MEINONGIAN SEMANTICSFORPROPOSITIONALSEMANTIC NETWORKS
William J. Rapaport
Department of Computer Science
University at Buffalo
State University of New York
Buffalo, NY 14260
rapapor t%buffalo~csnet-re la y.
ABSTRACT
Tilts paper surveys several approaches to semanttc-netw,~rk seman-
tics that have not previously been treated ~n the AI or
computattonal lingutsttcs hterature, though there ~s a large ptulu.
~)ph~cal hterature invest)gating them m ~mledetad. In parttcular,
proF~n~onal semanttc networks (exemphhed hv ~,NeP%)are dis
cus.~d, it
ts
argued that ~mlv a Iull'; mtenstonal ("Mem(mgtan")
semantics is apprt)prtate I(~r them. and se'~eral \|eln(~nglan svstenls
are presented.
1. SEMANTICS OF SEMANTIC NETWORKS.
~emantlc netw¢~rks have pr(~ed rt~ I~ a uselul dahl ,,true.lure
for representing mlormatttm. =.e., a "knt~wledt, e'" repre~ntatmn svs
tenn. (A I'~tter termmtdogv ix
"'belief" teptexentatiott system; t.f.
Rapa~)rt and Shaptn~ 1984. Rapap(trt 198.1hL The ~tlt'.= =,, an ,lid
one:
Inheritance networks
(Iqg.
I),
hke
tht,se ~1
()ulllti|II 1968.
(,has feather~)
Fig. 1. An inheritance network.
I~>hrnw and Win(~grad's KRI. (1977),
,,r
IIra~.hman',, KI.()',I.
(1979,), bear strong tamttv re~mblanues t() "l'.wphvrv',, I'ree'" (I ~t,.
2) a mediaeval device u.~d t~> dlustrate the .\r:st,.~ehan 'het,rv
,~I
definn~(m by
~pe~:e~ and
d~fferent~a
((-I.
Kret~'mann
I~'hh.
('It
2;
Kneale and Kneale It~hh: 232). It has been r~,nted (~ut that titere ~s
nothing essentmlly "~emanttc" about semantic networks (llendnx
1979; hut cf. Woods 1975. Brachman 1979). Indeed. v~ewed ,as a
data structure, it is arguable that a semantic network m a
language
(r,,~.,~lhlV w~th an a~st~lated Ingle (~r ~nference mechanmm) f(~r
representing
inlornlatl(}n
ah~)ut ,aline d(,mam,
and,
as
such,
IS a
purely
syntactic
entity. They have (-(~me to he (-ailed "semanttc'"
primarily hecau.~ ~d their
uses
as wart, ~ll representing tile mean-
ings
(~f hngutstic !tems¢.
As a notatt(mal device, a semanuc net'a.'tlrk ~an ~tseil be g~','en
a semantic,s. That is, the art, s. nc,Jes, and rules (~l :. semantic
net~,'(irk representational system (.an 1~' given interpretations, in
terms (if the entities they are u~d tit represent. Witilout ~;uch a
semantics, a semantic network is an arhltrar'¢ not-':tt(mal dev;ce
Imble tt~ mtsmterpretat=on tel. Wtx.ds 1975; I!,rathman i977. 1983;
Mclgerm~ltt 1981 ). The task (~! prov:ding
a
semantt~s Forsemantic
networks is more ak=n tt~ the task
t)f
providing a ,~mant~cs For a
language
than I'()r a
logic.
,crate in the latter ca.;e, hut not m the
(.jenlls >
Differentia > C()R~)~ / NON-CORPOREAL
Species
> ~
L
/
"-
RA~ /NON-RATIONAL
"~. ~ < Principle of Individual)on
(-'P~'~ M~., k-'~y "_ < Individuals
Fig. 2. Porphyry's
Tree:
A mediaeval inheritance network.
l~rmer, nt,tltms like al gunte;~t
validity
mu,d Fn: c,,Iahllshed and ctm-
neLthHl'~ rl~u~.l |~' made with JXl(~nl?., ,nd rules ~1 Hllerent,¢. ~ui-
nltrl,ltlng ideall',' Ill ',,~undne~', and Ltmtpletene,,,, thet~rem',. }lut
unllerlvinu the h~glc"~ ~.enlantlL:~, there must P~
,k
~;erllafltlcs I(ir the
Itlglc',¢ underlvin~ I.lngthl~.e. alltl thl,~ ~.~.L~uh.I h~
~lkell
in terms ~l
'~uLh .i rltlfll~n
,1~
llldJflnitt,~.
Ilere. tvpltallv, .in inlerpret.dlL~n lunc
tl(in IS e~tahllshed P~t~.~.een
K"*'tttdLtlCa[ iter11~ Irtlnl the language l,
and ~lntt~l~lc;Jl items Inml rile "~(~rtd'" W lhat the langua~de is t()
de~t, rlt)e.
J'hts,
m turn. ~ u~,uall~, at.conlphsiled
b','
dexcrdlm~ the
'Aorld in .in{ither language. 1, . and '~htl~.lng that /'. and /'4 are
nld.ll'l(in;ll V,lrt;infs hv ,~ho',X.'lng that
tile'*'
,ire l~m{)rphl(
Recentlv. hngu~sts and phdosopilers have at'cued for the
~ml'*~lrranke (~1
intenaional
,~ muntlt:S For natural languages (t;l'. ~lon-
tat;tie 1(~7.1. I~ar,~ms 1981). Rapar~lr? 1981L \t the same t~me, com-
putat~tmal Ilnt~ulS(~; and ~ther \1 researche~ have n~£un [o
re~:{)g-
nt/~ tile ii~lr~rtanke (~1 representing intensIonal entitles (cl. \,V(x)ds
1975. IIrachman 1979. Mc('arthv 1979. \lards and ~,hap~ro 1982).
It ~ems rea,~)nahle t|laI .~ ~mantlcs For such a repre'.~entatl()nal sys-
tem should ~tself he an mtensmnal ~mant~cs. In tht~ paper. 1 ()ut-
line ~,.'eral fully tntensttmal semantlc.S for ~nten,cltmal semantic
net,x(~rk~, hv discu~sHag tile relatmns between a semantic-network
"!anguage'" /, :~nd ~','eral ~anthdates For L w . For /,. I Focus on
~,haptro's propositional ,Semantic Network Processing System
(SNell.': Shaptn) 1979). For which Israel (1983) has offered a
I'w~sible-w~lrlds semantics. But p~stble-worlds semantic,s, while
countenancing mtenmonal entities, are not fu/,/y intensional, since
they treat mtens,mal entities extensionally. The L w s 1 di~uss all
48
have t'ullv intenslonal components.
2.
SNePS.
A SNePS semantic network (Fig. 3) is primarily a proposi-
)
/
Fig. 3. A SNePS representation for
'A l~rson named "John" ha~ the proper~F of being rich.'
tional network (see below), it can. however, als,) he used to
represent the mherttabthtv of properties, e~ther hv explicit rules or
by path-based inference (Shapiro lq781. It ctins~stx of labeled
nodes and labeled, directed arcs satl~fwng (inter alia) the folh)wmg
condition (of. Malda and Shapiro lq82):
iS) There is a I-I ~orrespondence betv, een nodes and represented
concepts.
A concept is "anything about whtch mlormat~on can he stored
and/or transmitted" (Shapiro 197q: 179). Widen a semantic net-
work such as SNePS ~s u~d to model "the behel structure ol a
thinking, rea.~onlnt.,, language using be,ng" (Matda and Shaptru
1982: 296: of. ~';haplro 1971h: 51.),;. the ct)nt.epts are the oh)ectx of
mental (i.e mtentu)nal) acts u~.h as thinking, behev:ng, wishing,
etc. Such oblect,~ are mren~mal i~.t. Rapaport l()7g).
It t'ollov,'s I rc,m (%) that the arcs do not represent concepr-s.
Rather. they repre',ent binary, structural relations between con-
cept.s. If ~t )s des)red to talk about certain relations between con-
cepts, then tho~e relations must be represented by nodes, smce they
have r.neJt become objects o= thought, =.~, concepts. In terms
of
Oume's dictum that "t~ be is to be the value of a [hound] variable"
(Qume 1980: 15; cf. Shapiro 1971a: 7q-80). nodes represent such
values, ar~s do not. That Is. given a domain of dlscours~ mcludlng
~tems, .'~ arv relations among them, and prolX)S~tions SNeP% nodes
~,ouid be used to represent all members t)l the domain. The arcs
are used to structure the items, relations, and p)(,I')()'~tJons ,)l the
domain into ((:chef.) prl)p(~sltmns. As ~n analogy, SNel)% arcs are to
%Nel). ~, nodes as the svmn()ls '~" and "+' are to the symbols %', '5.P'.
ond "VI )' in the rewrite rule: S -, ";I ) + VI ). It ~s because m) prorxts~
t~ons :are represented hv arcs that SNel)% ts a "pr()rx)sltlonal" seman-
tic network (c:. Maida and Shapiro 1982: 292).
When a ~manttc network such as SNePS is u~d to model a
mind, the nodes represent only intensional ~tems (Maida and
Shapiro 1982; of. Rapaport 1978). Simil-',rly, if such a
network
were to be used ~s a notation for a fully lntensional natural-
language semantics (such as the semantics presented in Rapaport
198-1 ), the n(~es would represent only mtensional items. Thus, a
semantics for such a network ought )tsetf to be fully mtensional.
There are two pairs of t3tpes of nodes in S.Nel)S: constant and
variable nixies, and atomic (or individual) and molecular (or propo-
situmal) nodes. (Molecular md~wdual nodes are currently being
implemented: see Sect. 7. 8. For a dt~usstt)n ol tile semantics of
varmble nodes, see ShaDro 1985.) Except for a few pre-de)ined arcs
for u~ by an inference package, all arc labels are ~hosen by the
user: such labels ,re completely arbitrary (albeit often mnemonic)
and depend ,m the domain being represented. The "meanings" of
the labels are provided (hv the u~rt only by means of explicit rule
re)des. ',~.hlch allo~' the retrieval ,)r constructam (by referencing)
of
pr(~l'xtsltlonal
ntvJes.
3. ISRAEL'S POSSIBLE-WORLDS SEMANTICSFOR SNePS.
David Israel's semantics f~r SS, ePS a~sumes "~he general
framework of Knpke-\lontague style model theoretic a~counts"
(Israel 1983: 3), presumahlv because tie takes tt as "quite ~lear that
[Malda and Shapiro] vnew their formahsm ,isa '~,lontague type
type theoretic, inten,~uonal system" (Israel 1983: 2). lie mtrc~luces
"a domam I) ,,I i')()~.sible entitles, a non empty ,~t / ( . ,)l ~)~.Sl-
ble ~.or[ds), ,lnd
l
distinguished element w (~) I h) represent
the real world"(Isra¢l Iq83: 3). \n individu,d,',)ncept )s a lunc
rlon ic : I ~ I). linch constant mdiv)dual %Nel)% node =~ m,N.leted
hv an
ic;
variable mdl~)dual m~ies are handled hv ".~.~)gnments
relative to such a model", l[()~.c,.er, predicates which, the reader
should re,.all, are al.~) represented m %\el)% hv t.~mr, tant mdlvlduat
n(xJes~are modelled as lunctl,,)ns "I r()m / tn!i~ the p()~.er set ol the
set ol redly)dual Loncept~" J)ror~),,)tlonal nt~Je,~ are mL,.ielled bv
"'functtons from / mto{Y . I'}."alth~)ugh Israel Icets th,~t. "hvr~r-
mtens.mal'" h,glc ~,,uld Ix~ needed m ,,rder t,, h.ndle proD,.~Uonal
attitudes.
Israet has dlthL.ultv mterpretln~ \II!MIII'.R. ('I.AS%. ,,nd [SA
arcs in this Irame~x'~)rk. "l'hl~ is to be eM"~.tcd for tx~,,, reasons.
Ihr~r. i) is arguahtv a mistake to
i~.terpret
them (rather ~han g~,, mg
rule~ lot them}, since they are arcs, hence arhttrarv and
rain-
conceptual.
Second, a pos.slhle-worlds semantics is not the best
approach (nor ~s tt "clear" that this m what Ma=da and Shapiro had
in mmd indeed, they explicitly reject it: cf. Malda and Shapiro
1982: 2c)7}. Israel himself hints at the mapproprlatene.~ ol this
approach:
H" one )s l'(~u.~ing on prop(~monal attitude{s} =t can
seem hke a waste ol time to mtroduce m(Mel-the~ret)~, ac-
counts()l'intens.)nahrv at all. Thus the air of de~F)erat)on
alx~ut the loregomg attempt (Israel !O83: 5.)
More~wer and sigmficantlv a possible-worlds approach ms mis-
guided it' ,,ne wants to be able tn represent intpossible oh)errs ~r, ,,ne
should want to it" one ts doing natural-language semanttcs (Rapa-
I~)rt 1")78. 1981: Routlev 1979). A fully mtensmnal semantic net-
work demands a :ullv mtenstonal semantics. The mare rival to
klontague-stvle, p(,~,,~hle worlds semantics (as well as tt) ~ts close
kin. '~ltUatlon sem~nllL% !lklr~.~.l'.:.e and Perry lq8311 ~.~ Meinot~iatt
~emonlics.
4. MEINONG'S TIIEORY OF OKJEC'TS.
A!cxlus Metnong's (19(M) theory of the oh)e~ts of psvchologl-
~i acts ~s a more appropriate foundation for a semantics of proposi-
tional semantic networks as well a.s for a natural-language seman-
tics. in brier, 5,1emong's the()rv camsists of the f~)llo~ing theses (c|'.
Rapap)rt 1976, 1978):
(MI) Thes/s oj"
Intentionality:
livery mental act (e.g., thmkmg,
believing, judging, etc.) is "directed" towards an "ob.)ect".
l'here are two kmds of Memongian objects: (I) objecta, the
individual-like oh}ectx of such a mental act as thmking-of, and
(2)
44
objectives, the proposttlon-hke objects tat such mental acts as
believlng(-that) or knowing(-that). E.g the object of my act
of
thinking of a unicorn is: a unicorn; the object or mv act of believ-
ing that the I~rth is flat is: the Earth is flat.
(M2) Not every object of thought exists (technically, "has being").
(M3)
It is not self-contradictory to deny. nor tautologous to al'firm.
existence of an object of thought.
(M4) Thesis of Au~sersein: All objects of thought are ausser-
se/~nd ("beyond being and non-being").
For present pur~ Aussersein ts most easily explicated as
a
domain of quantification for non-existentially-loaded quanttfiers.
required by (M2) and
(M3).
(MS) I!verv oblect of thought has properties (technically. "Sosein").
(M6) Principle of Independence: (M2) and (MS) are not incon-
sistent. ( For more d,~'ux, c,on. if. Rapal~rt I984c.)
('atoll'dry: liven oblectx
of
thought that
do
not exist have
properties.
(M7) Principle of l"teedom of Assumption :
(a) I!verv set ol properties (S, asein) ci~rres(~mds ti~ ,in ~hlect
~fl" thought.
(b) livery oblet:t t~l thought can be thought ol (retatl'.e to
certain "perfornlance'"
IlnlltiltlonsL
(x,18) ~me objects of Ihought are ,ncomplete (i.e undeternllned
with
respect t(a ,~lme prtIpertleSL
(Mg) The meaning tal every ~ntence ;anti noun phrase Is an -hi~ct
~I thought.
It should be obvious that there is a close relationship between
Memong's theory and a rullv mtensnonat ~mantlc network hke
%NePS. SNel)S it.'.,elf ts much hke .4usse~ein; %haplro (personal
communication) has said that all nixies are :mpIncntlv m the net-
work ,ill the ume. In particular, a SNePS base (i.e attempt constant)
n(xJe represents an ohlectum, and a %NePS pr(q'x~ltn(mal nixie
represents :in ,~hlt~tnve. Thus. when %NeP% ,s used as a mtx.lel ~,1 ,~
mind. pr(q'xxstttonal taxies represent the able, tires ol behels (d.
Matda and ~hapnro 1982. Rapal'~rt and ~,hapiro 1984. Raparxwt
!984b;; and When S\-l )':, t,¢ used xn a natural language pr(x:e~.,~ing
system tcf. Shaptn) 1982. Rapal~)rt and %hapirn 1984). Lndivtdual
nixies represent the meanmgs ill' noun phra~s and verb phrases, and
pr(arx~slttonal taxies represent the meannng'~ (af sentences.
Memong's theory wa.s attacked by llertrand Ru~setl tan
gr, aunds of inconsistency: (1) According t(a Meinong, :he round
square is boil: round and square (mdeed. this ,s a tautology); vet.
according to Rus~ll. ~i" ~t is r(aund, then ~t ~s not square. (2) %lm~-
larlv, the extsung .~{)lden mounuHn must ha;e .ill three
of
its
definmg prtaperttes: benng a m(,untam, h~mv ~,,lden. and existing;
but. as Russell re)ted. I: doest(t exu'~t. I('l. Rapapt~rt 1976. 1978 It)r
rel erences.)
There have bee.n several I.rmahzatnons ,fl Melnonglan
theories in recent philosophical literature, each of which overcomes
these problems. In ~ul~,,quent ce~tnon.~ I briefly de.~rxbe three of
these and show their relatmnshir~ to SNePS. (Others, not described
}'.ere. include Routlev 1979 cf. Raparx~rt lqg4a and Zalta 1983.)
5. RAPAPOIIT'S THEORY.
On my own reconstruction of Meinong's theory (Rapaport
1976, 1978 which bears a coincidental r~mblance to McCarthy
1979). there are two types of objecLs: M-objecta (i.e~ the objects of
thought, which are intensional) and actual objects (which are
extensional). There are two modes of predication of properties to
these: M-objects are constituted by properties, and both M- and
actual objects can exemplify properties. For instance, the pen with
which l wrote the manumnpt of this paper is an actual object that
exemplifies the property of being while. Right now. when I think
about that pen. the object of my thought is an M-oblect that is con-
stitLaed (in part) by that property. The M-object Jan's pen can be
represented as: <belonging to Jan. being a pen> (or. for short, as:
*J. P>). Ileing a pen is also a constituent of this M-object: P c
<J. P
>; and 'Jan% pen is a pen' is true in virtue of this objective.
[n addition. <J. P > exemplifies (ex) the property of being consti-
tuzed by two properties. There might be an actual (abject, .say. ~.
corresrxmding to <J. P >, that exemplifies the property of being a
pen (iv ex /" ) as well as (say) the property of being 6 inches &rag.
But being 6 inches long ¢ ('J. l" ",.
"['he M-object the round square. • R. A' ",. IS c,nstntuted bv pre-
cn~ly two properties: being round ( R ) and being ~uare (S): "The
round square is round' is true m virtue of this. and 'The round
~uare ts not .~luare" ts fal~ ,n virtue of it. But (R, S > exemplifies
neither of thine pn)pertles, and 'The round ~quare ts not ~uare" ts
true
In virtue of lhtll, i.e., 'I'~" Is .imhl~UOUS.
An ~'| tlhleCt o eXl ls ill there is .n .ctu. I ,~hleCt tl th.t Is
"'"kin-correlated'" wnh It: ,, extsrs lfl' 3(,[ t, %( "o] Iff"
]c~l"[l'" c o • ,tex 1'"
1.
X, ole th.t
tnct~nlplete
oble~.ts, such am
.Y. I'',. can ex,st. Ih~wever. the \t hle¢ t the existing golden
mountain. < E. (i. M >, has the property t,l exnstnng ( hecause
1:" C , 1:'. (;, M >) hut does not exnst (because 3t~{t* S(7
• I:'. (;. M >]. as an empirical fat.t I.
The mtensmnal fragment ol this theory can he used to pro-
vnde it semantics I.r %NeP% m mut.h the ,~lme way that It can been
u.,~d ttl provide a ,,emanttt.s lt)r natural languaEe (Rapap(irt 1981).
%Nel)9; hase nodes can t~ taken to represent \1 t~b~ecta and prl)pertles;
%Nel)% prt}rx~ltlimal IIIM'kN L.n i've taken t(~ represent \1 oh~ectlves.
Twu ,ilternatixe'~ ix,r networks, rcpre'-~:nIlnL, tile three \| ,ff~lectlves:
R t. • R.S',. .%' L • R.S , rod
,R.S;, ex bein e
iml~ible
are
~,ho~.~. n in l:ig,~. 4 ,nil 5. Ir}le ,,¢.,Lolid Lan }~' it,ceil t()d~.iud "'('lark's
Fig. 4. A SNePS repro~n~tion of
"The round square is round', 'The round square is square',
and "The round square is impossible' on Rapaport's theory.
paradox"; ',.ca. Rapalx,r! 1978. It~82.) ,-\Ltual (i.e extensnonal)
oh~cts, however, sht~uld nl~t be represented (~1, \lalda and %hHplrl)
1982: 2t~h t,~). I'. the extent to which %uch ot)le~ts ;ire essential to
this %|etnon~lan Iheorv. the present thei~rv Is r~r|lap~; an map-
proprtate tree. (A similar remark holds, of course, l'or Mc('arthy
1979.)
6. PARSONS'S THEORY.
Terence Parsons's theory of nonexistent oh]eeLs (1980; cf.
Rapa~x~rt 1976. 1978. 198.5) recognizes only one type of ob]ect
intenstonal ones and onl~" one m(xle of predlcatton. But it has two
45
Fig. 5. An alternative SNePS repreuncation o£
'The round square is round', ~rhe round square is square',
and "Tho round square is impossible' on Rapaport°s theory.
types ill" properties: nuclea~ and extranuclea~. Tile tormer
includes
all "ordinary" properties such as: being red. being round, etc.; the
latter includes such properties
as:
existing, being ~ml~t~sthJe. etc.
I~u[
the thstlnctnon
ts
SlurrY,
s, nce
for each extranuclear pn~perty,
there
Is a ct)rresl~)ndlng nuclear one. J:or
ever',' set ~d nuclear
prtt
pertles, there
Ix a
unique ohlect that has ~nls,"
rh,w,e
prt~l~rt~es.
Existing ohlects must he ct~mplete (and. ~tf ct~urse, ctmslstent).
though not all such ohle~ts exist. For instance, the Morning Star
and the I:'vening Slat don't exist (tl th~ are taken to ct)nsnst,
roughly, of only two properties each). I'he ~ound square, of course.
ts (and only ls~ hits round and square ,and. ~, ~sn't non-square;
through tt is. for that rea~am, lmp~.xsd~le, hence not real. ks for the
existing golden mountain, exintence ix extranuclear. ~l the set ~1
these three properties doesn't Ila~.e a cttrre.~p~mtlung ~)htect. There is,
however, a
"'watered do~
n".
nuclear ~ersion ,~1
existence, and there
is an ex=stm~ golden mountain that has Ihat property; hut it didn't
ha',e the extranuclear property ~,1 existence, and. '~ ~t doesn't exist.
Parstms's the~lrv could pn~ tdea semanticsfor SNeI>S. though
the use of two types of properties pla~ restrictions on the po~tble
uses of SNePS. On the other hand, SNePS could he used to represent
Parsons's theory (though a device would be needed for marking the
d~sttoctlon between nuclear and extranuclear properties) and, hence.
tt~ether with
I)arrams's
natural language semantics,
to
provide a
hX)t f(}r
comptit:ttit)nal linguistics. Fig.
h
suggests
how
tilts might
be d~me.
Fi~. 6. A SNePS representation of
The round square is round, square, and impossible'
on Parsons's th~orT.
7. CASTANIrDA'S THEORY.
Ilector-N~ri Castan'eda's theory of "guises" (1972, 1975a-c.
1977, 197q. 1980) is a better .~ndidate. It is a fully intensional
theory with one type of oh!oct: guises (intensional items
corr~ponding to ~t.q ,if properties), and
one type
of property. More
prettily, there are properties (e.g., being round, being square, being
blue ). ~ees of these (called guise cores: e.g., {being round, being
squaret),
and an ontic counterpart, c, or the detimte-descriptlon
operator, which ns used to form guises; e.g c{being round, being
square| is the round square. Guises can be understood, roughly, as
things-under-a-descrtptmn. ~,s "facets" of (physical and non-
physical) ob.l~t.s, as "roles" that ohjecr,s play, or, in general, as
objects
t)l"
thought.
Gui~ theory has two modes of predication: internal and
external In general, the gui~ cl F } is-internally t'. I: g.,
the gut~ (named by) the round square is-mternally only
round
and square. The two guises the tallest mountain and &It. Everest
are related hv an external mode of predication called consubstantia-
lion (C'*). Consuh~tantmtnon is an equivalence relation that is u~d
in the analyses of (I) external predication, (2) co-reference, and (3)
existence: l,et a = c { /" } be a guise and let
a[fi l =~f c({. . . 1" } u l(; }). Then(I)a ~s-externally(; (in one
,sense) if C~(a. a[G ]). For instance. "the Morning Star ts a planet' is
true because C~( c t M. S }, c { M . S, P }): i.e the Morning Star and
the Morning Star that is a planet are consul~tantlated. (2)Gut~ a
"is the ~me as" gul~ b .I and ~mlv d" ('*ab. I:~r instance, 'the
M~)rnlng Star tx tile ~me as the Evening Star" ~s true because
("(tIM.S}. ~.Jt",S}). \nd (31 ,t
exists,
tl ,Had ~niv H 'here I~ .t
guise b such that (",lb.
Amtther e\ternal nl,~e td' predt~atl~)n ~x ~,msociati, n
(('").
This ts al~ an equivalence relalltm, hut t~ne that holds between
gu0se~ that a m0nd has "put together". ~.e between gulwes m
"behef space". I'(~r unsran~.e, (" "(llamlet. the Prm~,e ~f I)enmark J.
("
anti
C"
ct~rre~p~md alm~sr exactly r(~ tile use ~t tile
I'OUIV art sn 'q,NePS. \lalda and Shap~n~ ~I'IS2: );1131~ u.~ the
I-{)UIV ca~-frame to represent t,o relerence f ~vhlch us ~hat ('" us),
hut, .~s I have suggested In RapaI~rt lt~84h. I:(J('l\" m~re prnpertv
repre~ntx believed ct~ relerence
~A,'hl~.h Is '~'ltat
(''= IS.
It
sht~uld
he
clear
h,~
gu:~
the~rv can pnw~de
a
~mantncs It)r 'qNeP%. Ilg.
7
";ugge'~ls h~v. thus m~t, ht h~ done.
%~nle
pn~hlems remain,
ho,x
ever:
in p.lrtlcular,
the need t~ pn:,tde
,=
SXeP ~, ~t~rrel,te lt}r mter
hal predt~,at~t~n and the retlu~renlent ~1 explicating external predica-
tion
In
terms ~1 retatl~n~', like (" . Note. h~, tha! nt~des m3. mS. and
m8 in F!y. 7 ;ire 'structured illdl~.ldtl.~ls '" -a ,~rt ~1
molecular
h;~se
nixie.
g. CON(~L USION.
It ~s p~,sthle rn provide a tully tntenslonal, nt)n-fx~,'~ahle-
w(~rlds ~malltlCS for
~NePS
and
similar
,~emanttc net~.v~rk f(wmal
tsms. "l he tnt~t strat~,htlttr~.vard way ,s h~ use ~,letmmg's thet~rv ~)l
ohlects, though thus the~rv has tile dx.,,ad~antage ,~t not being f~,r-
mah/¢d. There are several extant formal ~.|emon~lan theorte~ that
can t~ u.sed, t|t~;u~h eaLh has L.ertaln dt~tdvantages or pn~hl~mr;.
Two hnes ,ff ,e~earch are currently being inv,~;tlgate~d: (1) Take
~.Nel~F, as :s. and prnvide a nov,', formal Memonglan theory I',~r Its
semanth.: ~~,u,'tdatl~)n. Thin has not been discussed here. hut the wav
to do this sh~luid be clear: from the p~.s.slhtlittes examined ab~lve.
My t~v,'n theory (strspped of Its exten~mnal IragmentJ ~)r a
m(Cdl~;:il~n (~| (',istaRetia'y~ rllel~rv ~'enl tile me,st pronll~ln~
appn~:u.he~. {2~ Modnlv S~.eP% '~ that ~n~ ,,I the extant lormal
\lenn~;n~.)an ttl,t~rtc.s can ~ ,a~ used. S3,eP~ ~s, nn fact, ~.urrentIv
|~nn[. m,~dlhed hv tile SNePS Research [intup-lor independent
rea a,l'.S
-
'n v,'avN that make it cheer to ('.=,,talleda's guise theory,
hv :he tnt."(xlUCtlon of structured mdt~,uduals "hase nodes" with
descending arcs for indicating their "internal ~tructure".
ACKNOWLEDGMENTS.
This research was supported in part by
~ilSN'I'
Buifalo
Research DeveJupment Fund grant ~150-9216-F. I am grateful to
Stuart C'. Shapiro, Hc,~tor-Nen Ca.stallreda. and the members of the
SNePS Research Group for comments and discussion.
46
'r-
(Evening Star) ~ ~
(Morning Sta~
~ @_orning
Star
[plane't.~
Fig. 7. A SNePS representation o£ "l'he Morning Star is the Evening Star' (m6)
and 'The Morning Star is a planet' (m9) on Castaneda's theory.
REFERENCES
Barw,se. Jon. and h)hn I)errv. Situations and Attitudes (( 'amhrtdge.
\la~s.: MIT Pres.s, 1983).
t~hrow. Daniel (; and Terry Wmognld.".An (Iverxlew oi KRI a
Knowledge Representat|on I.anguage.'" ('ognitive Science
I( 1977)3-46.
Brachman. Ronald J "~,'hat's ~n a ('oncept: Structural Foundattons
for C, emantlc Networks, ~ Int. J. Man-Machine Studies
c~ 1977)127-52.
"()n tile I~pmtemolog~cal Y, tatu,~ ,f ~mantlc 3.et-
works," in Findler 1979: 3-5o.
"What IS-A Is and Isn't: An Analysis of "l'axont~msc
I.inks m Semantsc Networks," (hm~pute~ I h(( )~t. 1983)30-3h.
Castarteda, Ilectnr-Nen. '"l'hmkmg and tile Structure t~1 the World"
[1972). Philosophia 4( 1974)3-4o" reprinted in 197,1 in ('~itica
6( 1972)43-8h.
"lndi,.ldu`als and N,n-ldent~tv: A \e',~ I.t~k.'"
American I'hil. ()tly. 12( 1975a ~131 .11 ~.
"Identity and ~a mene~s.'" I'hilostwhia
5( 1975hH 21-5tL
, I'hinking and Ih~ing tlh~rdret.ht: I). Retdel.
I q75c).
,
"Perception, I-~liel, and the Structure of Physical
( )bject.s and Consc:ousness." Synthese 35( 1977)285-35 I.
,
"Fiction and Reality:
"l'hesr t~as,c
Connections."
Poetica 8( 1979)31-62.
"Reference. Reahtv. :,nd Perceptual Fields." Proc.
and Addresses American Phil. Assoc. 5311981))763-823.
Findler. N. V. (ed.), Associative Networks (New 'fork: ,Xcademlc
P rer~s. 1"979).
Ilendr~x. (iarv (i ~]-nc(,~l:n~ Knowledge in I)art~tl(med \et',v.rks,'"
in Findler I,,~79: 51 c~2.
Israel. I)avtd J., "Interpreting Netw~rk F~lrmahsrns,'" m 3,. (?erc~me
led.). Computational /,ineuistics (()xlord: I~ergamon Pres.s,
It183): I 13.
Kneale. Wdham, and Martha Kneale. The I)evelopmrnt of I~:gic
(()xlord: Clarendon Pres.s, 3rd printing. 19hh}.
h, retzmann. \orman ( trans, and ed.L WiUiam of S~e~ wood's "" Int, o
ductihn to Logic" (\linneafx~hs: Ln~,,. of ~linn. I're~,~. 19~¢,).
\1aide, -~nth(m~, %, ,and ~,tuart
('.
Shaplrt~. "lnten,:~tmal ('t~nceprs m
I~rol',om t tuna I ~mantic Net w,~rks," Cugnitive Science
~( 19821291- 3.~ I.
Me( ?arthv, J., "First ()rder "l'hes~nes .f Indiv:oual Concepts anti Pro-
p~sit~ons," in I. I Ilaves. I). :'.tichie. and I M~kulich (eds.),
Machine Intelligence 911 ;hlchester. Eng.: I-Ihs II~rw~.l. 1979):.
1 21~ .17.
\1cl ~:rm,~tl. I )rev~. "-\r~lllcl`al Intelligence \leers Natural ~;l.upldltv.'"
~n I. Ileum, el`and fed.!, Mind Design: I'hiJo~ophy I'sychob~gy.
.~tifici.I Intelli~,,rmc l('.mhrldge: ~.ll'l IJr~s~. 19~1 ~: 147, h4~.
'vle=nimE, \lexlus. "(~her (;et:enxtandsthet~ne" (191}.1), in R. Ilaller
(ed.). Alexiu.i Meim,ng (,e~amtau.~gobe. \'~}l. II ((;raz. Austria:
Ak`ademl~he I)rut.k u. \erlag,.anstalt, 1~71;: 481-535. I-nghsh
translat.m ("The 'l'he~rv ,~t (}hle,~t'~")
hv
[. [.¢vl et el In R. XI.
( "h]shcdm (cal.). Rettli~m and Ihe /Itl~'kgr f~utht ,~j" I'henomenology
( New "f~rk: Free Prcss, 19h1)): 7h- I 17.
\lontague. Richard. I",,~mttl I'hilo.s, why. ed. R. II. l'homa~m I New
Ilaven: Tale 1 n~v. I're,~s. 1974).
Perkins. Terence. Nonexistent t)bjerts (New llaven: Yale Lntv.
Pre~s. 1 '~,~ ~).
Oullhan. \1. R~'~, '%emant~c ~,lemt~rv,'" m \I. Minskv (ed.). Semantic
lnfo~mation I'roces.sing ¢('amhr~d~e: ~,11"1" Pres,s, l~)hS): 227-e~6.
Qulne. Wilhlrd Van l)rman. "()n What There I'C" m I'~om a Logical
Point of ~'iew ( ( ?am hnd~e: ] la rye rd 1. n, v. I're~.s. 2 nd ed 198~)):
1-19.
Rapaport. WiIham I Intentionality and the Structure of
Existence. Ph.D. d~ss Indiana troy Iq7h.
"S.lemonglan "l'het,rles and a Rus.~eihan Parad~x.'"
Nous 12( 1978)153 ~11: err;de. Nofls 1311t~7t~H 25.
• "'ltow ~,~ \lake the World I:tt ()ur I.an~uage: \n
I-,~sav in
\lelntm~t~,n ~mant~cs.'" (,ta:er I'hil. Studien
1-111981H-21.
"Me~mm'g. I )efective ( )h.lects. and ( Psycho-II .,,~-`al
Paradox." Grazer Phil. Studien 18( 1982)17-39.
Crittcal 3.otice of Routley 1979, Ph/L and
Phenomenological Research 4,.11 I q84a )539-52.
• "l~lief Representat~(m ,and ()uasl-lnd~cators." "l'e~h.
ReI~'~rt 215 ('q[ N3" I~,utf`ah, l)~pt. ~1 ('~mputer ~ence. Iq~q4h).
Re'.'le~ ,,I I.amt~ert',~ Meinong and the P~incipte
t,J" lndet~etuh,nce. Tc~.h. Relx~rt 217 ~,U3.Y I~uffalo l).ept.
~t"
("ompuler ~,tlence. 1~8-1c); I~rtht~,,~mlng in J. Symb,~lic Logic.
'"1"~ I~ and Not to lie," Noes 1~ 19851.
,nd Stuart (:. Shapmx "Ouas~-Indextcal Reference
in Pr(~rstslt:onai Semantic \et~.'orks.'"
Proc.
tOth Int. Conf.
(h~mputational I,inguistics 11 ?( )1 .IN(; 84 ) ( \h~rr~stt~w n, N.l: A~.~x:.
',
7omputat:~mal I.mgu~st~cs. I'48.1): 65 71~.
Routlev. Rtchard. I'xt~loring Meinong's Jungle and Beyond ((?an-
I~erra: Austrahan Natl. Umv Research Scherzi ol ~k~tal ~ences,
Dept. of Phdt~)phv, 1979).
Shapiro, Stuart (:, "['he MIND System: A Data Structure for
Semantic Information Processing, Re~x~rt R-837-PR (Santa
Moni~:
Rand Corporation. 1971).
47
_._, "A Net Structure forSemantic Information Storage,
I)eductlon and Retrteval."
Proc. IJC'AI
2(1971h)512-23.
"Path-Based and N~le-Based Inference zn ~mantlc
Networks," m I). Waltz (ed.).
Theoretical Issues in Natural
language Processing
2( 1978)219-25.
.__, "The SNePS Semantic Network Proces.smg System,"
in Findler 1979: 179-203.
, "Generalized Augmented Transition Network Gram-
mars For Generation From Semantic Networks,"
American J.
(~ompulational Linguistics
8( 1 q82)12-25.
,
"Sy/mmetrlc Relations, Intensional Individuals. and
Vartable Binding." (forthcoming, 1985).
W~xv,.ls. William A "What's m a I.mk: The Semantic.,; of Semantic
Networks." m I). (i.)~brow and A. M. ('oHins (eds.).
Represen-
tation and I/nderslanding
(New "fork: A~:ademtc Press, 1975):
35- 7~.
Zalta. I'dv~ard 4bstt
act Objects
( I h~rdret'ht: I ). Reldel. 1987,).
48
. Structure for
Semantic Information Processing, Re~x~rt R-837-PR (Santa
Moni~:
Rand Corporation. 1971).
47
_._, "A Net Structure for Semantic Information. ("Mem(mgtan")
semantics is apprt)prtate I(~r them. and se'~eral |eln(~nglan svstenls
are presented.
1. SEMANTICS OF SEMANTIC NETWORKS.
~emantlc