Causal models have no complete axiomatic characterization
Markov networks and Bayesian networks are effective graphic representations of the dependencies embedded in probabilistic models. It is well known that independencies captured by Markov networks (called graph-isomorphs) have a finite axiomatic charac…
Authors: Sanjiang Li
Causal mo dels ha v e no complete axi omatic c haracterization Sanjiang Li Departmen t of Computer Scienc e and T ec hnology , Tsingh ua Univ ersit y , Beijing 1000 84, China lisanjiang@tsingh ua.edu.cn Abstract Mark ov netw orks and Bay esian netw orks are effective gra p hic representations of the dep en - dencies em b edded in probabilistic models. It is w ell known that ind ep endencies captured by Mark ov netw orks (called graph-isomorphs) h a ve a finite axiomatic characterization. This pa- p er, ho wev er, sho ws that indep endencies captured b y Ba yesian net works (ca lled causal mo dels) hav e no ax iomatization by using even countably many Horn or disjunctive clauses. This is b e- cause a sub-indep end ency mod el of a causal mo del ma y b e not causal, while graph-isomorphs are closed under sub-mo dels. Keywords: causal model; axiomatization; sub-mo del; conditional indep endence; graph-isomorph 1 In tro d uction The notion of conditio na l indep endence (CI) plays a fundamental role in pro babilistic reas oning. In traditional theories of proba bility , to decide if a CI statemen t holds, we need to ch eck whether tw o conditional pro babilities a r e equal, which req uire summations over exp o nent ia lly large n umber o f v ariable combinations. This numerical approach is clea rly impractica l. An alterna tive qua litative approach is very p opula r in artificial intelligence, wher e new CI statements ca n be der ived logica lly without reference to n umerical qua ntities. Given an initial set of indep endence r elations, a fixe d (finite) set o f axioms ca n b e used to infer new indep endencies by log ical manipulations. A natural question arises: can CI relations b e completely characterized by a finite set of axio ms (or ca lled infer ence rules )? Pearl and Paz [5] in tro duced the co ncept o f se mi- graphoid a s an independenc y mo del that sa tisfies four sp ecific a xioms, a nd show ed that each CI relation is a semi- graphoid. L a ter, Studen´ y [6] gave a negative answer to this ques tion. But, mor e p ositively , he also show ed that (i) CI rela tions hav e a characteriza tio n by a countable set of axio ms [6]; and (ii) ev er y probabilistically so und axiom with a t most tw o a nt ece dent s is a co nsequence of the semi-grapho id axioms [7]. Although CI relatio ns in genera l hav e no co mplete axiomatic c ha racteriza tion, Geiger and Pearl [2] develop ed complete ax io matizations for satura ted indep endence and marginal independenc e – t wo sp ecia l families of CI rela tions. Graphs are the most common metaphors for co mm unica ting a nd re a soning a b out dependen- cies. It is not surprising that gr aphical mo dels is a very p o pular wa y of sp ecifying indep endence constraints. There ar e in genera l tw o kinds o f graphica l mo dels: Mar ko v net works and Bay esian net works. A Markov net work is an undirected gra ph, while a Bayesian net work is a directed acyclic graph (DA G). Geig er and Pearl [2] develope d an axioma tic bas is for the relationships b etw een CI and gr aphic mo dels in s tatistic ana lysis. They s how ed in particular that (i) every axiom for con- ditional indep endence is also an a xiom for g raph separ a tion; and (ii) every gra ph r e pr esents a consistent set of indep endence and depe ndence constraints. Mo r eov er, an early work of Pearl and Paz [5] gav e an ax iomatic characterization for CI r elations captured b y undir ected gr aphs (called gr aph-isomorp hs ). It w as also c onjectured [3] that CI re la tions captured by DA Gs (called c ausal mo dels ) may hav e no finite axiomatic characterization. In this pap er , we confirm this conjecture and show that ca usal mo dels have no complete char- acterization by a ny (finite or countable) set of (Horn o r disjunctive) axioms. W e achiev e this by 1 showing that a sub-mo del of a causa l mo del ca n b e not ca usal. This is contrasted by CI r elations and g raph-isomo rphs. Both ar e closed under sub-mo dels. It came to us very late that the same observ ation has b een made in [8 , Remark 3.5], where Studen´ y gav e just ba s ic a r gument. This pap er will provide a complete pro o f for this obser v ation. The remainder par t of this pap er pro ceeds as follows. Section 2 pr ovides pr e liminary defini- tions for indepe ndenc y mo de ls , CI r elations, graph-is omorphs, and causal mo dels. Sec tion 3 gives syntactic a nd semantic descr iptions of indep endency logic, and then formalizes the notion of ax- iomatization. Then in Section 4 w e discuss heredity pro p erty of indep endency mo dels. F urther discussions are given in the last s ection. 2 Preliminaries In this section we intro duce the basic notions used in this pap er. Our refer e nce is [3, 4]. In what follows, if not o therwise stated we assume U is a finite set, and write ℘ ( U ) for the p owerset of U . The notion of conditional ind ep endency (CI) pla ys a fundamental role in probabilistic r easoning. Definition 2.1 (co nditional independency , CI) . Let U b e a finite set of v ariables with discrete v alues. Let P ( · ) be a joint pr o bability function ov er the v ariables in U . F or three dis jo int subsets X , Y , Z o f U , X a nd Y are said to b e c ondi t ional indep endent given Z if for all v alues x, y and z such that P ( y , z ) > 0 we hav e P ( x | y , z ) = P ( x | z ). W e use the notation I ( X, Z , Y ) P to denote the conditional indep endency of X and Y giv en Z . The set of all these CI statements for m a terna ry relation on ℘ ( U ), called a CI relation. In general, we hav e Definition 2.2 (independency mo del [3]) . An indep endency mo del M defined on U is a ternar y relation on ℘ ( U ) which satisfies the following condition: ( A, C, B ) ∈ M ⇒ A, B , C a r e pa irwise disjoint. (1) A tuple ( A, C , B ) in M (out o f M , re sp.) is called an independence statement (a dep endence statement, resp.). W e write I ( A, C, B ) M to indicate the fact that ( A, C, B ) is in M . Two o ther cla sses o f indep endency mo dels arise from gr aphs, where the notion of separ ation plays a key role. Definition 2.3 (gra ph separa tio n [3]) . If A, B and C are three disjoint s ubsets of no des in a n undirected graph G , then C is said to separa te A from B , denoted h A | C | B i G , if along every path betw ee n a no de in A and a no de in B there is a no de in C . The indep endency mo del consisting of a ll g raph sepa ration insta nces in G is a gr a ph-isomor ph. Definition 2 .4 (gr a ph-isomor ph [3]) . An indep endency mo del M is sa id to b e a gr aph-isomor ph if there exists an undirected gr aph G = ( U, E ) s uch that for every three disjoint subsets A, B , C of U , we hav e I ( A, C , B ) M ⇔ h A | C | B i G . (2) F or directed acyclic graphs, a s imilar separatio n prop erty was defined. Definition 2.5 ( d -separa tion [3]) . If A, B and C are three disjoint subsets o f no des in a DA G D , then C is said to d -separa te A from B , deno ted h A | C | B i D , if along every pa th b etw een a no de in A and a node in B there is a no de w satisfying one of the following tw o conditions: • w ha s co nv erging ar rows a nd none of w or its descendants ar e in C ; or • w do es not have con verging arr ows and w is in C . The indep endency model c o nsisting of all d -separa tio n instances in a DA G D is a causal mo del. 2 Definition 2.6 (causal model [3]) . An indep endency model M is said to b e c ausal if there is a D AG D such that for every three disjoint subsets A, B , C of U , we hav e I ( A, C , B ) M ⇔ h A | C | B i D . ( 3 ) It was prov ed by Geiger and Pearl that, for every graph-iso morph (causal mo del) M o n U , there is a probability distribution P on U such that M is pre cisely the CI relation induced by P [1, 2 ]. 3 Indep endency logic T o forma lize the no tion of axio matization, we in tro duce the indep endency logic I L . Although I L is a fragment o f first-orde r logic, we are ma inly concerned with its prop ositional counterpart. The lang uage of I L has as its alpha bet of symbols : • v ariables X 1 , X 2 , · · · ; • the constant ∅ ; • the ternary predicate I ; • three function le tters: − , ∪ , ∩ ; • the punctuation s y m b o ls (,) and ,; • the connectives ¬ , ∨ , ∧ T erms in the indep endency logic are defined as follows. Definition 3 .1 (term) . A term in I L is defined as follows. (i) Consta nt and V a riables a re terms. (ii) If T 1 , T 2 are terms in I L , then − T 1 , T 1 ∪ T 2 , T 1 ∩ T 2 are terms in I L . (iii) The set of all terms is g enerated as in (i) and (ii). Using the unique pr edicate I , we ca n form atomic formulas. Definition 3. 2 (atom, literal, clause ) . An atom in I L is defined by: if T i ( i = 1 , 2 , 3 ) ar e terms in I L , then I ( T 1 , T 2 , T 3 ) is a n atom. A literal is defined to b e an ato m (called p ositive literal) or its negation (ca lled negative literal). A clause is the disjunction o f a finite set of literals . F ormulas in I L ar e defined in the standar d wa y . Definition 3.3 (formula) . A for mula in I L is an expression inv o lving ato ms and connectives ¬ , ∧ , ∨ , which can b e for med us ing the r ules: (i) Any atom is a formula. (ii) If A and B are fo rmulas, then so are ( ¬A ), ( A ∧ B ), and ( A ∨ B ). In the rest of this pap er, we sha ll so metimes omit pare ntheses, as lo ng as no a mbiguit y is int r o duced. Since implication statemen t are conv enient for expressing inference rules, we define ( A → B ) as an a bbr eviation o f (( ¬A ) ∨ B ). As a c o nsequence, each clause k _ i =1 ¬ I ( T 1 i , T 2 i , T 3 i ) ∨ l _ j =1 I ( T 1 ,k + j , T 2 ,k + j , T 3 ,k + j ) (4) can b e eq uiv alen tly repr e s ented as an implication (or r ule) k ^ i =1 I ( T 1 i , T 2 i , T 3 i ) → l _ j =1 I ( T 1 ,k + j , T 2 ,k + j , T 3 ,k + j ) . ( 5 ) Clauses are o f particular imp o r tance in axiomatizatio n of indep endency mo dels. 3 Definition 3. 4 (Horn and disjunctive cla uses) . F or a cla use C o f form Eq. 5, C is called a Horn clause if l ≤ 1, and ca lled disjunctive o therwise. Above we in tro duce d the syntactic par t of I L . Next we turn to s emantic notions. Definition 3. 5 (v aluation) . Let M b e a n independency mo del defined on U . A v aluation in M is a function v : { X 1 , X 2 , · · · } → 2 U . V aluations ca n b e extended in a natural way to terms in I L . Definition 3.6 (v alid v aluation) . Let A b e a for mu la , and le t M b e an independency mo del defined on U . A v aluation v in M is valid for A if for each atom I ( T 1 , T 2 , T 3 ) a pp e ared in A , v ( T 1 ) , v ( T 2 ), and v ( T 3 ) are pair wise dis joint , where v ( T ) is the v aluatio n of T in M . The notion of sa tis fa ction is defined in the standa rd wa y . No te that if v is v alid for A in M , then it is a lso v alid for any sub-formula B o f A in M . The following definition is therefore well-defined. Definition 3 .7 (satisfaction) . Let A b e a formula, a nd let M b e an indep endency mo del defined on U . A v aluation v in M is s aid to satisfy A if v is v alid for A and it can be shown inductiv ely to do so under the following co nditions. • v satisfies atom I ( T 1 , T 2 , T 3 ) if ( v ( T 1 ) , v ( T 2 ) , v ( T 3 )) ∈ M . • v satisfies ¬B if v do es not s atisfies B . • v satisfies B ∨ C if either v sa tisfies B or v sa tisfies C . • v satisfies B ∧ C if v satisfies b oth B and C . W e say M satisfies A , in notation M | = A , if all v alid v aluations o f A in M satisfy A . The following pr op osition is a co ns equence o f the definition of → . Prop ositi o n 3. 1. L et A , B b e two formulas, and let M b e an indep endency mo del define d on U . Then M | = A → B iff for any valid valuation v of A → B in M , v s atisfies A implies v satisfies B . F or a clause we hav e the following characterizatio n. Corollary 3.1. Le t C b e a clause of form Eq. 5, and let M b e an indep endency mo del define d on U . Then M | = C iff the fol lowing c ondition holds: • for any valid valuation v of C in M , if ( v ( T 1 i ) , v ( T 2 i ) , v ( T 3 i )) ∈ M for al l 1 ≤ i ≤ k , then ( v ( T 1 j ) , v ( T 2 j ) , v ( T 3 j )) ∈ M for some k + 1 ≤ j ≤ k + l . Given a family o f independency mode ls M and a (finite o r countable) s et of for mulas F in I L , we now formalize the no tion that B ca n b e ax io matically characterize d by F . Definition 3.8 (axiomatiza tion) . A family of indep endency mo de ls M can be completely charac- terized by a se t of formulas F in I L if the following c ondition holds for a ny indep endency mo del M : M ∈ M ⇔ ( ∀B ∈ F ) M | = B . (6) W e say M has a finite (countable, resp.) axio matization if it ca n b e completely characterized b y a finite (countable, resp.) set of formulas in I L . Since each formula in I L is semantically equiv alent to the conjunction of a set of finite clauses, we need o nly co nsider clauses. Prop ositi o n 3.2 . A family of indep endency mo dels M has a fin ite (c ountable, r esp.) axiomatiza- tion iff it c an b e c ompletely char acterize d by a finite (c ountable, re sp.) set of clause s in I L . Analogous to pro p ositional ca lculus, we hav e the completenes s theor em for I L . 4 Theorem 3.1. S upp ose M is axiomatic al ly char acterize d by F . L et Σ b e a set of formulas, A b e a formula. Then the fol lowing two c onditions ar e e quivalent. (1) Σ | = M A : for any mo del M in M , if M satisfies al l formulas in Σ , it also satisfies A ; (2) Σ ⊢ F A : A is de ducible fr om 1 Σ by using axioms in F . In par ticular, we hav e Corollary 3 .2. L et M and F b e as in the ab ove the or em. F or a s et Γ of indep endenc e st atements { I ( T i 1 , T i 2 , T i 3 ) : 1 ≤ i ≤ k } and an indep endenc e statement γ = I ( T k +1 , 1 , T k +1 , 2 , T k +1 , 3 ) , we have Γ | = M γ iff γ is de ducible fr om Γ by u sing axioms in F . 4 Sub-mo dels In this section, we consider sub-indep endency mo dels. Definition 4.1 (sub- mo del) . Let M be an indepe ndency mo del defined o n U , a nd let V be a subset of U . W e call M | V = { ( A, C, B ) ∈ M : A, B , C ⊆ V } the sub-indep endency mo del (or simply sub-mo del) of M on V . The following result asser ts that if an indep endency mo del satisfies a formula, so do es its sub-mo del. Prop ositi o n 4. 1 . L et A b e a formula, and let M b e an indep en dency mo del define d on U . F or any su bset V of U , if M satisfies A , t hen so do es M | V . Pr o of. This is b ecaus e any v aluation v in M | V is a ls o a v aluation in M . An int er esting ques tion arise s naturally . Giv en a n independency mode l M o n U , suppos e M is a CI relation (or graph-isomor ph, or causal model), and V ⊆ U . Is sub-mo del M | V also a CI relation (or g r aph-isomo rph, or causa l mo del)? This is imp ortant for a family o f indep endency mo dels M to be axiomatizable. Actually , if M is not closed under sub-mo dels , then it cannot b e axiomatically characterized by any set of formulas. Given a join t probability P ( · ), write M for the CI relatio n on U induced by P ( · ), i.e. for any pairwise disjoint subsets A, B , C of U the tuple ( A, C, B ) is an instance of M if and only if A and B are conditionally indep endent given C (see Def. 2.1 and Def. 2.2). W e cla im that, for a none mpty subset V of U , M | V , the restriction of M on V , is a CI relation o n V . This is because M | V is induced by the join t pro bability P | V ( · ), which is obtained fro m P ( · ) by computing the mar ginal probability of P on V . A similar conclus ion ho lds for gr aph-isomor phs. Lemma 4.1. L et G = ( U, E ) b e an undir e cte d gr aph on U , and let V b e a nonempty pr op er su bset of U . Define an undir e cte d gr aph G ′ = ( V , E ′ ) as fol lows: for any t wo no des α, β ∈ V , ( α, β ) ∈ E ′ iff ther e is a p ath p fr om α t o β in G such that al l other no des in p ar e c ontaine d in U − V . Then h α | C | β i G ⇔ h α | C | β i G ′ (7) for any α, β ∈ V , and any C ⊂ V . Pr o of. Supp os e h α | C | β i G ′ . W e show C separates α from β in G . F or ea ch path p = αγ 1 γ 2 · · · γ m β ( m ≥ 0) in G , we show m ≥ 1 and some γ i is co nt a ined in C . Since h α | C | β i G ′ , ( α, β ) is no t an edge in G ′ . By definition, we know (i) ( α, β ) is not a n edge in G , hence m ≥ 1 ; and (ii) some no de γ i m ust b e contained in V . Suppose γ i 1 , γ i 2 , · · · , γ i k (1 ≤ i 1 < i 2 < · · · < i k ≤ m ) are all those no des in V . Since nodes b etw een γ i u and γ i u +1 (and those betw een α and γ i 1 , and betw een γ i k and β ) must b e 1 In the sense of logic deduct ion. 5 ❘ ✠ ❘ ✠ 1 0 4 2 3 Figure 1: A DA G D o n U = { 0 , 1 , 2 , 3 , 4 } . contained in U − V . By definition of G ′ , we know ( α, γ i 1 ) , ( γ i u , γ i u +1 ) , ( γ i k , β ) are all edges in G ′ . Therefore p ′ = αγ i 1 γ i 2 · · · γ i k β is a path in G ′ . By h α | C | β i G ′ , we k now some γ i u m ust be in C . T his shows tha t C s eparates α from β for every path p in G . On the o ther ha nd, suppo se h α | C | β i G . W e show C separ ates α fro m β in G ′ . F or each path p = αγ 1 γ 2 · · · γ m β ( m ≥ 0) in G ′ , we show some γ i is contained in C . W rite γ 0 and γ m +1 for α a nd β . Note tha t if ( γ i , γ i +1 ) is not an edge in G , then b y definition there is a path p i in G fro m γ i to γ i +1 such that all other nodes in p i are cont a ined in C . Concate- nating paths p 0 , p 1 , · · · , p m we obtain a new ‘path’ in G from α to β which sa tis fie s the fo llowing condition: Each node is either in p or in U − V . In this ‘path’ identical nodes may o ccur several times. With prop er mo difications, we obtain a shortened pa th p ′ in G whic h also satisfies condition (4). By our assumption that h α | C | β i G , w e know some no de in p ′ m ust b e contained in C . But by C ⊆ V , this s hows some γ i m ust b e in C . Hence C separates α from β for every path p in G ′ . Prop ositi o n 4.2. L et M b e a gr aph-isomorph on U . F or a nonempty subset V of U , M | V is also a gr aph-isomorph. Pr o of. Supp os e M is repres e nted by an undirected g raph G = ( U, E ). W e s how M | V can be represented by the undirected graph G ′ = ( V , E ′ ) constructed in Lemma 4.1, i.e. for for any pairwise disjoint subsets A, B , C of V , we hav e I ( A, C, B ) M | V iff h A | C | B i G ′ . By definition of gr aph separatio n, for a graph G ∗ we know h A | C | B i G ∗ iff ( ∀ α ∈ A )( ∀ β ∈ B ) h α | C | β i G ∗ . By Lemma 4.1, for any α, β ∈ V and any C ⊂ V we hav e h α | C | β i G ⇔ h α | C | β i G ′ . Ther efore h A | C | B i G ′ iff h A | C | B i G for any pair wise dis jo int subsets A, B , C o f V . Since M is representable by G , it is clear that M | V is a ls o r epresentable by G ′ . But the following ex a mple shows tha t this is not true for caus a l mo dels . Example 4.1. Let M b e the ca usal model r e pr esentable by the D AG D given in Fig. 1, and let V = { 1 , 2 , 3 , 4 } . The sub-indep endency mo del M | V is not r epresentable by any D AG. T o prov e this co nclusion, we us e the notatio n D ( α, β ) to expres s the fact that in M | V there is no C ⊂ V such that I ( α, C, β ) is true. It is clea r that the fo llowing indep endency statements holds in M | V : • D (1 , 2), D (3 , 4), D (2 , 3); • I (1 , ∅ , 3 ), I (1 , 4 , 3), I (2 , ∅ , 4), I (2 , 1 , 4). 6 In a D AG D = ( U, − → E ), for a ny tw o no des α, β ∈ U , it is w ell known that ( α, β ) ∈ − → E or ( β , α ) ∈ − → E iff no C ⊆ U ca n d -se pa rates α fr o m β . Suppo se M | V is representable by some DA G D ′ defined on V . By D (1 , 2 ), D (3 , 4 ), and D (2 , 3) we know in D ′ no de 1 is c o nnected to no de 2, no de 2 is co nnected to no de 3, and no de 3 is connected to no de 4. This shows that p = 1234 is a path fr om no de 1 to no de 4. But by I (1 , ∅ , 3) M | V and p ′ = 123 is a path from no de 1 to no de 3, we k now in D ′ we should hav e 1 → 2 ← 3 . Similar ly , for no des 2 and 4, we should als o have 2 → 3 ← 4 in D ′ . This is imp ossible since 2 → 3 and 2 ← 3 cannot app ear together in the s ame DA G. This pr oves that M | V has no DA G repr e sentation, hence is not ca us al. As a cor o llary of this exa mple and P rop. 4.1 we hav e Theorem 4.1 . Causal mo dels have no c omplete axiomatic char acterizatio n . Pr o of. Le t Γ = {A 1 , A 2 , · · · } b e the set of claus e s tha t ar e satisfied by all causal mo dels. In particular, the ca us al mo del M g iven in Example 4 .1 satisfies each A i . By Pro p. 4.1 we know M | V also satisfies each A i . Since M | V is not causa l, the infinite set Γ (let alone finite subs ets of Γ) cannot provide a complete characteriz ation for causal mo dels. 5 Discussion W e hav e shown tha t it is impo ssible to give a co mplete axioma tic ch a racteriza tion for causal mo dels. This is different from the res ults obtaine d in [5] and [6]. In [5], Pearl a nd P a z pr ov ed that graph-iso morphs hav e a co mplete c har acterizatio n b y five axioms (4 Horn, 1 dis junctive). Since a sub-mo del of a graph-is omorph a lso satisfies these axio ms, it is clear that sub-mo dels o f gr a ph- isomorphs are graph-is o morphs. W e g av e a metho d for constr ucting such a gra ph repr e sentation. Studen´ y [6] show ed that there is no finite a xiomatization for CI rela tions by using Horn clauses. More p ositively , he a ls o show ed that there exist an infinite set of Hor n clauses that completely characterize CI relations. But it is still unknown whether CI relations hav e finite a xiomatization by using arbitrar y clauses (Horn or disjunctive) . The cla ss of sub-mo dels of causal models seems us e ful when (unknown) hidden v ariables are inv olved. As for axiomatization, a result by Geiger (see [3, E xercises 3.7]) suggests that it may hav e no finite characteriza tion b y Horn axioms . References [1] D. Geiger and J. Pearl. On the logic of c ausal mo dels . In R. Shach ter, T. Levitt, L. Kanal, and J. Lemmer, editors, UA I ’88: Pr o c e e dings of t he F ourth Annual Confer enc e on Unc ertainty in Artificia l Intel ligenc e , page s 3–1 4 . North-Holla nd, 19 88. [2] D. Geiger and J. Pearl. Logical and algo r ithmic pr o p erties of conditional independence and graphical mo dels. The Annals of S t atistics , 21(4):20 0 1–20 21, 19 93. [3] J. Pearl. Pr ob abili st ic re asoning in intel ligent systems: Networks of plausible infer enc e . Mor gan Kaufmann, San F rancisc o , CA, 1988 . [4] J. Pearl. Causality: Mo dels, R e asoning, and Infer enc e . Ca mbridge Universit y Pr ess, 20 00. [5] J. Pearl a nd A. Paz. Graphoids: a gra ph- based lo gic for reasoning ab o ut relev ance relatio ns. In B.D. Boulay , D. Hogg, and L. Steels, editors , A dvanc es in Artificial Intel ligenc e–II , pa ges 357–3 63, Amsterdam, 1985 . [6] M. Studen´ y. Conditional indep endence rela tio ns hav e no finite complete ch a racteriza tion. In S. Kub ´ ık and J. V ´ ı ˇ sek, editors, Information The ory, Statist ic al De cision F oundation and R an- dom Pr o c esses, T r ansactions of the 11th Pr ague Confer enc e B , pages 377–3 96. Klu wer, 1 992. [7] M. Studen´ y. Semigraphoids and structures of pr obabilistic conditional indep endence. Annals of Mathematics and Artificial Intel ligenc e , 21(1):71 –98, 199 7. [8] M. Studen´ y. Pr ob abilistic Conditio n al Indep endenc e Structu r es . Spring er-V erla g, London, 2005. 7
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