Computational Logic
Lecture 8
Properties of Relational Logic
Michael Genesereth
Autumn 2010
Structures
We can view an interpretation as vector consisting of
a universe of discourse and values for the items in the
signature of the language (when the signat
Computational Logic
Lecture 4
Propositional Resolution
Michael Genesereth
Autumn 2009
Axiom Schema Instances
( )
p (p p)
p (q p)
p (r p )
q (p q)
q (q q)
q (r q )
r (p r)
r (q r)
r (r r )
p (p p p )
p (p q p )
p (p r p)
p (p p p )
p (p q p )
p (p r p )
.
Computational Logic
Lecture 6
Relational Logic Semantics
Michael Genesereth
Autumn 2010
Propositional Logic Semantics
A Propositional logic interpretation is an association
between the propositional constants in a propositional
language and the truth valu
Computational Logic
Lecture 3
Logical Entailment
Michael Genesereth
Autumn 2010
Logical Reasoning
Logical Reasoning relates premises and co ncl usi on
does not say w het her co nclusion is true in general
says co ncl usi on true when ever premises are tru
Computational Logic
Lecture 2
Propositional Logic
Michael Genesereth
Autumn 2009
Complexity
The cherry blossoms in the spring sank.
9/23/10
2
1
Ambiguity
Leland Stanford Junior University
Leland-Stanford
Junior-University?
Leland-Stanford-Junior
Universit
Computational Logic
Lecture 7
Relational Proofs
Michael Genesereth
Autumn 2010
Logical Entailment
A set of premises logically entails a conclusion
( |= ) if and only if every interpretation that
satisfies also satisfies .
2
1
Propositional Interpretation
Computational Logic
Lecture 9
Resolution Preliminaries
Michael Genesereth
Autumn 2010
Resolution Principle
The Resolution Principle is a rule of inference.
Using the Resolution Principle alone (without axiom
schemata or other rules of inference), it is po
ELABORATE WHY WE NEED TO DO TESTING IN EACH PHASES OF SYSTEM DEVELOPMENTS
Before we release an application, it must undergo a thorough testing process to ensure that the
app is working in the manner in which it was intended. There are four main stages of