CS1351 ARTIFICIAL INTELLIGENCE PDF

CS1351 ARTIFICIAL INTELLIGENCE PDF

Anna university, Chennai B.E / Engineering Degree Examination CS ARTIFICIAL INTELLIGENCE SIXTH SEMESTER Regulation. SUBJECT CODE: CS SUBJECT NAME: ARTIFICIAL INTELLIGENCE DEPARTMENT: CSE YEAR: 3. SEMESTER: 6. SYLLABUS. CS Artificial Intelligence Lecture Notes.» CS Artificial Intelligence Lecture Notes. Lecture Notes Provided by. Einstein college of Engineering.

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2008 Anna University Chennai B.E Computer Science CS 1351 ARTIFICIAL INTELLIGENCE Question paper

artificia, Iterative deepening is a intellligence that sidesteps the issue of choosing the best depth limit by trying all possible depth limits: There are two different types of induction heuristics. With this semantics, when a particular configuration exists with in an agent, the agent believes the corresponding sentence. Enter the email address you signed up with and we’ll email you a reset link. What is entailment The relation between sentence is called entailment. There are 4 criteria: Heuristic search-knowledge given Problem specification solution is best.

What is called materialism? What is called as principle of maximum expected utility?

Learning by analyzing differences. The art of creating machines that perform functions that require intelligence when performed by people.

CSARTIFICIAL INTELLIGENCE | kaushal savla –

The wait and see principle. The search will conduct a random walk. Learning by correcting mistakes. Once a local maxima is reached the algorithm will halt even though the solution may be far from satisfactory.

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CS Artificial Intelligence May/June Question Paper (Scanned Version)

Remember me on this computer. The no altering principle. Define AND —Elimination rule in propositional logic AND elimination rule states that from a given conjunction it is possible to inference any of the conjuncts. In a CSP; the states are defined by the values of a set of artifficial and the goal test specifies a set of constraint that the value must obey.

CS1351 Artificial Intelligence Lecture Notes

Define a knowledge Base: What is meant by belief network? The action program will run on some sort of computing device which is called as Architecture. The different types of planning are as follows: Give the drawback of DFS.

Define an agent program. Each individual representation of facts is called a sentence.

Define a complete plan. A consistent plan is one in which there are no contradictions in the ordering or binding constraints. A formal system for describing states of affairs, consisting of a Syntax b Semantics.

Skip to main content. A solution is defined as a plan that an agent can intellitence and thjat guarantees the achievement of goal. Planning can be viewed as a type of problem solving in which the agent uses beliefs about actions and their consequences to search for a solution. We will call this complete perceptual history the percept arificial.

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What is called as multiple connected graph? What is truth Preserving An inference algorithm that derives only entailed sentences is called sound or truth preserving.

What are the principles that are followed by any learning procedure? Learning by building identification trees. Define joint probability distribution This completely specifies an agent’s probability assignments to all propositions in the domain.

Here at most one undirected path between any two nodes is present.

Whether uniform cost search is optimal? What is called as bidirectional search? Thus each iteration expands all nodes inside the contour for the current f-cost. The action that the agent can perform. If the next state of the environment is completely determined by the current state and the actions selected by the agent, then the environment is deterministic. The learning process can be classified as: The term utility is used in the sense of “the quality of being useful.

Explain depth limited search. What are the different types of induction heuristics? Define a consistent plan.

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