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IGNOU UNIVERSITY MCA - III (SEM 5) JUN 2009 : Artificial Intelligence and Knowledge Management

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MCA ( Revised) l-C) c\ -rl. \9 O Ierm-End E xamination !une, 2 009 MCSE-OO3 A RTIFICIAL I NTELLIGENCE A ND : KNOWLEDGE M ANAGEMENT Time : 3 h ours Note : 1. Maximum M arks : 1 "00 n Q uestion umber1 -i s c ompulsory. A ttempta ny t hree questions f rom t he r est. (a) State a nd j ustify t he v alidity o f f ollowing inferencer ules (i) (b) C hain r ule (ii) 4A S implification Transform t he F OPI.s tatementg iven b elow into e quivalent c onceptualg raph. ( V, ( Has w ings ( ") A L ayseggs x)-+l<Blrd(x)) (c) Determine w hether e ach o f t he f ollowing sentences re s atisfactory,c ontradictory o r a valid (i) (P^Q)v-(P^Q) (ii) (P-+Q) -+ - P MCSE.OO3 1. P.T.O. ( d) Transform t he f ollowing c onceptual g raph in t o F OPL s tatement[PERSON: nita] + A (AGENT)<-[DRINK] - + ( OBIECT)- + [ Food: Milkl - +<-(Instrument G lass) (e) (0 Write a r ecursive p rogram i n L ISP t o f ind factorial o f a n umber g iven b y t he u ser ? (g) ) Describe' Means-ends nalysis' a s p roblem A solving t echnique. How l anguagesf or a rtificial i ntelligence dif f e rs f rom n ormal p rogramming Ianguages? ive n ame o f t hree l anguages G frequently u sed a s p rogramming l anguage for d evelopingE xpert S ystems? (u) T ransform t he f ollowing i n t o C NF ( Any two) (t (ii) - (X -+ Y) -+ Z (iii) (b) - ( c - + D )v ( c ^ D ) P - + ( - c Q + R )) W ith t he h elp o f a s uitable e xample, d escribe the " member" f unction o f P ROLOG. H ow the same can be explored to perform searching o f a d ata i n a l ist, r ecursively. (.) C ompare a nd c ontrast a ny t hree o f t he following : (i) M onotonic reasoning MCSE-OO3 a nd N on M onotonic (it (iii) (u) DFS and BFS (i") 3. P redicatea nd P repositionall ogic C onceptual g raph a nd C onceptual Dependency T ranslatet he f ollowing a xioms i n t o W FF's (i) E very p erson h as a m other (ii) T here i s a w oman a nd s he i s m other of E VE (b) Write a P ROLOG p rogram f or t he f ollowing relations. (i) g randfather ( X,Y) (ii) C ousin b rother ( X,Y) How do rules in PROLOG differ from general p roduction s ystems r ules? (c) Enumerate the various knowledge representation s chemes a longwith b rief description o f e ach s cheme. 4. (a) \Atrhats T uring T est ? I f t he m achine p asses i 10 Turing T est, d oes i t m ean t hat t he s ystem i s intelligent ? What are the associated problems w ith T uring T est ? W hat a re required improvements/advances to overcome t hese p roblems ? MCSE-OO3 P.T.O. (b) Using the search tree given below, list the elements of the Queue just before the next node i s e xpanded. U se D FS t o s earch f or Goal n ode@Abo w rite t he a lgorithm f or 10 DFS. 5. (u) Compare and contrast the following : (i) I nf o rmed s earch a nd u niformed search (iit A bductive i nference a nd A nalogical inference (ir) (b) Frames and scripts (ii) 10 A* algorithm and AO* algorithm What i s a n E xpert s ystem ? E xplain i ts architecture. C reate a n e xpert s ystem t o infer whether a student has secured poor, good, averageor excellent marks in his/her MCA e xam. -oOo- MCSE-OO3 4 L0

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Additional Info : Mca - III (sem 5) June 2009 Question Paper - Artificial Intelligence and Knowledge Management (Revised Course)
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