TSTP Solution File: AGT022+2 by Prover9---1109a

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : Prover9---1109a
% Problem  : AGT022+2 : TPTP v8.1.0. Bugfixed v3.1.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : tptp2X_and_run_prover9 %d %s

% Computer : n028.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  : 600s
% DateTime : Thu Jul 14 12:03:19 EDT 2022

% Result   : Timeout 300.02s 300.25s
% Output   : None 
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.03/0.12  % Problem  : AGT022+2 : TPTP v8.1.0. Bugfixed v3.1.0.
% 0.13/0.13  % Command  : tptp2X_and_run_prover9 %d %s
% 0.13/0.34  % Computer : n028.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  : 600
% 0.13/0.34  % DateTime : Sat Jun  4 07:10:11 EDT 2022
% 0.13/0.34  % CPUTime  : 
% 0.91/1.18  ============================== Prover9 ===============================
% 0.91/1.18  Prover9 (32) version 2009-11A, November 2009.
% 0.91/1.18  Process 25535 was started by sandbox2 on n028.cluster.edu,
% 0.91/1.18  Sat Jun  4 07:10:11 2022
% 0.91/1.18  The command was "/export/starexec/sandbox2/solver/bin/prover9 -t 300 -f /tmp/Prover9_25380_n028.cluster.edu".
% 0.91/1.18  ============================== end of head ===========================
% 0.91/1.18  
% 0.91/1.18  ============================== INPUT =================================
% 0.91/1.18  
% 0.91/1.18  % Reading from file /tmp/Prover9_25380_n028.cluster.edu
% 0.91/1.18  
% 0.91/1.18  set(prolog_style_variables).
% 0.91/1.18  set(auto2).
% 0.91/1.18      % set(auto2) -> set(auto).
% 0.91/1.18      % set(auto) -> set(auto_inference).
% 0.91/1.18      % set(auto) -> set(auto_setup).
% 0.91/1.18      % set(auto_setup) -> set(predicate_elim).
% 0.91/1.18      % set(auto_setup) -> assign(eq_defs, unfold).
% 0.91/1.18      % set(auto) -> set(auto_limits).
% 0.91/1.18      % set(auto_limits) -> assign(max_weight, "100.000").
% 0.91/1.18      % set(auto_limits) -> assign(sos_limit, 20000).
% 0.91/1.18      % set(auto) -> set(auto_denials).
% 0.91/1.18      % set(auto) -> set(auto_process).
% 0.91/1.18      % set(auto2) -> assign(new_constants, 1).
% 0.91/1.18      % set(auto2) -> assign(fold_denial_max, 3).
% 0.91/1.18      % set(auto2) -> assign(max_weight, "200.000").
% 0.91/1.18      % set(auto2) -> assign(max_hours, 1).
% 0.91/1.18      % assign(max_hours, 1) -> assign(max_seconds, 3600).
% 0.91/1.18      % set(auto2) -> assign(max_seconds, 0).
% 0.91/1.18      % set(auto2) -> assign(max_minutes, 5).
% 0.91/1.18      % assign(max_minutes, 5) -> assign(max_seconds, 300).
% 0.91/1.18      % set(auto2) -> set(sort_initial_sos).
% 0.91/1.18      % set(auto2) -> assign(sos_limit, -1).
% 0.91/1.18      % set(auto2) -> assign(lrs_ticks, 3000).
% 0.91/1.18      % set(auto2) -> assign(max_megs, 400).
% 0.91/1.18      % set(auto2) -> assign(stats, some).
% 0.91/1.18      % set(auto2) -> clear(echo_input).
% 0.91/1.18      % set(auto2) -> set(quiet).
% 0.91/1.18      % set(auto2) -> clear(print_initial_clauses).
% 0.91/1.18      % set(auto2) -> clear(print_given).
% 0.91/1.18  assign(lrs_ticks,-1).
% 0.91/1.18  assign(sos_limit,10000).
% 0.91/1.18  assign(order,kbo).
% 0.91/1.18  set(lex_order_vars).
% 0.91/1.18  clear(print_given).
% 0.91/1.18  
% 0.91/1.18  % formulas(sos).  % not echoed (923 formulas)
% 0.91/1.18  
% 0.91/1.18  ============================== end of input ==========================
% 0.91/1.18  
% 0.91/1.18  % From the command line: assign(max_seconds, 300).
% 0.91/1.18  
% 0.91/1.18  ============================== PROCESS NON-CLAUSAL FORMULAS ==========
% 0.91/1.18  
% 0.91/1.18  % Formulas that are not ordinary clauses:
% 0.91/1.18  1 (all A all C all N all L (accept_team(A,L,C,N) <-> accept_city(A,C) & accept_leader(A,L) & accept_number(A,N))) # label(a1_1) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  2 (all A all N all M (accept_number(A,N) & less(M,N) -> accept_number(A,M))) # label(a1_2) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  3 (all A all N all M all P (accept_population(A,P,N) & less(M,N) -> accept_population(A,P,M))) # label(a1_3) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  4 (all A all L all C (the_agent_in_all_proposed_teams(A,L,C) -> accept_leader(A,L) & accept_city(A,C))) # label(a1_4) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  5 (all A all L all C (any_agent_in_all_proposed_teams(A,L,C) -> accept_leader(A,L))) # label(a1_5) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  6 (all A all L all C (the_agent_not_in_any_proposed_teams(A,L,C) -> -(accept_city(A,C) & accept_leader(A,L)))) # label(a1_6) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  7 (all A all N (min_number_of_proposed_agents(A,N) -> accept_number(A,N))) # label(a1_7) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  8 (all A (accept_population(A,atheist,n65) & accept_population(A,christian,n20) & accept_population(A,muslim,n7) & accept_population(A,native,n4) & accept_population(A,other,n4) <-> accept_city(A,suffertown))) # label(a2_1) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  9 (all A (accept_population(A,atheist,n54) & accept_population(A,christian,n23) & accept_population(A,muslim,n3) & accept_population(A,native,n1) & accept_population(A,other,n9) <-> accept_city(A,centraltown))) # label(a2_2) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  10 (all A (accept_population(A,atheist,n30) & accept_population(A,christian,n8) & accept_population(A,muslim,n60) & accept_population(A,native,n1) & accept_population(A,other,n1) <-> accept_city(A,sunnysideport))) # label(a2_3) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  11 (all A (accept_population(A,atheist,n70) & accept_population(A,christian,n15) & accept_population(A,muslim,n1) & accept_population(A,native,n10) & accept_population(A,other,n4) <-> accept_city(A,centrallakecity))) # label(a2_4) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  12 (all A (accept_population(A,atheist,n68) & accept_population(A,christian,n16) & accept_population(A,muslim,n1) & accept_population(A,native,n11) & accept_population(A,other,n4) <-> accept_city(A,stjosephburgh))) # label(a2_5) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  13 (all A (accept_population(A,atheist,n70) & accept_population(A,christian,n13) & accept_population(A,muslim,n0) & accept_population(A,native,n15) & accept_population(A,other,n2) <-> accept_city(A,northport))) # label(a2_6) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  14 (all A (accept_population(A,atheist,n12) & accept_population(A,christian,n3) & accept_population(A,muslim,n0) & accept_population(A,native,n85) & accept_population(A,other,n0) <-> accept_city(A,coastvillage))) # label(a2_7) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  15 (all A (accept_population(A,atheist,n0) & accept_population(A,christian,n0) & accept_population(A,muslim,n0) & accept_population(A,native,n100) & accept_population(A,other,n0) <-> accept_city(A,sunsetpoint))) # label(a2_8) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  16 (all A (accept_population(A,atheist,n75) & accept_population(A,christian,n24) & accept_population(A,muslim,n1) & accept_population(A,native,n0) & accept_population(A,other,n0) <-> accept_city(A,towna))) # label(a2_9) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  17 (all A (accept_population(A,atheist,n75) & accept_population(A,christian,n25) & accept_population(A,muslim,n0) & accept_population(A,native,n0) & accept_population(A,other,n0) <-> accept_city(A,citya))) # label(a2_10) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  18 (all A (accept_population(A,atheist,n70) & accept_population(A,christian,n20) & accept_population(A,muslim,n8) & accept_population(A,native,n0) & accept_population(A,other,n2) <-> accept_city(A,townb))) # label(a2_11) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  19 (all A (accept_population(A,atheist,n78) & accept_population(A,christian,n20) & accept_population(A,muslim,n1) & accept_population(A,native,n0) & accept_population(A,other,n1) <-> accept_city(A,cityb))) # label(a2_12) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  20 (all A (accept_population(A,atheist,n30) & accept_population(A,christian,n0) & accept_population(A,muslim,n65) & accept_population(A,native,n0) & accept_population(A,other,n5) <-> accept_city(A,townc))) # label(a2_13) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  21 (all X all Y all Z (rdn_positive_less(rdnn(X),rdnn(Y)) & rdn_positive_less(rdnn(Y),rdnn(Z)) -> rdn_positive_less(rdnn(X),rdnn(Z)))) # label(rdn_positive_less_transitivity) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  22 (all Ds all Os all Db all Ob (rdn_positive_less(Os,Ob) -> rdn_positive_less(rdn(rdnn(Ds),Os),rdn(rdnn(Db),Ob)))) # label(rdn_positive_less_multi_digit_high) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  23 (all Ds all O all Db (rdn_positive_less(rdnn(Ds),rdnn(Db)) & rdn_non_zero(O) -> rdn_positive_less(rdn(rdnn(Ds),O),rdn(rdnn(Db),O)))) # label(rdn_positive_less_multi_digit_low) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  24 (all D all Db all Ob (rdn_non_zero(Ob) -> rdn_positive_less(rdnn(D),rdn(rdnn(Db),Ob)))) # label(rdn_extra_digits_positive_less) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  25 (all X (rdn_non_zero_digit(rdnn(X)) -> rdn_non_zero(rdnn(X)))) # label(rdn_non_zero_by_digit) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  26 (all D all O (rdn_non_zero(O) -> rdn_non_zero(rdn(rdnn(D),O)))) # label(rdn_non_zero_by_structure) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.18  27 (all X all Y all RDN_X all RDN_Y (rdn_translate(X,rdn_pos(RDN_X)) & rdn_translate(Y,rdn_pos(RDN_Y)) & rdn_positive_less(RDN_X,RDN_Y) -> less(X,Y))) # label(less_entry_point_pos_pos) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  28 (all X all Y all RDN_X all RDN_Y (rdn_translate(X,rdn_neg(RDN_X)) & rdn_translate(Y,rdn_pos(RDN_Y)) -> less(X,Y))) # label(less_entry_point_neg_pos) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  29 (all X all Y all RDN_X all RDN_Y (rdn_translate(X,rdn_neg(RDN_X)) & rdn_translate(Y,rdn_neg(RDN_Y)) & rdn_positive_less(RDN_Y,RDN_X) -> less(X,Y))) # label(less_entry_point_neg_neg) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  30 (all X all Y (less(X,Y) <-> -less(Y,X) & Y != X)) # label(less_property) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  31 (all X all Y (less_or_equal(X,Y) <-> less(X,Y) | X = Y)) # label(less_or_equal) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  32 (all X all Y all Z (sum(X,n1,Y) & less(Z,Y) -> less_or_equal(Z,X))) # label(less_successor) # label(axiom) # label(non_clause).  [assumption].
% 0.91/1.19  33 -(exists X exists Y -accept_population(X,native,Y)) # label(query_22) # label(negated_conjecture) # label(non_clause).  [assumption].
% 0.91/1.19  
% 0.91/1.19  ============================== end of process non-clausal formulas ===
% 0.91/1.19  
% 0.91/1.19  ============================== PROCESS INITIAL CLAUSES ===============
% 0.91/1.19  
% 0.91/1.19  ============================== PREDICATE ELIMINATION =================
% 0.91/1.19  34 the_agent_in_all_proposed_teams(countryahumanitarianorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_5) # label(axiom).  [assumption].
% 0.91/1.19  35 -the_agent_in_all_proposed_teams(A,B,C) | accept_leader(A,B) # label(a1_4) # label(axiom).  [clausify(4)].
% 0.91/1.19  36 -the_agent_in_all_proposed_teams(A,B,C) | accept_city(A,C) # label(a1_4) # label(axiom).  [clausify(4)].
% 0.91/1.19  37 the_agent_in_all_proposed_teams(countrybhumanitarianorganization,countryacivilorganization,towna) # label(event_22) # label(axiom).  [assumption].
% 0.91/1.19  38 the_agent_in_all_proposed_teams(countryccivilorganization,countryacivilorganization,towna) # label(event_41) # label(axiom).  [assumption].
% 0.91/1.19  39 the_agent_in_all_proposed_teams(countrybcivilorganization,countryacivilorganization,towna) # label(event_46) # label(axiom).  [assumption].
% 0.91/1.19  40 the_agent_in_all_proposed_teams(countrycmedicalorganization,countryacivilorganization,towna) # label(event_49) # label(axiom).  [assumption].
% 0.91/1.19  41 the_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,countryacivilorganization,towna) # label(event_56) # label(axiom).  [assumption].
% 0.91/1.19  42 the_agent_in_all_proposed_teams(countryacivilorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_63) # label(axiom).  [assumption].
% 0.91/1.19  43 the_agent_in_all_proposed_teams(countryafirstaidorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_69) # label(axiom).  [assumption].
% 0.91/1.19  44 the_agent_in_all_proposed_teams(countrybcivilorganization,countryahumanitarianorganization,townc) # label(event_80) # label(axiom).  [assumption].
% 0.91/1.19  45 the_agent_in_all_proposed_teams(sufferterragovernment,christiancountrychumanitarianorganization,coastvillage) # label(event_86) # label(axiom).  [assumption].
% 0.91/1.19  46 the_agent_in_all_proposed_teams(christiansufferterrahumanitarianorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_94) # label(axiom).  [assumption].
% 0.91/1.19  47 the_agent_in_all_proposed_teams(muslimcountrybhumanitarianorganization,countryahumanitarianorganization,townc) # label(event_104) # label(axiom).  [assumption].
% 0.91/1.19  48 the_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,countryahumanitarianorganization,townc) # label(event_113) # label(axiom).  [assumption].
% 0.91/1.19  49 the_agent_in_all_proposed_teams(countryccivilorganization,countryahumanitarianorganization,townc) # label(event_120) # label(axiom).  [assumption].
% 0.91/1.19  50 the_agent_in_all_proposed_teams(countrycmedicalorganization,countryahumanitarianorganization,townc) # label(event_132) # label(axiom).  [assumption].
% 0.91/1.19  51 the_agent_in_all_proposed_teams(countrybhumanitarianorganization,countryahumanitarianorganization,townc) # label(event_137) # label(axiom).  [assumption].
% 0.91/1.19  52 the_agent_in_all_proposed_teams(christiansufferterrahumanitarianorganization,countrybhumanitarianorganization,cityb) # label(event_141) # label(axiom).  [assumption].
% 0.91/1.22  53 the_agent_in_all_proposed_teams(sufferterragovernment,countrybhumanitarianorganization,cityb) # label(event_146) # label(axiom).  [assumption].
% 0.91/1.22  54 the_agent_in_all_proposed_teams(countryafirstaidorganization,countrybhumanitarianorganization,cityb) # label(event_150) # label(axiom).  [assumption].
% 0.91/1.22  55 the_agent_in_all_proposed_teams(countryamedicalorganization,countrybhumanitarianorganization,cityb) # label(event_158) # label(axiom).  [assumption].
% 0.91/1.22  56 the_agent_in_all_proposed_teams(countryahumanitarianorganization,countrybhumanitarianorganization,cityb) # label(event_164) # label(axiom).  [assumption].
% 0.91/1.22  57 the_agent_in_all_proposed_teams(countryacivilorganization,countrybhumanitarianorganization,cityb) # label(event_169) # label(axiom).  [assumption].
% 0.91/1.22  58 the_agent_in_all_proposed_teams(countrybhumanitarianorganization,sufferterragovernment,towna) # label(event_201) # label(axiom).  [assumption].
% 0.91/1.22  59 the_agent_in_all_proposed_teams(countrybcivilorganization,sufferterragovernment,towna) # label(event_209) # label(axiom).  [assumption].
% 0.91/1.22  60 the_agent_in_all_proposed_teams(countryccivilorganization,sufferterragovernment,towna) # label(event_220) # label(axiom).  [assumption].
% 0.91/1.22  61 the_agent_in_all_proposed_teams(countrycmedicalorganization,sufferterragovernment,towna) # label(event_232) # label(axiom).  [assumption].
% 0.91/1.22  62 the_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,sufferterragovernment,towna) # label(event_243) # label(axiom).  [assumption].
% 0.91/1.22  63 any_agent_in_all_proposed_teams(countryahumanitarianorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_6) # label(axiom).  [assumption].
% 0.91/1.22  64 -any_agent_in_all_proposed_teams(A,B,C) | accept_leader(A,B) # label(a1_5) # label(axiom).  [clausify(5)].
% 0.91/1.22  65 any_agent_in_all_proposed_teams(muslimcountrybhumanitarianorganization,countryacivilorganization,towna) # label(event_12) # label(axiom).  [assumption].
% 0.91/1.22  66 any_agent_in_all_proposed_teams(countrybhumanitarianorganization,countryacivilorganization,towna) # label(event_23) # label(axiom).  [assumption].
% 0.91/1.22  67 any_agent_in_all_proposed_teams(countryamedicalorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_38) # label(axiom).  [assumption].
% 0.91/1.22  68 any_agent_in_all_proposed_teams(countryccivilorganization,countryacivilorganization,towna) # label(event_42) # label(axiom).  [assumption].
% 0.91/1.22  69 any_agent_in_all_proposed_teams(countrybcivilorganization,countryacivilorganization,towna) # label(event_47) # label(axiom).  [assumption].
% 0.91/1.22  70 any_agent_in_all_proposed_teams(countrycmedicalorganization,countryacivilorganization,towna) # label(event_50) # label(axiom).  [assumption].
% 0.91/1.22  71 any_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,countryacivilorganization,towna) # label(event_57) # label(axiom).  [assumption].
% 0.91/1.22  72 any_agent_in_all_proposed_teams(countryacivilorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_64) # label(axiom).  [assumption].
% 0.91/1.22  73 any_agent_in_all_proposed_teams(countryafirstaidorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_70) # label(axiom).  [assumption].
% 0.91/1.23  74 any_agent_in_all_proposed_teams(countrybcivilorganization,countryahumanitarianorganization,townc) # label(event_81) # label(axiom).  [assumption].
% 0.91/1.23  75 any_agent_in_all_proposed_teams(sufferterragovernment,christiancountrychumanitarianorganization,coastvillage) # label(event_87) # label(axiom).  [assumption].
% 0.91/1.23  76 any_agent_in_all_proposed_teams(christiansufferterrahumanitarianorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_95) # label(axiom).  [assumption].
% 0.91/1.23  77 any_agent_in_all_proposed_teams(muslimcountrybhumanitarianorganization,countryahumanitarianorganization,townc) # label(event_105) # label(axiom).  [assumption].
% 0.91/1.23  78 any_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,countryahumanitarianorganization,townc) # label(event_114) # label(axiom).  [assumption].
% 0.91/1.23  79 any_agent_in_all_proposed_teams(countryccivilorganization,countryahumanitarianorganization,townc) # label(event_121) # label(axiom).  [assumption].
% 0.91/1.40  80 any_agent_in_all_proposed_teams(countrycmedicalorganization,countryahumanitarianorganization,townc) # label(event_133) # label(axiom).  [assumption].
% 0.91/1.40  81 any_agent_in_all_proposed_teams(countrybhumanitarianorganization,countryahumanitarianorganization,townc) # label(event_138) # label(axiom).  [assumption].
% 0.91/1.40  82 any_agent_in_all_proposed_teams(christiansufferterrahumanitarianorganization,countrybhumanitarianorganization,cityb) # label(event_142) # label(axiom).  [assumption].
% 0.91/1.40  83 any_agent_in_all_proposed_teams(sufferterragovernment,countrybhumanitarianorganization,cityb) # label(event_147) # label(axiom).  [assumption].
% 0.91/1.40  84 any_agent_in_all_proposed_teams(countryafirstaidorganization,countrybhumanitarianorganization,cityb) # label(event_151) # label(axiom).  [assumption].
% 0.91/1.40  85 any_agent_in_all_proposed_teams(countryamedicalorganization,countrybhumanitarianorganization,cityb) # label(event_159) # label(axiom).  [assumption].
% 0.91/1.40  86 any_agent_in_all_proposed_teams(countryahumanitarianorganization,countrybhumanitarianorganization,cityb) # label(event_165) # label(axiom).  [assumption].
% 0.91/1.40  87 any_agent_in_all_proposed_teams(countryacivilorganization,countrybhumanitarianorganization,cityb) # label(event_170) # label(axiom).  [assumption].
% 0.91/1.40  88 any_agent_in_all_proposed_teams(countrybhumanitarianorganization,sufferterragovernment,towna) # label(event_202) # label(axiom).  [assumption].
% 0.91/1.40  89 any_agent_in_all_proposed_teams(countrybcivilorganization,sufferterragovernment,towna) # label(event_210) # label(axiom).  [assumption].
% 0.91/1.40  90 any_agent_in_all_proposed_teams(countryccivilorganization,sufferterragovernment,towna) # label(event_221) # label(axiom).  [assumption].
% 0.91/1.40  91 any_agent_in_all_proposed_teams(countrycmedicalorganization,sufferterragovernment,towna) # label(event_233) # label(axiom).  [assumption].
% 0.91/1.40  92 any_agent_in_all_proposed_teams(christiancountrychumanitarianorganization,sufferterragovernment,towna) # label(event_244) # label(axiom).  [assumption].
% 0.91/1.40  93 any_agent_in_all_proposed_teams(muslimcountrybhumanitarianorganization,sufferterragovernment,towna) # label(event_249) # label(axiom).  [assumption].
% 0.91/1.40  94 the_agent_not_in_any_proposed_teams(muslimcountrybhumanitarianorganization,countryacivilorganization,towna) # label(event_11) # label(axiom).  [assumption].
% 0.91/1.40  95 -the_agent_not_in_any_proposed_teams(A,B,C) | -accept_city(A,C) | -accept_leader(A,B) # label(a1_6) # label(axiom).  [clausify(6)].
% 0.91/1.40  96 the_agent_not_in_any_proposed_teams(countryamedicalorganization,christiancountrychumanitarianorganization,coastvillage) # label(event_37) # label(axiom).  [assumption].
% 0.91/1.40  97 the_agent_not_in_any_proposed_teams(muslimcountrybhumanitarianorganization,sufferterragovernment,towna) # label(event_248) # label(axiom).  [assumption].
% 0.91/1.40  98 less_or_equal(A,B) | -less(A,B) # label(less_or_equal) # label(axiom).  [clausify(31)].
% 0.91/1.40  99 -less_or_equal(A,B) | less(A,B) | B = A # label(less_or_equal) # label(axiom).  [clausify(31)].
% 0.91/1.40  100 less_or_equal(A,B) | B != A # label(less_or_equal) # label(axiom).  [clausify(31)].
% 0.91/1.40  101 -sum(A,n1,B) | -less(C,B) | less_or_equal(C,A) # label(less_successor) # label(axiom).  [clausify(32)].
% 0.91/1.40  Derived: -sum(A,n1,B) | -less(C,B) | less(C,A) | A = C.  [resolve(101,c,99,a)].
% 0.91/1.40  
% 0.91/1.40  ============================== end predicate elimination =============
% 0.91/1.40  
% 0.91/1.40  Auto_denials:  (non-Horn, no changes).
% 0.91/1.40  
% 0.91/1.40  Term ordering decisions:
% 0.91/1.40  Function symbol KB weights:  n1=1. n6=1. n0=1. n5=1. n2=1. n4=1. n3=1. countrybhumanitarianorganization=1. christiancountrychumanitarianorganization=1. countrycmedicalorganization=1. atheist=1. christian=1. countryacivilorganization=1. countrybcivilorganization=1. countryahumanitarianorganization=1. sufferterragovernment=1. other=1. muslim=1. towna=1. n8=1. muslimcountrybhumanitarianorganization=1. n7=1. countryafirstaidorganization=1. n9=1. native=1. townc=1. christiansufferterrahumanitarianorganization=1. countryccivilorganization=1. cityb=1. coastvillage=1. countryamedicalorganization=1. n20=1. n30=1. n65=1. n75=1. n24=1. n78=Cputime limit exceeded (core dumped)
%------------------------------------------------------------------------------