Quiz Space

AI: Search Methods for Problem Solving · End Term · 10 May 2026 · January 2026 term · Set 2

Question 39: RULE BASED EXPERT SYSTEMS A part of the Rete Net that cl…

Question 39

+1 markWritten answer

RULE BASED EXPERT SYSTEMS A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the figure. The labels A1, A2, ..., A10, A16, ..., B1, B2, B3, R1, …, R4 uniquely identify the nodes in the network. When required, use the above label ordering to break ties and to enter short answers. Note: "attribute <> x" is true when that attribute exists and its value is not equal to x.

Run the Rete algorithm for the Working Memory shown below, the WMEs are in timestamp order. Assume that WMEs reside at appropriate Alpha nodes, and the Beta nodes point to WMEs residing in Alpha nodes.

For each WME identify its location (node label) in the Rete Net, and prepare the conflict set for the first cycle, then answer the sub-questions.

RULE BASED EXPERT SYSTEMS  A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the fig
RULE BASED EXPERT SYSTEMS  A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the fig
Show answer

A written answer, not marked automatically.

Question 39 of 42 in the IIT Madras BS AI: Search Methods for Problem Solving (AI Search Methods) End Term paper sat on 10 May 2026, in the January 2026 term (Ai: Search Methods For Problem Solving 06 May 26). It carries 1 mark.

More questions from this paper

  1. Q1Figure question
  2. Q2SEARCH Consider a water-jug puzzle with three jugs a, b and c of capacities 5L, 3L and 2L, respectively. A state, encod…
  3. Q3SEARCH Consider a water-jug puzzle with three jugs a, b and c of capacities 5L, 3L and 2L, respectively. A state, encod…
  4. Q4Under what cases does Depth First Iterative Deepening (DFID) guarantee to find the shortest path if one exists?
  5. Q5Given a finite state space with unit edge costs, and a heuristic function whose properties are not known, which of the …
  6. Q6If w is set to a large value (tending to infinity) then wA algorithm will .
  7. Q7GAMES: ALPHA-BETA Consider a game tree with the root node as MAX, where an arbitrary path from the root reaches the sub…
  8. Q8GAMES: ALPHA-BETA Consider a game tree with the root node as MAX, where an arbitrary path from the root reaches the sub…
  9. Q9GAMES: ALPHA-BETA Consider a game tree with the root node as MAX, where an arbitrary path from the root reaches the sub…
  10. Q10GAMES: ALPHA-BETA Consider a game tree with the root node as MAX, where an arbitrary path from the root reaches the sub…
  11. Q11GAMES: SSS STAR The figure shows a game tree with evaluation function values at the horizon nodes. The horizon nodes ar…
  12. Q12GAMES: SSS STAR The figure shows a game tree with evaluation function values at the horizon nodes. The horizon nodes ar…
  13. Q13PROBLEM DECOMPOSITION The figure shows an AND-OR decomposition of problem S into smaller problems. The nodes are unique…
  14. Q14PROBLEM DECOMPOSITION The figure shows an AND-OR decomposition of problem S into smaller problems. The nodes are unique…
  15. Q15PROBLEM DECOMPOSITION The figure shows an AND-OR decomposition of problem S into smaller problems. The nodes are unique…
  16. Q16RULE BASED EXPERT SYSTEMS A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the fig…
  17. Q17RULE BASED EXPERT SYSTEMS A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the fig…
  18. Q18RULE BASED EXPERT SYSTEMS A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the fig…
  19. Q19Consider actions a and b and the two orderings (a then b) and (b then a). Which of the following conditions (each taken…
  20. Q20In planning graphs constructed by GraphPlan, actions a and b in layer n are mutex .
  21. Q21In planning graphs constructed by GraphPlan, which of the following are true?
  22. Q22Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  23. Q23Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  24. Q24Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  25. Q25Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  26. Q26Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  27. Q27Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  28. Q28Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  29. Q29CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …
  30. Q30CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …
  31. Q31CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …
  32. Q32CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …
  33. Q33CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …
  34. Q34SEARCH Consider a water-jug puzzle with three jugs a, b and c of capacities 5L, 3L and 2L, respectively. A state, encod…
  35. Q35SEARCH ALGORITHMS Answer the given subquestions.
  36. Q36GAMES: ALPHA-BETA Consider a game tree with the root node as MAX, where an arbitrary path from the root reaches the sub…
  37. Q37GAMES: SSS STAR The figure shows a game tree with evaluation function values at the horizon nodes. The horizon nodes ar…
  38. Q38PROBLEM DECOMPOSITION The figure shows an AND-OR decomposition of problem S into smaller problems. The nodes are unique…
  39. Q40AUTOMATED PLANNING 1 Answer the given subquestions.
  40. Q41Allowed : No Group Comprehension Questions : No Question Pattern Type : NonMatrix AUTOMATED PLANNING 2 The domain descr…
  41. Q42CONSTRAINT SATISFACTION Consider a CSP over 3 variables A, B, C where the domains and constraints are: where, mod(n,d) …