Total turing test and drawback of the depth-first search


Question 1)

a) What does a computer need in order to pass the “Total Turing Test”?

b) Describe the term Cognitive Modelling Approach.

c) Define four points to support what is rational at any given time.

d) Draw the complete diagram to demonstrate the Utility-Based Agents.

Question 2) a) Name and explain the four main dimensions on which strategies can be evaluated in Search Strategies.

b) Describe in detailed about the drawback of the Depth-First Search.

c) Explain the term “Evaluation Function”.

d) The Minimax Algorithm is designed to determine the optimal strategy for MAX, and thus to decide what the best move is. Explain the five steps of this algorithm.

Question 3)

a) The object of knowledge representation is to express knowledge in computer-tractable form, such that it can be used to help agents perform well.
A knowledge representation language is defined by the Syntax and the Semantics. Differentiate between Syntax and Semantics.

b) Differentiate between Ontological Commitments and Epistemological Commitments.

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Computer Engineering: Total turing test and drawback of the depth-first search
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