TSTP Solution File: PUZ131+1 by Twee---2.4.2

View Problem - Process Solution

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% File     : Twee---2.4.2
% Problem  : PUZ131+1 : TPTP v8.1.2. Released v4.1.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : parallel-twee %s --tstp --conditional-encoding if --smaller --drop-non-horn --give-up-on-saturation --explain-encoding --formal-proof

% Computer : n015.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Thu Aug 31 13:24:22 EDT 2023

% Result   : Theorem 0.23s 0.44s
% Output   : Proof 0.23s
% Verified : 
% SZS Type : -

% Comments : 
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%----WARNING: Could not form TPTP format derivation
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%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.14  % Problem  : PUZ131+1 : TPTP v8.1.2. Released v4.1.0.
% 0.00/0.15  % Command  : parallel-twee %s --tstp --conditional-encoding if --smaller --drop-non-horn --give-up-on-saturation --explain-encoding --formal-proof
% 0.15/0.36  % Computer : n015.cluster.edu
% 0.15/0.36  % Model    : x86_64 x86_64
% 0.15/0.36  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.15/0.36  % Memory   : 8042.1875MB
% 0.15/0.36  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.15/0.36  % CPULimit : 300
% 0.15/0.36  % WCLimit  : 300
% 0.15/0.36  % DateTime : Sat Aug 26 22:58:23 EDT 2023
% 0.15/0.37  % CPUTime  : 
% 0.23/0.44  Command-line arguments: --set-join --lhs-weight 1 --no-flatten-goal --complete-subsets --goal-heuristic
% 0.23/0.44  
% 0.23/0.44  % SZS status Theorem
% 0.23/0.44  
% 0.23/0.44  % SZS output start Proof
% 0.23/0.45  Take the following subset of the input axioms:
% 0.23/0.45    fof(coordinator_teaches, axiom, ![X]: (course(X) => teaches(coordinatorof(X), X))).
% 0.23/0.45    fof(csc410_type, axiom, course(csc410)).
% 0.23/0.45    fof(michael_enrolled_csc410_axiom, axiom, enrolled(michael, csc410)).
% 0.23/0.45    fof(michael_type, axiom, student(michael)).
% 0.23/0.45    fof(student_enrolled_taught, axiom, ![Y, X2]: ((student(X2) & course(Y)) => (enrolled(X2, Y) => ![Z]: (professor(Z) => (teaches(Z, Y) => taughtby(X2, Z)))))).
% 0.23/0.45    fof(teaching_conjecture, conjecture, taughtby(michael, victor)).
% 0.23/0.45    fof(victor_coordinator_csc410_axiom, axiom, coordinatorof(csc410)=victor).
% 0.23/0.45    fof(victor_type, axiom, professor(victor)).
% 0.23/0.45  
% 0.23/0.45  Now clausify the problem and encode Horn clauses using encoding 3 of
% 0.23/0.45  http://www.cse.chalmers.se/~nicsma/papers/horn.pdf.
% 0.23/0.45  We repeatedly replace C & s=t => u=v by the two clauses:
% 0.23/0.45    fresh(y, y, x1...xn) = u
% 0.23/0.45    C => fresh(s, t, x1...xn) = v
% 0.23/0.45  where fresh is a fresh function symbol and x1..xn are the free
% 0.23/0.45  variables of u and v.
% 0.23/0.45  A predicate p(X) is encoded as p(X)=true (this is sound, because the
% 0.23/0.45  input problem has no model of domain size 1).
% 0.23/0.45  
% 0.23/0.45  The encoding turns the above axioms into the following unit equations and goals:
% 0.23/0.45  
% 0.23/0.45  Axiom 1 (victor_coordinator_csc410_axiom): coordinatorof(csc410) = victor.
% 0.23/0.45  Axiom 2 (michael_type): student(michael) = true.
% 0.23/0.45  Axiom 3 (victor_type): professor(victor) = true.
% 0.23/0.45  Axiom 4 (csc410_type): course(csc410) = true.
% 0.23/0.45  Axiom 5 (michael_enrolled_csc410_axiom): enrolled(michael, csc410) = true.
% 0.23/0.45  Axiom 6 (coordinator_teaches): fresh10(X, X, Y) = true.
% 0.23/0.45  Axiom 7 (student_enrolled_taught): fresh15(X, X, Y, Z) = true.
% 0.23/0.45  Axiom 8 (student_enrolled_taught): fresh13(X, X, Y, Z) = taughtby(Y, Z).
% 0.23/0.45  Axiom 9 (coordinator_teaches): fresh10(course(X), true, X) = teaches(coordinatorof(X), X).
% 0.23/0.45  Axiom 10 (student_enrolled_taught): fresh14(X, X, Y, Z) = fresh15(student(Y), true, Y, Z).
% 0.23/0.45  Axiom 11 (student_enrolled_taught): fresh12(X, X, Y, Z, W) = fresh13(professor(W), true, Y, W).
% 0.23/0.45  Axiom 12 (student_enrolled_taught): fresh11(X, X, Y, Z, W) = fresh14(course(Z), true, Y, W).
% 0.23/0.45  Axiom 13 (student_enrolled_taught): fresh11(teaches(X, Y), true, Z, Y, X) = fresh12(enrolled(Z, Y), true, Z, Y, X).
% 0.23/0.45  
% 0.23/0.45  Goal 1 (teaching_conjecture): taughtby(michael, victor) = true.
% 0.23/0.45  Proof:
% 0.23/0.45    taughtby(michael, victor)
% 0.23/0.45  = { by axiom 8 (student_enrolled_taught) R->L }
% 0.23/0.45    fresh13(true, true, michael, victor)
% 0.23/0.45  = { by axiom 3 (victor_type) R->L }
% 0.23/0.45    fresh13(professor(victor), true, michael, victor)
% 0.23/0.45  = { by axiom 11 (student_enrolled_taught) R->L }
% 0.23/0.45    fresh12(true, true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 5 (michael_enrolled_csc410_axiom) R->L }
% 0.23/0.45    fresh12(enrolled(michael, csc410), true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 13 (student_enrolled_taught) R->L }
% 0.23/0.45    fresh11(teaches(victor, csc410), true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 1 (victor_coordinator_csc410_axiom) R->L }
% 0.23/0.45    fresh11(teaches(coordinatorof(csc410), csc410), true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 9 (coordinator_teaches) R->L }
% 0.23/0.45    fresh11(fresh10(course(csc410), true, csc410), true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 4 (csc410_type) }
% 0.23/0.45    fresh11(fresh10(true, true, csc410), true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 6 (coordinator_teaches) }
% 0.23/0.45    fresh11(true, true, michael, csc410, victor)
% 0.23/0.45  = { by axiom 12 (student_enrolled_taught) }
% 0.23/0.45    fresh14(course(csc410), true, michael, victor)
% 0.23/0.45  = { by axiom 4 (csc410_type) }
% 0.23/0.45    fresh14(true, true, michael, victor)
% 0.23/0.45  = { by axiom 10 (student_enrolled_taught) }
% 0.23/0.45    fresh15(student(michael), true, michael, victor)
% 0.23/0.45  = { by axiom 2 (michael_type) }
% 0.23/0.45    fresh15(true, true, michael, victor)
% 0.23/0.45  = { by axiom 7 (student_enrolled_taught) }
% 0.23/0.45    true
% 0.23/0.45  % SZS output end Proof
% 0.23/0.45  
% 0.23/0.45  RESULT: Theorem (the conjecture is true).
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