TSTP Solution File: NLP003+1 by Otter---3.3
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : Otter---3.3
% Problem : NLP003+1 : TPTP v8.1.0. Released v2.4.0.
% Transfm : none
% Format : tptp:raw
% Command : otter-tptp-script %s
% Computer : n027.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 : Wed Jul 27 13:06:25 EDT 2022
% Result : Timeout 299.94s 300.07s
% Output : None
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----No solution output by system
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.06/0.11 % Problem : NLP003+1 : TPTP v8.1.0. Released v2.4.0.
% 0.06/0.12 % Command : otter-tptp-script %s
% 0.13/0.33 % Computer : n027.cluster.edu
% 0.13/0.33 % Model : x86_64 x86_64
% 0.13/0.33 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.33 % Memory : 8042.1875MB
% 0.13/0.33 % OS : Linux 3.10.0-693.el7.x86_64
% 0.13/0.33 % CPULimit : 300
% 0.13/0.33 % WCLimit : 300
% 0.13/0.33 % DateTime : Wed Jul 27 09:07:51 EDT 2022
% 0.13/0.33 % CPUTime :
% 1.77/1.97 ----- Otter 3.3f, August 2004 -----
% 1.77/1.97 The process was started by sandbox on n027.cluster.edu,
% 1.77/1.97 Wed Jul 27 09:07:51 2022
% 1.77/1.97 The command was "./otter". The process ID is 11464.
% 1.77/1.97
% 1.77/1.97 set(prolog_style_variables).
% 1.77/1.97 set(auto).
% 1.77/1.97 dependent: set(auto1).
% 1.77/1.97 dependent: set(process_input).
% 1.77/1.97 dependent: clear(print_kept).
% 1.77/1.97 dependent: clear(print_new_demod).
% 1.77/1.97 dependent: clear(print_back_demod).
% 1.77/1.97 dependent: clear(print_back_sub).
% 1.77/1.97 dependent: set(control_memory).
% 1.77/1.97 dependent: assign(max_mem, 12000).
% 1.77/1.97 dependent: assign(pick_given_ratio, 4).
% 1.77/1.97 dependent: assign(stats_level, 1).
% 1.77/1.97 dependent: assign(max_seconds, 10800).
% 1.77/1.97 clear(print_given).
% 1.77/1.97
% 1.77/1.97 formula_list(usable).
% 1.77/1.97 all A (A=A).
% 1.77/1.97 all U (chevy(U)->car(U)).
% 1.77/1.97 all U (car(U)->vehicle(U)).
% 1.77/1.97 all U (vehicle(U)->transport(U)).
% 1.77/1.97 all U (transport(U)->instrumentality(U)).
% 1.77/1.97 all U (instrumentality(U)->artifact(U)).
% 1.77/1.97 all U (instrumentality(U)-> -way(U)).
% 1.77/1.97 all U (street(U)->way(U)).
% 1.77/1.97 all U (way(U)->artifact(U)).
% 1.77/1.97 all U (artifact(U)->object(U)).
% 1.77/1.97 all U (artifact(U)-> -location(U)).
% 1.77/1.97 all U (event(U)->eventuality(U)).
% 1.77/1.97 all U (hollywood(U)->city(U)).
% 1.77/1.97 all U (city(U)->location(U)).
% 1.77/1.97 all U (location(U)->object(U)).
% 1.77/1.97 all U (object(U)->entity(U)).
% 1.77/1.97 all U (old(U)-> -new(U)).
% 1.77/1.97 all U (eventuality(U)-> -entity(U)).
% 1.77/1.97 all U (abstraction(U)-> -entity(U)).
% 1.77/1.97 all U (abstraction(U)-> -eventuality(U)).
% 1.77/1.97 all U (male(U)-> -female(U)).
% 1.77/1.97 all U (man(U)-> -woman(U)).
% 1.77/1.97 all U (man(U)->male(U)).
% 1.77/1.97 all U (male(U)->human(U)).
% 1.77/1.97 all U (female(U)->human(U)).
% 1.77/1.97 all U (woman(U)->female(U)).
% 1.77/1.97 all U (drs(U)<->proposition(U)).
% 1.77/1.97 all U (nonhuman(U)->entity(U)).
% 1.77/1.97 all U (human(U)-> -nonhuman(U)).
% 1.77/1.97 all U V W (have(U,V,W)&human(V)<->owner(V)&of(V,W)).
% 1.77/1.97 all U V W (have(U,V,W)&nonhuman(V)&nonhuman(W)->partof(W,V)).
% 1.77/1.97 all U V W (event(U)&have(U,V,W)->of(V,W)).
% 1.77/1.97 all U V (of(V,U)-> (exists W (event(W)&have(W,U,V)))).
% 1.77/1.97 all U V W (partof(U,V)&partof(U,W)->V=W).
% 1.77/1.97 -(-(exists U V W X (hollywood(U)&city(U)&event(V)&chevy(W)&car(W)&white(W)&dirty(W)&old(W)&street(X)&way(X)&lonely(X)&barrel(V,W)&down(V,X)&in(V,U)))).
% 1.77/1.97 end_of_list.
% 1.77/1.97
% 1.77/1.97 -------> usable clausifies to:
% 1.77/1.97
% 1.77/1.97 list(usable).
% 1.77/1.97 0 [] A=A.
% 1.77/1.97 0 [] -chevy(U)|car(U).
% 1.77/1.97 0 [] -car(U)|vehicle(U).
% 1.77/1.97 0 [] -vehicle(U)|transport(U).
% 1.77/1.97 0 [] -transport(U)|instrumentality(U).
% 1.77/1.97 0 [] -instrumentality(U)|artifact(U).
% 1.77/1.97 0 [] -instrumentality(U)| -way(U).
% 1.77/1.97 0 [] -street(U)|way(U).
% 1.77/1.97 0 [] -way(U)|artifact(U).
% 1.77/1.97 0 [] -artifact(U)|object(U).
% 1.77/1.97 0 [] -artifact(U)| -location(U).
% 1.77/1.97 0 [] -event(U)|eventuality(U).
% 1.77/1.97 0 [] -hollywood(U)|city(U).
% 1.77/1.97 0 [] -city(U)|location(U).
% 1.77/1.97 0 [] -location(U)|object(U).
% 1.77/1.97 0 [] -object(U)|entity(U).
% 1.77/1.97 0 [] -old(U)| -new(U).
% 1.77/1.97 0 [] -eventuality(U)| -entity(U).
% 1.77/1.97 0 [] -abstraction(U)| -entity(U).
% 1.77/1.97 0 [] -abstraction(U)| -eventuality(U).
% 1.77/1.97 0 [] -male(U)| -female(U).
% 1.77/1.97 0 [] -man(U)| -woman(U).
% 1.77/1.97 0 [] -man(U)|male(U).
% 1.77/1.97 0 [] -male(U)|human(U).
% 1.77/1.97 0 [] -female(U)|human(U).
% 1.77/1.97 0 [] -woman(U)|female(U).
% 1.77/1.97 0 [] -drs(U)|proposition(U).
% 1.77/1.97 0 [] drs(U)| -proposition(U).
% 1.77/1.97 0 [] -nonhuman(U)|entity(U).
% 1.77/1.97 0 [] -human(U)| -nonhuman(U).
% 1.77/1.97 0 [] -have(U,V,W)| -human(V)|owner(V).
% 1.77/1.97 0 [] -have(U,V,W)| -human(V)|of(V,W).
% 1.77/1.97 0 [] have(U,V,W)| -owner(V)| -of(V,W).
% 1.77/1.97 0 [] human(V)| -owner(V)| -of(V,W).
% 1.77/1.97 0 [] -have(U,V,W)| -nonhuman(V)| -nonhuman(W)|partof(W,V).
% 1.77/1.97 0 [] -event(U)| -have(U,V,W)|of(V,W).
% 1.77/1.97 0 [] -of(V,U)|event($f1(U,V)).
% 1.77/1.97 0 [] -of(V,U)|have($f1(U,V),U,V).
% 1.77/1.97 0 [] -partof(U,V)| -partof(U,W)|V=W.
% 1.77/1.97 0 [] hollywood($c4).
% 1.77/1.97 0 [] city($c4).
% 1.77/1.97 0 [] event($c3).
% 1.77/1.97 0 [] chevy($c2).
% 1.77/1.97 0 [] car($c2).
% 1.77/1.97 0 [] white($c2).
% 1.77/1.97 0 [] dirty($c2).
% 1.77/1.97 0 [] old($c2).
% 1.77/1.97 0 [] street($c1).
% 1.77/1.97 0 [] way($c1).
% 1.77/1.97 0 [] lonely($c1).
% 1.77/1.97 0 [] barrel($c3,$c2).
% 1.77/1.97 0 [] down($c3,$c1).
% 1.77/1.97 0 [] in($c3,$c4).
% 1.77/1.97 end_of_list.
% 1.77/1.97
% 1.77/1.97 SCAN INPUT: prop=0, horn=1, equality=1, symmetry=0, max_lits=4.
% 1.77/1.97
% 1.77/1.97 This is a Horn set with equality. The strategy will be
% 1.77/1.97 Knuth-Bendix and hyper_res, with positive clauses in
% 1.77/1.97 sos and nonpositive clauses in usable.
% 1.77/1.97
% 1.77/1.97 dependent: set(knuth_bendix).
% 1.77/1.97 dependent: set(anl_eq).
% 1.77/1.97 dependent: set(para_from).
% 1.77/1.97 dependent: set(para_into).
% 1.77/1.97 dependent: clear(para_from_right).
% 1.77/1.97 dependent: clear(para_into_right).
% 1.77/1.97 dependent: set(para_from_vars).
% 1.77/1.97 dependent: set(eq_units_both_ways).
% 1.77/1.97 dependent: set(dynamic_demod_all).
% 1.77/1.97 dependent: set(dynamic_demod).
% 1.77/1.97 dependent: set(order_eq).
% 1.77/1.97 dependentAlarm clock
% 299.94/300.07 Otter interrupted
% 299.94/300.07 PROOF NOT FOUND
%------------------------------------------------------------------------------