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SPASS-SCL---0.1.1.THM-Prf.s

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%------------------------------------------------------------------------------
% File     : SPASS-SCL---0.1.1
% Problem  : MGT022+2 : TPTP v9.3.0. Released v2.0.0.
% Transfm  : none
% Format   : tptp
% Command  : /export/starexec/sandbox/solver/bin/SPASS-SCL-FOL -t 300 /export/starexec/sandbox/benchmark/theBenchmark.p

% Computer : n005.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8046.5625MB
% OS       : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Tue Sep  8 06:20:06 AM UTC 2026

% Result   : Theorem 0.09s 0.37s
% Output   : Proof 0.09s
% Verified : 
% SZS Type : Refutation
%            Derivation depth      :   11
%            Number of leaves      :    7
% Syntax   : Number of formulae    :   39 (   8 unt;   3 def)
%            Number of atoms       :  119 (   0 equ)
%            Maximal formula atoms :    7 (   3 avg)
%            Number of connectives :  124 (  44   ~;  30   |;  24   &)
%                                         (   0 <=>;  24  =>;   2  <=;   0 <~>)
%            Maximal formula depth :    9 (   4 avg)
%            Maximal term depth    :    3 (   1 avg)
%            Number of predicates  :   10 (   9 usr;   1 prp; 0-4 aty)
%            Number of functors    :    8 (   8 usr;   4 con; 0-2 aty)
%            Number of variables   :   66 (   2 sgn  43   !;   2   ?)

% Comments : 
%------------------------------------------------------------------------------
% FILE RECORD
fof(mp_constant_not_decrease,axiom,
    ! [X1] :
      ( constant(X1)
     => ~ decreases(X1) ),
    file('theBenchmark.p',mp_constant_not_decrease) ).

% FOF SIMPLE INFERENCE
fof(mp_constant_not_decrease_elimTB,axiom,
    ! [X1] :
      ( constant(X1)
     => ~ decreases(X1) ),
    inference(elimTB,[status(thm)],[inference(variable_rename,[status(thm)],[mp_constant_not_decrease])]) ).

% FOF SIMPLE INFERENCE
fof(mp_constant_not_decrease_elimImpEquivPushNegMiniScope,axiom,
    ! [X1] :
      ( ~ constant(X1)
      | ~ decreases(X1) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[mp_constant_not_decrease_elimTB]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_1,plain,
    ( ~ constant(X0)
    | ~ decreases(X0) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[mp_constant_not_decrease_elimImpEquivPushNegMiniScope])]) ).

% FILE RECORD
fof(prove_l4,conjecture,
    ! [X2,X5] :
      ( ( environment(X2)
        & subpopulations(first_movers,efficient_producers,X2,X5) )
     => ( ( decreases(resources(X2,X5))
         => increases(difference(disbanding_rate(first_movers,X5),disbanding_rate(efficient_producers,X5))) )
        & ( constant(resources(X2,X5))
         => ~ decreases(difference(disbanding_rate(first_movers,X5),disbanding_rate(efficient_producers,X5))) ) ) ),
    file('theBenchmark.p',prove_l4) ).

% NEGATING CONJECTURE
fof(prove_l4_nc,negated_conjecture,
    ~ ! [X2,X5] :
        ( ( environment(X2)
          & subpopulations(first_movers,efficient_producers,X2,X5) )
       => ( ( decreases(resources(X2,X5))
           => increases(difference(disbanding_rate(first_movers,X5),disbanding_rate(efficient_producers,X5))) )
          & ( constant(resources(X2,X5))
           => ~ decreases(difference(disbanding_rate(first_movers,X5),disbanding_rate(efficient_producers,X5))) ) ) ),
    inference(negating_conjecture,[status(cth)],[prove_l4]) ).

% FOF SIMPLE INFERENCE
fof(prove_l4_nc_elimTB,negated_conjecture,
    ~ ! [X1,X2] :
        ( ( environment(X1)
          & subpopulations(first_movers,efficient_producers,X1,X2) )
       => ( ( decreases(resources(X1,X2))
           => increases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) )
          & ( constant(resources(X1,X2))
           => ~ decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) ) ) ),
    inference(elimTB,[status(thm)],[inference(variable_rename,[status(thm)],[prove_l4_nc])]) ).

% FOF INTRODUCE RENAMING
fof(ren3_defn,definition,
    ! [X1,X2] :
      ( ren3(X1,X2)
     <= ( constant(resources(X1,X2))
       => ~ decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) ) ),
    introduced(definition,[new_symbols(definition,[ren3])],[prove_l4_nc_elimTB]) ).

% FOF SIMPLE INFERENCE
fof(ren3_elimImpEquivPushNegMiniScope,plain,
    ! [X1,X2] :
      ( ( constant(resources(X1,X2))
        & decreases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) )
      | ren3(X1,X2) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[ren3_defn]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_9,plain,
    ( decreases(difference(disbanding_rate(first_movers,X0),disbanding_rate(efficient_producers,X0)))
    | ren3(X1,X0) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren3_elimImpEquivPushNegMiniScope])]) ).

% FILE RECORD
fof(a6,hypothesis,
    ! [X2,X3,X4,X5] :
      ( ( environment(X2)
        & subpopulations(X3,X4,X2,X5)
        & greater(resilience(X4),resilience(X3)) )
     => ( ( decreases(resources(X2,X5))
         => increases(difference(disbanding_rate(X3,X5),disbanding_rate(X4,X5))) )
        & ( constant(resources(X2,X5))
         => constant(difference(disbanding_rate(X3,X5),disbanding_rate(X4,X5))) ) ) ),
    file('theBenchmark.p',a6) ).

% FOF SIMPLE INFERENCE
fof(a6_elimTB,hypothesis,
    ! [X1,X2,X3,X4] :
      ( ( environment(X1)
        & subpopulations(X2,X3,X1,X4)
        & greater(resilience(X3),resilience(X2)) )
     => ( ( decreases(resources(X1,X4))
         => increases(difference(disbanding_rate(X2,X4),disbanding_rate(X3,X4))) )
        & ( constant(resources(X1,X4))
         => constant(difference(disbanding_rate(X2,X4),disbanding_rate(X3,X4))) ) ) ),
    inference(elimTB,[status(thm)],[inference(variable_rename,[status(thm)],[a6])]) ).

% FOF INTRODUCE RENAMING
fof(ren1_defn,definition,
    ! [X1,X4,X2,X3] :
      ( ren1(X1,X4,X2,X3)
     => ( ( decreases(resources(X1,X4))
         => increases(difference(disbanding_rate(X2,X4),disbanding_rate(X3,X4))) )
        & ( constant(resources(X1,X4))
         => constant(difference(disbanding_rate(X2,X4),disbanding_rate(X3,X4))) ) ) ),
    introduced(definition,[new_symbols(definition,[ren1])],[a6_elimTB]) ).

% FOF SIMPLE INFERENCE
fof(ren1_elimImpEquivPushNegMiniScope,plain,
    ! [X1,X2,X3,X4] :
      ( ~ ren1(X1,X2,X3,X4)
      | ( ( ~ decreases(resources(X1,X2))
          | increases(difference(disbanding_rate(X3,X2),disbanding_rate(X4,X2))) )
        & ( ~ constant(resources(X1,X2))
          | constant(difference(disbanding_rate(X3,X2),disbanding_rate(X4,X2))) ) ) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[ren1_defn]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_3,plain,
    ( ~ ren1(X0,X1,X2,X3)
    | ~ constant(resources(X0,X1))
    | constant(difference(disbanding_rate(X2,X1),disbanding_rate(X3,X1))) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren1_elimImpEquivPushNegMiniScope])]) ).

% FOF RENAMING INFERENCE
fof(a6_renObv,hypothesis,
    ! [X1,X2,X3,X4] :
      ( ( environment(X1)
        & subpopulations(X2,X3,X1,X4)
        & greater(resilience(X3),resilience(X2)) )
     => ren1(X1,X4,X2,X3) ),
    inference(renaming,[status(esa)],[a6_elimTB,ren1_defn]) ).

% FOF SIMPLE INFERENCE
fof(a6_elimImpEquivPushNegMiniScope,hypothesis,
    ! [X1,X2,X3,X4] :
      ( ~ environment(X1)
      | ~ subpopulations(X2,X3,X1,X4)
      | ~ greater(resilience(X3),resilience(X2))
      | ren1(X1,X4,X2,X3) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[a6_renObv]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_4,plain,
    ( ~ environment(X0)
    | ~ subpopulations(X1,X2,X0,X3)
    | ~ greater(resilience(X2),resilience(X1))
    | ren1(X0,X3,X1,X2) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[a6_elimImpEquivPushNegMiniScope])]) ).

% FOF INTRODUCE RENAMING
fof(ren2_defn,definition,
    ! [X1,X2] :
      ( ren2(X1,X2)
     <= ( decreases(resources(X1,X2))
       => increases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) ) ),
    introduced(definition,[new_symbols(definition,[ren2])],[prove_l4_nc_elimTB]) ).

% FOF RENAMING INFERENCE
fof(prove_l4_nc_renObv,negated_conjecture,
    ~ ! [X1,X2] :
        ( ( environment(X1)
          & subpopulations(first_movers,efficient_producers,X1,X2) )
       => ( ren2(X1,X2)
          & ren3(X1,X2) ) ),
    inference(renaming,[status(esa)],[prove_l4_nc_elimTB,ren2_defn,ren3_defn]) ).

% FOF SIMPLE INFERENCE
fof(prove_l4_nc_elimImpEquivPushNegMiniScope,negated_conjecture,
    ? [X1,X2] :
      ( environment(X1)
      & subpopulations(first_movers,efficient_producers,X1,X2)
      & ( ~ ren2(X1,X2)
        | ~ ren3(X1,X2) ) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[prove_l4_nc_renObv]) ).

% FOF SKOLEM INFERENCE. WIP!!
fof(prove_l4_nc_skol,negated_conjecture,
    ( environment(skc1)
    & subpopulations(first_movers,efficient_producers,skc1,skc2)
    & ( ~ ren2(skc1,skc2)
      | ~ ren3(skc1,skc2) ) ),
    inference(skolemize,[status(esa),new_symbols(skolem,[skc1,skc2]),skolemize(X1,skc1),skolemize(X2,skc2)],[prove_l4_nc_elimImpEquivPushNegMiniScope]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_11,plain,
    subpopulations(first_movers,efficient_producers,skc1,skc2),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[prove_l4_nc_skol])]) ).

% FILE RECORD
fof(a2,hypothesis,
    greater(resilience(efficient_producers),resilience(first_movers)),
    file('theBenchmark.p',a2) ).

% FOF SIMPLE INFERENCE
fof(a2_elimTB,hypothesis,
    greater(resilience(efficient_producers),resilience(first_movers)),
    inference(elimTB,[status(thm)],[inference(variable_rename,[status(thm)],[a2])]) ).

% FOF SIMPLE INFERENCE
fof(a2_elimImpEquivPushNegMiniScope,hypothesis,
    greater(resilience(efficient_producers),resilience(first_movers)),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[a2_elimTB]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_5,plain,
    greater(resilience(efficient_producers),resilience(first_movers)),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[a2_elimImpEquivPushNegMiniScope])]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_8,plain,
    ( constant(resources(X0,X1))
    | ren3(X0,X1) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren3_elimImpEquivPushNegMiniScope])]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_10,plain,
    environment(skc1),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[prove_l4_nc_skol])]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_2,plain,
    ( ~ ren1(X0,X1,X2,X3)
    | ~ decreases(resources(X0,X1))
    | increases(difference(disbanding_rate(X2,X1),disbanding_rate(X3,X1))) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren1_elimImpEquivPushNegMiniScope])]) ).

% FOF SIMPLE INFERENCE
fof(ren2_elimImpEquivPushNegMiniScope,plain,
    ! [X1,X2] :
      ( ( decreases(resources(X1,X2))
        & ~ increases(difference(disbanding_rate(first_movers,X2),disbanding_rate(efficient_producers,X2))) )
      | ren2(X1,X2) ),
    inference(elimImpEquivPushNegMiniScope,[status(thm)],[ren2_defn]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_7,plain,
    ( ~ increases(difference(disbanding_rate(first_movers,X0),disbanding_rate(efficient_producers,X0)))
    | ren2(X1,X0) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren2_elimImpEquivPushNegMiniScope])]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_6,plain,
    ( decreases(resources(X0,X1))
    | ren2(X0,X1) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[ren2_elimImpEquivPushNegMiniScope])]) ).

% FOF PUSH DISJ SPLITTING.
cnf(c_12,plain,
    ( ~ ren2(skc1,skc2)
    | ~ ren3(skc1,skc2) ),
    inference(split_conjunct,[status(thm)],[inference(push_disj,[status(thm)],[prove_l4_nc_skol])]) ).

% CNF SPASS RESOLUTION.
cnf(c_13,plain,
    ( ~ environment(skc1)
    | ~ subpopulations(first_movers,efficient_producers,skc1,skc2)
    | ~ greater(resilience(efficient_producers),resilience(first_movers))
    | ~ ren3(skc1,skc2) ),
    inference(resolution,[status(thm)],[c_2,c_7,c_4,c_6,c_12]) ).

% CNF SPASS RESOLUTION.
cnf(c_14,plain,
    ( ~ subpopulations(first_movers,efficient_producers,skc1,skc2)
    | ~ greater(resilience(efficient_producers),resilience(first_movers))
    | ~ ren3(skc1,skc2) ),
    inference(resolution,[status(thm)],[c_10,c_13]) ).

% CNF SPASS RESOLUTION.
cnf(c_15,plain,
    ( ~ greater(resilience(efficient_producers),resilience(first_movers))
    | ~ ren3(skc1,skc2) ),
    inference(resolution,[status(thm)],[c_11,c_14]) ).

% CNF SPASS RESOLUTION.
cnf(c_16,plain,
    ~ ren3(skc1,skc2),
    inference(resolution,[status(thm)],[c_5,c_15]) ).

% CNF SPASS RESOLUTION.
cnf(c_19,plain,
    $false,
    inference(resolution,[status(thm)],[c_1,c_9,c_3,c_4,c_11,c_5,c_8,c_16,c_10]) ).


%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.02  % Problem  : MGT022+2 : TPTP v9.3.0. Released v2.0.0.
% 0.00/0.03  % Command  : /export/starexec/sandbox/solver/bin/SPASS-SCL-FOL -t 300 /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.09/0.36  % Computer : n005.cluster.edu
% 0.09/0.36  % Model    : x86_64 x86_64
% 0.09/0.36  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.09/0.36  % Memory   : 8046.5625MB
% 0.09/0.36  % OS       : Linux 6.8.0-71-generic
% 0.09/0.36  % CPULimit : 300
% 0.09/0.36  % WCLimit  : 300
% 0.09/0.36  % DateTime : Mon Sep  7 12:05:35 UTC 2026
% 0.09/0.36  % CPUTime  : 
% 0.09/0.36  Running /export/starexec/sandbox/solver/bin/SPASS-SCL-FOL -t 300 /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.09/0.37  
% 0.09/0.37  % Input Clauses:
% 0.09/0.37  % 1:2:1:INP:Top: constant(x0),decreases(x0) -> 
% 0.09/0.37  % 2:3:4:INP:TopTopTopTop: ren1(x0,x1,x2,x3),decreases(resources(x0,x1)) -> increases(difference(disbanding_rate(x2,x1),disbanding_rate(x3,x1)))
% 0.09/0.37  % 3:3:4:INP:TopTopTopTop: ren1(x0,x1,x2,x3),constant(resources(x0,x1)) -> constant(difference(disbanding_rate(x2,x1),disbanding_rate(x3,x1)))
% 0.09/0.37  % 4:4:4:INP:TopTopTopTop: environment(x0),subpopulations(x1,x2,x0,x3),greater(resilience(x2),resilience(x1)) -> ren1(x0,x3,x1,x2)
% 0.09/0.37  % 5:1:0:INP::  -> greater(resilience(efficient_producers),resilience(first_movers))
% 0.09/0.37  % 6:2:2:INP:TopTop:  -> decreases(resources(x0,x1)),ren2(x0,x1)
% 0.09/0.37  % 7:2:2:INP:TopTop: increases(difference(disbanding_rate(first_movers,x0),disbanding_rate(efficient_producers,x0))) -> ren2(x1,x0)
% 0.09/0.37  % 8:2:2:INP:TopTop:  -> constant(resources(x0,x1)),ren3(x0,x1)
% 0.09/0.37  % 9:2:2:INP:TopTop:  -> decreases(difference(disbanding_rate(first_movers,x0),disbanding_rate(efficient_producers,x0))),ren3(x1,x0)
% 0.09/0.37  % 10:1:0:INP::  -> environment(skc1)
% 0.09/0.37  % 11:1:0:INP::  -> subpopulations(first_movers,efficient_producers,skc1,skc2)
% 0.09/0.37  % 12:2:0:INP:: ren2(skc1,skc2),ren3(skc1,skc2) -> 
% 0.09/0.37  
% 0.09/0.37  % Predicates: constant decreases environment subpopulations greater increases ren1 ren2 ren3 
% 0.09/0.37  % Fol Constants: efficient_producers first_movers skc1 skc2 
% 0.09/0.37  % Fol Functions: resilience resources disbanding_rate difference 
% 0.09/0.37  % Problem Properties:
% 0.09/0.37  % This is a full first-order problem without equality. The Problem is non-linear. 
% 0.09/0.37  
% 0.09/0.37  
% 0.09/0.37  % Reduced Input Axiom Clauses:
% 0.09/0.37  % 1:2:1:INP:Top: constant(x0),decreases(x0) -> 
% 0.09/0.37  % 2:3:4:INP:TopTopTopTop: ren1(x0,x1,x2,x3),decreases(resources(x0,x1)) -> increases(difference(disbanding_rate(x2,x1),disbanding_rate(x3,x1)))
% 0.09/0.37  % 3:3:4:INP:TopTopTopTop: ren1(x0,x1,x2,x3),constant(resources(x0,x1)) -> constant(difference(disbanding_rate(x2,x1),disbanding_rate(x3,x1)))
% 0.09/0.37  % 6:2:2:INP:TopTop:  -> decreases(resources(x0,x1)),ren2(x0,x1)
% 0.09/0.37  % 7:2:2:INP:TopTop: increases(difference(disbanding_rate(first_movers,x0),disbanding_rate(efficient_producers,x0))) -> ren2(x1,x0)
% 0.09/0.37  % 8:2:2:INP:TopTop:  -> constant(resources(x0,x1)),ren3(x0,x1)
% 0.09/0.37  % 9:2:2:INP:TopTop:  -> decreases(difference(disbanding_rate(first_movers,x0),disbanding_rate(efficient_producers,x0))),ren3(x1,x0)
% 0.09/0.37  
% 0.09/0.37  % Reduced Input Conjecture Clauses:
% 0.09/0.37  % 4:4:4:INP:TopTopTopTop: environment(x0),subpopulations(x1,x2,x0,x3),greater(resilience(x2),resilience(x1)) -> ren1(x0,x3,x1,x2)
% 0.09/0.37  % 5:1:0:INP::  -> greater(resilience(efficient_producers),resilience(first_movers))
% 0.09/0.37  % 10:1:0:INP::  -> environment(skc1)
% 0.09/0.37  % 11:1:0:INP::  -> subpopulations(first_movers,efficient_producers,skc1,skc2)
% 0.09/0.37  % 12:2:0:INP:: ren2(skc1,skc2),ren3(skc1,skc2) -> 
% 0.09/0.37  
% 0.09/0.37  
% 0.09/0.37  % === Starting SPASS-SCL-FOL A Little Less Naive, considering 22 atoms initially. Used heuristic: lmodel_grow ===
% 0.09/0.37  
% 0.09/0.37  
% 0.09/0.37  
% 0.09/0.37  % SZS status Theorem
% 0.09/0.37  % Problem: /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.09/0.37  
% 0.09/0.37  % SPASS-SCL-FOL Statistics:
% 0.09/0.37  % Number of learned clauses: 3
% 0.09/0.37  % Number of propagations: 33
% 0.09/0.37  % Number of decisions: 13
% 0.09/0.37  % Number of resolutions: 15
% 0.09/0.37  % Number of condensations: 0
% 0.09/0.37  % Number of sub resolutions: 3
% 0.09/0.37  
% 0.09/0.37  % Solver is done. Empty clause found
% 0.09/0.37  
% 0.09/0.37  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 0.09/0.37  % SZS output start Proof for theBenchmark
% See solution above
% 0.09/0.37  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 0.09/0.37  
% 0.09/0.37  
% 0.09/0.37  % Needed:       0:00:00.00
% 0.09/0.37  
% 0.09/0.37  % ###
% 0.09/0.37  % ### Pagesize: 8192
% 0.09/0.37  % ### Marksize: 0
% 0.09/0.37  % ### Memory demanded:  485 KBytes
% 0.09/0.37  % ### Memory freed:     485 KBytes
% 0.09/0.37  % ### Memory remaining: 0 Bytes
% 0.09/0.37  % ### Pages allocated:  151 Pages
% 0.09/0.37  % ###
%------------------------------------------------------------------------------