TSTP Solution File: MGT056+1 by CSE---1.6

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : CSE---1.6
% Problem  : MGT056+1 : TPTP v8.1.2. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %s %d

% Computer : n014.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 09:07:05 EDT 2023

% Result   : Theorem 0.20s 0.71s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12  % Problem    : MGT056+1 : TPTP v8.1.2. Released v2.4.0.
% 0.00/0.13  % Command    : java -jar /export/starexec/sandbox/solver/bin/mcs_scs.jar %s %d
% 0.13/0.34  % Computer : n014.cluster.edu
% 0.13/0.34  % Model    : x86_64 x86_64
% 0.13/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34  % Memory   : 8042.1875MB
% 0.13/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34  % CPULimit   : 300
% 0.13/0.34  % WCLimit    : 300
% 0.13/0.34  % DateTime   : Mon Aug 28 06:29:31 EDT 2023
% 0.13/0.34  % CPUTime    : 
% 0.20/0.55  start to proof:theBenchmark
% 0.20/0.70  %-------------------------------------------
% 0.20/0.70  % File        :CSE---1.6
% 0.20/0.70  % Problem     :theBenchmark
% 0.20/0.70  % Transform   :cnf
% 0.20/0.70  % Format      :tptp:raw
% 0.20/0.70  % Command     :java -jar mcs_scs.jar %d %s
% 0.20/0.70  
% 0.20/0.70  % Result      :Theorem 0.090000s
% 0.20/0.70  % Output      :CNFRefutation 0.090000s
% 0.20/0.70  %-------------------------------------------
% 0.20/0.71  %--------------------------------------------------------------------------
% 0.20/0.71  % File     : MGT056+1 : TPTP v8.1.2. Released v2.4.0.
% 0.20/0.71  % Domain   : Management (Organisation Theory)
% 0.20/0.71  % Problem  : Conditions for a constant then jumping hazard of mortality 2
% 0.20/0.71  % Version  : [Han98] axioms.
% 0.20/0.71  % English  : When (`eta' >= `sigma') in a drifting environment, an endowed
% 0.20/0.71  %            organization's hazard of mortality remains constant until age
% 0.20/0.71  %            `eta' and then jumps to a higher level in a drifting environment.
% 0.20/0.71  
% 0.20/0.71  % Refs     : [Kam00] Kamps (2000), Email to G. Sutcliffe
% 0.20/0.71  %          : [CH00]  Carroll & Hannan (2000), The Demography of Corporation
% 0.20/0.71  %          : [Han98] Hannan (1998), Rethinking Age Dependence in Organizati
% 0.20/0.71  % Source   : [Kam00]
% 0.20/0.71  % Names    : LEMMA 9 [Han98]
% 0.20/0.71  
% 0.20/0.71  % Status   : Theorem
% 0.20/0.71  % Rating   : 0.17 v8.1.0, 0.14 v7.5.0, 0.16 v7.4.0, 0.13 v7.3.0, 0.21 v7.2.0, 0.17 v7.1.0, 0.13 v7.0.0, 0.10 v6.4.0, 0.15 v6.3.0, 0.17 v6.2.0, 0.20 v6.0.0, 0.13 v5.5.0, 0.22 v5.4.0, 0.25 v5.3.0, 0.30 v5.2.0, 0.20 v5.1.0, 0.19 v5.0.0, 0.17 v4.0.1, 0.22 v4.0.0, 0.21 v3.7.0, 0.10 v3.5.0, 0.11 v3.3.0, 0.07 v3.2.0, 0.18 v3.1.0, 0.11 v2.7.0, 0.17 v2.6.0, 0.33 v2.5.0, 0.17 v2.4.0
% 0.20/0.71  % Syntax   : Number of formulae    :   10 (   0 unt;   0 def)
% 0.20/0.71  %            Number of atoms       :   39 (   6 equ)
% 0.20/0.71  %            Maximal formula atoms :    9 (   3 avg)
% 0.20/0.71  %            Number of connectives :   32 (   3   ~;   4   |;  15   &)
% 0.20/0.71  %                                         (   4 <=>;   6  =>;   0  <=;   0 <~>)
% 0.20/0.71  %            Maximal formula depth :   12 (   7 avg)
% 0.20/0.71  %            Maximal term depth    :    2 (   1 avg)
% 0.20/0.71  %            Number of predicates  :    8 (   7 usr;   0 prp; 1-2 aty)
% 0.20/0.71  %            Number of functors    :    5 (   5 usr;   3 con; 0-2 aty)
% 0.20/0.71  %            Number of variables   :   25 (  25   !;   0   ?)
% 0.20/0.71  % SPC      : FOF_THM_RFO_SEQ
% 0.20/0.71  
% 0.20/0.71  % Comments : See MGT042+1.p for the mnemonic names.
% 0.20/0.71  %--------------------------------------------------------------------------
% 0.20/0.71  include('Axioms/MGT001+0.ax').
% 0.20/0.71  %--------------------------------------------------------------------------
% 0.20/0.71  %----Problem Axioms
% 0.20/0.71  %----An endowment provides an immunity that lasts until an
% 0.20/0.71  %----organization's age exceeds `eta'.
% 0.20/0.71  fof(definition_1,axiom,
% 0.20/0.71      ! [X] :
% 0.20/0.71        ( has_endowment(X)
% 0.20/0.71      <=> ! [T] :
% 0.20/0.71            ( organization(X)
% 0.20/0.71            & ( smaller_or_equal(age(X,T),eta)
% 0.20/0.71             => has_immunity(X,T) )
% 0.20/0.71            & ( greater(age(X,T),eta)
% 0.20/0.71             => ~ has_immunity(X,T) ) ) ) ).
% 0.20/0.71  
% 0.20/0.71  %----An organization's hazard of mortality is constant during periods
% 0.20/0.71  %----in which it has immunity.
% 0.20/0.71  fof(assumption_2,axiom,
% 0.20/0.71      ! [X,T0,T] :
% 0.20/0.71        ( ( organization(X)
% 0.20/0.71          & has_immunity(X,T0)
% 0.20/0.71          & has_immunity(X,T) )
% 0.20/0.71       => hazard_of_mortality(X,T0) = hazard_of_mortality(X,T) ) ).
% 0.20/0.71  
% 0.20/0.71  %----An organization's hazard of mortality is lower during periods in
% 0.20/0.71  %----which it has immunity than in periods in which it does not.
% 0.20/0.71  fof(assumption_3,axiom,
% 0.20/0.71      ! [X,T0,T] :
% 0.20/0.71        ( ( organization(X)
% 0.20/0.71          & has_immunity(X,T0)
% 0.20/0.71          & ~ has_immunity(X,T) )
% 0.20/0.71       => greater(hazard_of_mortality(X,T),hazard_of_mortality(X,T0)) ) ).
% 0.20/0.71  
% 0.20/0.71  %----Problem theorems
% 0.20/0.71  %----When (`eta' >= `sigma') in a drifting environment, an endowed
% 0.20/0.71  %----organization's hazard of mortality remains constant until age
% 0.20/0.71  %----`eta' and then jumps to a higher level in a drifting environment.
% 0.20/0.71  %----From D1, A2, A3 (text says D1-2, A1-3, 13-16; also needs D<, D<=, D>=,
% 0.20/0.71  %----MP>str, MP>com, MP>tra).
% 0.20/0.71  fof(lemma_9,conjecture,
% 0.20/0.71      ! [X,T0,T1,T2] :
% 0.20/0.71        ( ( organization(X)
% 0.20/0.71          & has_endowment(X)
% 0.20/0.71          & age(X,T0) = zero
% 0.20/0.71          & smaller_or_equal(age(X,T1),eta)
% 0.20/0.71          & greater(age(X,T2),eta)
% 0.20/0.71          & greater_or_equal(eta,sigma)
% 0.20/0.71          & greater(sigma,zero) )
% 0.20/0.71       => ( greater(hazard_of_mortality(X,T2),hazard_of_mortality(X,T1))
% 0.20/0.71          & hazard_of_mortality(X,T1) = hazard_of_mortality(X,T0) ) ) ).
% 0.20/0.71  
% 0.20/0.71  %--------------------------------------------------------------------------
% 0.20/0.71  %-------------------------------------------
% 0.20/0.71  % Proof found
% 0.20/0.71  % SZS status Theorem for theBenchmark
% 0.20/0.71  % SZS output start Proof
% 0.20/0.71  %ClaNum:49(EqnAxiom:21)
% 0.20/0.71  %VarNum:106(SingletonVarNum:38)
% 0.20/0.71  %MaxLitNum:4
% 0.20/0.71  %MaxfuncDepth:2
% 0.20/0.71  %SharedTerms:22
% 0.20/0.71  %goalClause: 22 23 24 25 26 27 28 49
% 0.20/0.71  %singleGoalClaCount:7
% 0.20/0.71  [22]P1(a1)
% 0.20/0.71  [23]P4(a1)
% 0.20/0.71  [25]P2(a7,a10)
% 0.20/0.71  [26]P3(a10,a6)
% 0.20/0.71  [24]E(f2(a1,a5),a6)
% 0.20/0.71  [27]P6(f2(a1,a8),a7)
% 0.20/0.71  [28]P3(f2(a1,a9),a7)
% 0.20/0.71  [49]~P3(f11(a1,a9),f11(a1,a8))+~E(f11(a1,a8),f11(a1,a5))
% 0.20/0.71  [29]~P1(x291)+P4(x291)
% 0.20/0.71  [30]~E(x301,x302)+P6(x301,x302)
% 0.20/0.71  [31]~E(x311,x312)+P2(x311,x312)
% 0.20/0.71  [33]~P7(x331,x332)+P6(x331,x332)
% 0.20/0.71  [34]~P3(x342,x341)+P7(x341,x342)
% 0.20/0.71  [35]~P3(x351,x352)+P2(x351,x352)
% 0.20/0.71  [36]~P7(x362,x361)+P3(x361,x362)
% 0.20/0.71  [39]~P3(x392,x391)+~P3(x391,x392)
% 0.20/0.71  [32]P7(x321,x322)+P3(x321,x322)+E(x321,x322)
% 0.20/0.71  [37]P7(x371,x372)+~P6(x371,x372)+E(x371,x372)
% 0.20/0.71  [38]P3(x381,x382)+~P2(x381,x382)+E(x381,x382)
% 0.20/0.71  [43]~P1(x431)+P5(x431,x432)+~P6(f2(x431,x432),a7)
% 0.20/0.71  [45]~P1(x451)+~P5(x451,x452)+~P3(f2(x451,x452),a7)
% 0.20/0.71  [40]~P3(x401,x403)+P3(x401,x402)+~P3(x403,x402)
% 0.20/0.71  [41]~P4(x411)+P1(x411)+P5(x411,f3(x411))+~P5(x411,f4(x411))
% 0.20/0.71  [44]~P4(x441)+P1(x441)+P5(x441,f3(x441))+P6(f2(x441,f4(x441)),a7)
% 0.20/0.71  [46]~P4(x461)+P1(x461)+~P5(x461,f4(x461))+P3(f2(x461,f3(x461)),a7)
% 0.20/0.71  [48]~P4(x481)+P1(x481)+P6(f2(x481,f4(x481)),a7)+P3(f2(x481,f3(x481)),a7)
% 0.20/0.71  [42]~P4(x421)+~P5(x421,x423)+~P5(x421,x422)+E(f11(x421,x422),f11(x421,x423))
% 0.20/0.71  [47]~P4(x471)+~P5(x471,x473)+P5(x471,x472)+P3(f11(x471,x472),f11(x471,x473))
% 0.20/0.71  %EqnAxiom
% 0.20/0.71  [1]E(x11,x11)
% 0.20/0.71  [2]E(x22,x21)+~E(x21,x22)
% 0.20/0.71  [3]E(x31,x33)+~E(x31,x32)+~E(x32,x33)
% 0.20/0.71  [4]~E(x41,x42)+E(f2(x41,x43),f2(x42,x43))
% 0.20/0.71  [5]~E(x51,x52)+E(f2(x53,x51),f2(x53,x52))
% 0.20/0.71  [6]~E(x61,x62)+E(f11(x61,x63),f11(x62,x63))
% 0.20/0.71  [7]~E(x71,x72)+E(f11(x73,x71),f11(x73,x72))
% 0.20/0.71  [8]~E(x81,x82)+E(f4(x81),f4(x82))
% 0.20/0.71  [9]~E(x91,x92)+E(f3(x91),f3(x92))
% 0.20/0.71  [10]~P1(x101)+P1(x102)+~E(x101,x102)
% 0.20/0.71  [11]~P4(x111)+P4(x112)+~E(x111,x112)
% 0.20/0.71  [12]P2(x122,x123)+~E(x121,x122)+~P2(x121,x123)
% 0.20/0.71  [13]P2(x133,x132)+~E(x131,x132)+~P2(x133,x131)
% 0.20/0.71  [14]P3(x142,x143)+~E(x141,x142)+~P3(x141,x143)
% 0.20/0.71  [15]P3(x153,x152)+~E(x151,x152)+~P3(x153,x151)
% 0.20/0.71  [16]P6(x162,x163)+~E(x161,x162)+~P6(x161,x163)
% 0.20/0.71  [17]P6(x173,x172)+~E(x171,x172)+~P6(x173,x171)
% 0.20/0.71  [18]P5(x182,x183)+~E(x181,x182)+~P5(x181,x183)
% 0.20/0.71  [19]P5(x193,x192)+~E(x191,x192)+~P5(x193,x191)
% 0.20/0.71  [20]P7(x202,x203)+~E(x201,x202)+~P7(x201,x203)
% 0.20/0.71  [21]P7(x213,x212)+~E(x211,x212)+~P7(x213,x211)
% 0.20/0.71  
% 0.20/0.71  %-------------------------------------------
% 0.20/0.71  cnf(50,plain,
% 0.20/0.71     (E(a6,f2(a1,a5))),
% 0.20/0.71     inference(scs_inference,[],[24,2])).
% 0.20/0.71  cnf(56,plain,
% 0.20/0.71     (~P5(a1,a9)),
% 0.20/0.71     inference(scs_inference,[],[22,26,24,28,2,39,36,15,45])).
% 0.20/0.71  cnf(58,plain,
% 0.20/0.71     (P5(a1,a8)),
% 0.20/0.71     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43])).
% 0.20/0.71  cnf(62,plain,
% 0.20/0.71     (P7(a6,a10)),
% 0.20/0.71     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34])).
% 0.20/0.71  cnf(66,plain,
% 0.20/0.71     (P2(f2(a1,a5),a6)),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31])).
% 0.20/0.72  cnf(68,plain,
% 0.20/0.72     (P6(f2(a1,a5),a6)),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30])).
% 0.20/0.72  cnf(72,plain,
% 0.20/0.72     (E(f11(x721,f2(a1,a5)),f11(x721,a6))),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7])).
% 0.20/0.72  cnf(73,plain,
% 0.20/0.72     (E(f11(f2(a1,a5),x731),f11(a6,x731))),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6])).
% 0.20/0.72  cnf(75,plain,
% 0.20/0.72     (E(f2(f2(a1,a5),x751),f2(a6,x751))),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6,5,4])).
% 0.20/0.72  cnf(79,plain,
% 0.20/0.72     (~P3(f2(a1,a5),a10)),
% 0.20/0.72     inference(scs_inference,[],[22,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6,5,4,21,20,19,14])).
% 0.20/0.72  cnf(80,plain,
% 0.20/0.72     (P3(f11(a1,a9),f11(a1,a8))),
% 0.20/0.72     inference(scs_inference,[],[22,23,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6,5,4,21,20,19,14,47])).
% 0.20/0.72  cnf(82,plain,
% 0.20/0.72     (~E(f11(a1,a8),f11(a1,a5))),
% 0.20/0.72     inference(scs_inference,[],[22,23,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6,5,4,21,20,19,14,47,49])).
% 0.20/0.72  cnf(89,plain,
% 0.20/0.72     (~P3(x891,a10)+~P3(a6,x891)),
% 0.20/0.72     inference(scs_inference,[],[22,23,26,24,27,28,2,39,36,15,45,43,35,34,33,31,30,9,8,7,6,5,4,21,20,19,14,47,49,18,17,16,13,12,3,40])).
% 0.20/0.72  cnf(101,plain,
% 0.20/0.72     (~P5(a1,a5)),
% 0.20/0.72     inference(scs_inference,[],[23,82,58,42])).
% 0.20/0.72  cnf(109,plain,
% 0.20/0.72     (~E(f2(a1,a9),a7)),
% 0.20/0.72     inference(scs_inference,[],[22,23,28,82,56,58,42,39,45,43,30])).
% 0.20/0.72  cnf(112,plain,
% 0.20/0.72     (~E(f2(a1,a8),f2(a1,a9))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,82,56,58,42,39,45,43,30,7,16])).
% 0.20/0.72  cnf(118,plain,
% 0.20/0.72     (~P3(f2(a1,a8),f2(a1,a9))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,82,56,58,42,39,45,43,30,7,16,13,12,3,40])).
% 0.20/0.72  cnf(120,plain,
% 0.20/0.72     (P7(f2(a1,a8),f2(a1,a9))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,82,56,58,42,39,45,43,30,7,16,13,12,3,40,32])).
% 0.20/0.72  cnf(124,plain,
% 0.20/0.72     (~E(f11(a1,a5),f11(a1,a8))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,82,56,58,42,39,45,43,30,7,16,13,12,3,40,32,36,2])).
% 0.20/0.72  cnf(125,plain,
% 0.20/0.72     (P7(f2(a1,a5),a10)),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,82,56,58,62,42,39,45,43,30,7,16,13,12,3,40,32,36,2,20])).
% 0.20/0.72  cnf(126,plain,
% 0.20/0.72     (P6(f2(a1,a5),f2(a1,a5))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,68,82,56,58,62,42,39,45,43,30,7,16,13,12,3,40,32,36,2,20,17])).
% 0.20/0.72  cnf(130,plain,
% 0.20/0.72     (P3(f11(a1,a5),f11(a1,a8))),
% 0.20/0.72     inference(scs_inference,[],[22,23,27,28,24,72,73,50,66,68,82,56,58,62,42,39,45,43,30,7,16,13,12,3,40,32,36,2,20,17,11,33,47])).
% 0.20/0.72  cnf(133,plain,
% 0.20/0.72     (E(a7,a10)+P3(a7,a10)),
% 0.20/0.72     inference(scs_inference,[],[22,25,23,27,28,24,72,73,50,66,68,82,56,58,62,42,39,45,43,30,7,16,13,12,3,40,32,36,2,20,17,11,33,47,14,38])).
% 0.20/0.72  cnf(151,plain,
% 0.20/0.72     (~P6(f2(a1,a5),a7)),
% 0.20/0.72     inference(scs_inference,[],[50,80,118,112,101,22,39,38,30,43])).
% 0.20/0.72  cnf(156,plain,
% 0.20/0.72     (E(f2(x1561,a6),f2(x1561,f2(a1,a5)))),
% 0.20/0.72     inference(scs_inference,[],[50,80,120,118,112,101,22,39,38,30,43,33,7,5])).
% 0.20/0.72  cnf(159,plain,
% 0.20/0.72     (E(f2(a6,x1591),f2(f2(a1,a5),x1591))),
% 0.20/0.72     inference(scs_inference,[],[50,80,120,118,112,75,101,22,39,38,30,43,33,7,5,36,2])).
% 0.20/0.72  cnf(160,plain,
% 0.20/0.72     (~E(f2(a1,a5),a7)),
% 0.20/0.72     inference(scs_inference,[],[50,80,120,118,112,75,126,101,22,39,38,30,43,33,7,5,36,2,17])).
% 0.20/0.72  cnf(161,plain,
% 0.20/0.72     (~E(a6,a7)),
% 0.20/0.72     inference(scs_inference,[],[50,24,80,120,118,112,75,126,101,22,39,38,30,43,33,7,5,36,2,17,3])).
% 0.20/0.72  cnf(192,plain,
% 0.20/0.72     (E(f2(a6,a6),f2(f2(a1,a5),f2(a1,a5)))),
% 0.20/0.72     inference(scs_inference,[],[130,156,159,124,109,151,160,125,33,39,32,7,2,21,3])).
% 0.20/0.72  cnf(195,plain,
% 0.20/0.72     (~P7(a6,a7)),
% 0.20/0.72     inference(scs_inference,[],[50,130,156,159,124,109,151,160,125,33,39,32,7,2,21,3,20])).
% 0.20/0.72  cnf(197,plain,
% 0.20/0.72     (P3(a7,a10)),
% 0.20/0.72     inference(scs_inference,[],[50,130,156,159,124,109,151,160,79,125,33,39,32,7,2,21,3,20,15,133])).
% 0.20/0.72  cnf(198,plain,
% 0.20/0.72     (~P3(a6,a7)),
% 0.20/0.72     inference(scs_inference,[],[50,130,156,159,124,109,151,160,79,125,33,39,32,7,2,21,3,20,15,133,89])).
% 0.20/0.72  cnf(233,plain,
% 0.20/0.72     ($false),
% 0.20/0.72     inference(scs_inference,[],[28,161,197,192,198,195,38,34,39,33,30,40,32]),
% 0.20/0.72     ['proof']).
% 0.20/0.72  % SZS output end Proof
% 0.20/0.72  % Total time :0.090000s
%------------------------------------------------------------------------------