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A valuation assigns values to all of the relevant atomic formulas. With atomic formulas A, B and C, the following are all the valuations. A=0, B=0, C=0 A=0, B=0, C=1 A=0, B=1, C=0 A=0, B=1, C=1 A=1, B=0, C=0 A=1, B=0, C=1 A=1, B=1, C=0 A=1, B=1, C=1 These valuations can be represented in Python…

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A valuation assigns values to all of the relevant atomic formulas.

With atomic formulas A, B and C, the following are all the valuations.

A=0, B=0, C=0

A=0, B=0, C=1

A=0, B=1, C=0

A=0, B=1, C=1

A=1, B=0, C=0

A=1, B=0, C=1

A=1, B=1, C=0

A=1, B=1, C=1

These valuations can be represented in Python as follows.

v0 = []

v1 = [“C”]

v2 = [“B”]

v3 = [“B”,”C”]

v4 = [“A”]

v5 = [“A”,”C”]

v6 = [“A”,”B”]

v7 = [“A”,”B”,”C”]

To check if an atomic formula is true in a valuation, simply check if its name is listed in the corresponding list. This is how the function truthValue(self,v) for the class ATOM is implemented.

Let f1 = ATOM(“A”)

Then f1.truthValue(v1) == True if and only if “A” in v1

The truth-values for other connectives recursively evaluate the subformulas of the formula in question, and the compute the truth-value of the formula itself. Hence for example the following holds.

Let f2 = AND(ATOM(“A”),ATOM(“B”))

Then f2.truthValue(v1) == True if and only f2.subformula1.truthValue(v1) == True and f2.subformula2.truthValue(v2) == True

To test for the satisfiability of a formula F, do the following

1. Generate all valuations (this is exactly the _powerset_ of the set of all relevant atomic formulas). There is the function F.vars() to find the names of all atomic formulas in a formula.

2. Check if there is at least one valuation v such that F.truthValue(v) == True.

Similarly, for logical consequence f1 |= f2 one has to check that for _every_ valuation, either f1 is False under the valuation, or f2 is True under the valuation.

See the Python tips at https://users.aalto.fi/~rintanj1/CS-E4800/PythonHints.html for some of the operations you need in implementing the satisfiability test.

Finding all subsets of a set (represented as lists) can be done in multiple different ways. You can google for Python powerset for how to do it with Python’s itertools, or you can implement a recursive function to compute a list containing all lists that corresponds to the subsets.

def powersetAsList(l):

# The subsets of the empty set consist of the empty set only.

if len(l) == 0:

return [[]]

# Otherwise consider subsets with and without an arbitrary element.

element,*rest = l

# All subsets without ‘element’

subsetsRest = powerset(rest)

# All subsets with and without ‘element’

return [ [element] + subset for subset in subsetsRest ] + subsetsRest

R01LOGIC SOLVED
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