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Example assertions: endence indep conditional des enco rk ow net of ology op T Weather Cavity Catch Toothache riables va other the of endent indep is eather W ity av C given endent indep conditionally re a atch C and oothache T 4 14.1–3 Chapter
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td. con Example .001 P(B) .002 P(E) Alarm Earthquake MaryCalls JohnCalls Burglary B T T F F E T F T F .95 .29 .001 .94 P(A|B,E) A T F .90 .05 A P(J|A) T F .70 .01 P(M|A) 6 14.1–3 Chapter
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Compactness has rents pa olean Bo k with i X olean Bo r fo CPT A E B J A M 2k values rent pa of combinations the r fo ws ro ue tr =i Xr fo p er numb one requires wro Each ) p −1 just is se al f =i Xr fo er numb (the rents, pa k than re mo no has riable va each If 2· n( O requires rk ow net complete the k ers numb ) (2 O vs. , n with rly linea ws gro I.e., n distribution joint full the r fo ) 2 (vs. ers numb 10 =2 +2 +4 +1 +1 net, ry burgla r oF −5 ) 31 =1 7 14.1–3 Chapter
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tics seman Global distribution joint full the defines semantics Global E B J A M distributions: conditional cal lo the of duct ro p the as Π =)n x, . . . , 1 x( P n P1 =i )) i X( ents par |i x( )e ¬ ∧b ¬ ∧a ∧ m∧j( P e.g., = 8 14.1–3 Chapter
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tics seman Global distribution joint full the defines semantics “Global” E B J A M distributions: conditional cal lo the of duct ro p the as Π =)n x, . . . , 1 x( P n P1 =i )) i X( ents par |i x( )e ¬ ∧b ¬ ∧a ∧ m∧j( P e.g., )e ¬( P)b ¬( P)e ¬ b, |¬a( P) a| m( P) a| j( P = 998 . 0 × 999 . 0 × 001 . 0 ×7. 0 ×9. 0 = 00063 . 0 ≈ 9 14.1–3 Chapter
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tics seman cal Lo endent indep conditionally is de no each semantics: cal Lo rents pa its given nondescendants its of . . . . . . 1 U X mU nY nj Z 1Y 1j Z semantics global ⇔ semantics cal Lo rem: Theo 10 14.1–3 Chapter