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Introduction to Artificial Intelligence & Expert Systems




                    Notes          Universal Elimination (or Universal Instantiation)
                                                  ∀α ϕ
                                                 ϕβ   )
                                                   ( α
                                   Restriction: No free occurrence of α in ϕ falls within the scope of a quantifier quantifying a
                                   variable occurring in β.
                                   Existential Introduction (or Existential Generalization)
                                                 ϕβ   )
                                                   ( α
                                                  ∃α ϕ
                                   Restriction: No free occurrence of α in ϕ falls within the scope of a quantifier quantifying a
                                   variable occurring in β.
                                   Existential Elimination (or Existential Instantiation)
                                                 ∃α ϕ
                                                 ϕβ   )  ψ
                                                   ( α
                                                 ψ
                                   Restriction 1: No free occurrence of α in ϕ falls within the scope of a quantifier quantifying a
                                   variable occurring in β.
                                   Restriction 2: There is no occurrence, free or bound, of β in ψ.


                                          Example 1: Let us consider the following assumptions: “If it rains today, then we will not
                                   go on a canoe today. If we do not go on a canoe trip today, then we will go on a canoe trip
                                   tomorrow. Therefore (Mathematical symbol for “therefore” is ∴), if it rains today, we will go on
                                   a canoe trip tomorrow. To make use of the rules of inference in the above table p we let be the
                                   proposition “If it rains today”, q be “ We will not go on a canoe today” and let r be “We will go
                                   on a canoe trip tomorrow”. Then this argument is of the form:

                                                  p → q
                                                  q  → r
                                   ∴
                                                  p → r


                                          Example 2: Let us consider a more complex set of assumptions: “It is not sunny today and
                                   it is colder than yesterday”. “We will go swimming only if it is sunny”, “If we do not go
                                   swimming, then we will have a barbecue”, and “If we will have a barbecue, then we will be
                                   home by sunset” lead to the conclusion “We will be home before sunset.” Proof by rules of
                                   inference: Let p be the proposition “It is sunny this today”, q the proposition “It is colder than
                                   yesterday”, r the proposition “We will go swimming”, s the proposition “We will have a
                                   barbecue”, and t the proposition “We will be home by sunset”. Then the hypotheses become
                                   ¬p ∧ q, r → p, ¬r → s and s → t. Using our intuition we conjecture that the conclusion might be
                                   t. Using the Rules of Inference table, we can proof the conjecture easily:

                                       Step      Reason
                                   1.  ¬p ∧ q    Hypothesis
                                   2.  ¬p        Simplification using Step 1
                                   3.  r → p     Hypothesis






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