is c then SU{c} is unsatisfiable. Suppose that S is a set of positive Horn clauses and that T is a set of negative ones. Using part (c), show that if SU{c} is satisfiable for every c E T, then SUT is satisfiable also. • In the propositional case, the normal Prolog interpreter can be thought of as taking a set of positive Horn clauses S (the program) and a single negative clause c (the query) and determining whether or not SU{c} is satisfiable. Use part (d) to conclude that Prolog can be used to test the satisfiability of an arbitrary set of Horn Clauses.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question

Transcribed Image Text:In this question, we will explore the seman-
tic properties of propositional Horn clauses. For any set of clauses S, define Is to be the
interpretation that satisfies an atom p if and only if S = p.
• Show that if S is a set of positive Horn clauses, then Is = S.
• Give an example of a set of clauses S where Is S.
●
Suppose that S is a set of positive Horn clauses and that c is a negative Horn clause.
Show that if Is c then SU{c} is unsatisfiable.
Suppose that S is a set of positive Horn clauses and that T is a set of negative ones.
Using part (c), show that if SU{c} is satisfiable for every c E T, then SUT is satisfiable
also.
• In the propositional case, the normal Prolog interpreter can be thought of as taking a set
of positive Horn clauses S (the program) and a single negative clause c (the query) and
determining whether or not SU{c} is satisfiable. Use part (d) to conclude that Prolog
can be used to test the satisfiability of an arbitrary set of Horn Clauses.
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps

Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you

Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education

Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON

Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON

Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education

Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON

Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON

C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON

Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning

Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education