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hopCoP---0.1.UNS-CRf.s

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%------------------------------------------------------------------------------
% File     : hopCoP---0.1
% Problem  : MGT021-1 : TPTP v9.3.0. Released v2.4.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : /export/starexec/sandbox2/solver/bin/execute.py 300 /export/starexec/sandbox2/benchmark/theBenchmark.p

% Computer : n002.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 06:11:22 AM UTC 2026

% Result   : Unsatisfiable 0.09s 0.41s
% Output   : CNFRefutation 0.09s
% Verified : 
% SZS Type : ERROR: Analysing output (Could not find formula named prove_l3_35ERROR: Could not build tree for root finalERROR: MakeTreeStats fails)

% Comments : 
%------------------------------------------------------------------------------
cnf(8,plain,
    environment(sk1),
    inference(cnf,[status(esa)],[prove_l3_35]) ).

cnf(l0,plain,
    environment(sk1),
    inference(instantiation,[status(thm)],[8]) ).

cnf(4,plain,
    ( ~ in_environment(X0,X1)
    | ~ greater(equilibrium(X0),X1)
    | ~ greater(number_of_organizations(X0,X1),zero)
    | ~ environment(X0)
    | decreases(resources(X0,X1)) ),
    inference(cnf,[status(esa)],[a3_31]) ).

cnf(l1,plain,
    ( ~ in_environment(sk1,sk2)
    | ~ greater(equilibrium(sk1),sk2)
    | ~ greater(number_of_organizations(sk1,sk2),zero)
    | ~ environment(sk1)
    | decreases(resources(sk1,sk2)) ),
    inference(instantiation,[status(thm)],[4]) ).

cnf(1,plain,
    ( ~ subpopulations(first_movers,efficient_producers,X0,X1)
    | ~ environment(X0)
    | greater(number_of_organizations(X0,X1),zero) ),
    inference(cnf,[status(esa)],[mp_environment_not_empty_28]) ).

cnf(l4,plain,
    ( ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1)
    | greater(number_of_organizations(sk1,sk2),zero) ),
    inference(instantiation,[status(thm)],[1]) ).

cnf(5,plain,
    ( ~ in_environment(X0,X1)
    | ~ greater(number_of_organizations(X0,X1),zero)
    | ~ environment(X0)
    | constant(resources(X0,X1))
    | greater(equilibrium(X0),X1) ),
    inference(cnf,[status(esa)],[a3_32]) ).

cnf(l47,plain,
    ( ~ in_environment(sk1,sk2)
    | ~ greater(number_of_organizations(sk1,sk2),zero)
    | ~ environment(sk1)
    | constant(resources(sk1,sk2))
    | greater(equilibrium(sk1),sk2) ),
    inference(instantiation,[status(thm)],[5]) ).

cnf(l49,plain,
    ( ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1)
    | greater(number_of_organizations(sk1,sk2),zero) ),
    inference(instantiation,[status(thm)],[1]) ).

cnf(0,plain,
    ( ~ subpopulations(first_movers,efficient_producers,X0,X1)
    | ~ environment(X0)
    | in_environment(X0,X1) ),
    inference(cnf,[status(esa)],[mp_time_point_in_environment_27]) ).

cnf(l2,plain,
    ( ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1)
    | in_environment(sk1,sk2) ),
    inference(instantiation,[status(thm)],[0]) ).

cnf(9,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(cnf,[status(esa)],[prove_l3_36]) ).

cnf(l3,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(6,plain,
    ( ~ decreases(resources(X0,X1))
    | ~ subpopulations(first_movers,efficient_producers,X0,X1)
    | ~ environment(X0)
    | increases(difference(disbanding_rate(first_movers,X1),disbanding_rate(efficient_producers,X1))) ),
    inference(cnf,[status(esa)],[l4_33]) ).

cnf(l46,plain,
    ( ~ decreases(resources(sk1,sk2))
    | ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1)
    | increases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))) ),
    inference(instantiation,[status(thm)],[6]) ).

cnf(l31,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(l74,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(7,plain,
    ( ~ decreases(difference(disbanding_rate(first_movers,X0),disbanding_rate(efficient_producers,X0)))
    | ~ constant(resources(X1,X0))
    | ~ subpopulations(first_movers,efficient_producers,X1,X0)
    | ~ environment(X1) ),
    inference(cnf,[status(esa)],[l4_34]) ).

cnf(l56,plain,
    ( ~ decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2)))
    | ~ constant(resources(sk1,sk2))
    | ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1) ),
    inference(instantiation,[status(thm)],[7]) ).

cnf(l55,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(l61,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(2,plain,
    ( ~ decreases(X0)
    | ~ increases(X0) ),
    inference(cnf,[status(esa)],[mp_increase_not_decrease_29]) ).

cnf(l82,plain,
    ( ~ decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2)))
    | ~ increases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))) ),
    inference(instantiation,[status(thm)],[2]) ).

cnf(l52,plain,
    ( ~ subpopulations(first_movers,efficient_producers,sk1,sk2)
    | ~ environment(sk1)
    | in_environment(sk1,sk2) ),
    inference(instantiation,[status(thm)],[0]) ).

cnf(10,plain,
    decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))),
    inference(cnf,[status(esa)],[prove_l3_37]) ).

cnf(l83,plain,
    decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))),
    inference(instantiation,[status(thm)],[10]) ).

cnf(l59,plain,
    subpopulations(first_movers,efficient_producers,sk1,sk2),
    inference(instantiation,[status(thm)],[9]) ).

cnf(l58,plain,
    decreases(difference(disbanding_rate(first_movers,sk2),disbanding_rate(efficient_producers,sk2))),
    inference(instantiation,[status(thm)],[10]) ).

cnf(final,plain,
    $false,
    inference(ground_refutation,[status(thm)],[l0,l1,l4,l47,l49,l2,l3,l46,l31,l74,l56,l55,l61,l82,l52,l83,l59,l58]) ).

%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03  % Problem  : MGT021-1 : TPTP v9.3.0. Released v2.4.0.
% 0.00/0.04  % Command  : /export/starexec/sandbox2/solver/bin/execute.py 300 /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.09/0.38  % Computer : n002.cluster.edu
% 0.09/0.38  % Model    : x86_64 x86_64
% 0.09/0.38  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.09/0.38  % Memory   : 8046.5625MB
% 0.09/0.38  % OS       : Linux 6.8.0-71-generic
% 0.09/0.38  % CPULimit : 300
% 0.09/0.38  % WCLimit  : 300
% 0.09/0.38  % DateTime : Mon Sep  7 12:06:07 UTC 2026
% 0.09/0.38  % CPUTime  : 
% 0.09/0.38  % launching worker at depth: 1
% 0.09/0.38  % launching worker at depth: 3
% 0.09/0.38  % launching worker at depth: 4
% 0.09/0.38  % launching worker at depth: 5
% 0.09/0.38  % launching worker at depth: 6
% 0.09/0.38  % launching worker at depth: 2
% 0.09/0.38  % launching worker at depth: 7
% 0.09/0.38  % launching worker at depth: 8
% 0.09/0.38  % launching worker at depth: 9
% 0.09/0.39  % launching worker at depth: 10
% 0.09/0.40  % launching worker at depth: 11
% 0.09/0.41  % SZS status Theorem for theBenchmark
% 0.09/0.41  % SZS output start CNFRefutation
% See solution above
%------------------------------------------------------------------------------