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AI: Search Methods for Problem Solving · End Term · 28 Apr 2024 · January 2024 term

Question 20: RULE BASED EXPERT SYSTEMS\ A Rete Net for classifying le…

Question 20

+1 markOne correct option

RULE BASED EXPERT SYSTEMS
A Rete Net for classifying lenses based on surface properties (convex, concave, planar, radius of curvature, and number of sides) is shown in the figure. Each lens is uniquely identified by “itemNo” attribute, the remaining classes and attributes are self explanatory.
A part of the Rete Net that classifies mushrooms (as edible or poisonous) is shown in the figure. The labels A1, A2, ..., A15, ..., B1, B2, …, B5, R1, …, R6 uniquely identify the nodes in the network. When required, use the above label ordering to break ties and to enter short answers. Note: beta nodes B4 and B5 compare the radius of curvature of two surfaces.

If the Inference Engine uses Recency as the conflict resolution strategy then which of the following rule-data tuples will qualify?.

  1. A

    R2,103,107

  2. B

    R3,101,104

  3. C

    R4,102,103

  4. D

    R6,107

Show answer

Correct answer

  • D

    R6,107

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Question 20 of 26 in the IIT Madras BS AI: Search Methods for Problem Solving (AI Search Methods) End Term paper sat on 28 Apr 2024, in the January 2024 term (IIT M DEGREE FN EXAM QDB1 28 Apr 2024). It carries 1 mark.

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