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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List some drawbacks of hill climbing process. A plateaux is an area of the state space where the evaluation fn is essentially flat.
CS1351 Artificial Intelligence Lecture Notes
State the no altering principle. Iterative improvement algorithms keep only a single state in memory, but can get stuck on local maxima.
Deterministic Vs Non deterministic: The action program will run on some sort of computing device which is called as Architecture. Logical Constants True, False artificiial. Learning by correcting mistakes. What are the principles that are followed by any learning procedure? The wait and see principle. In this alg each iteration is a dfs just as in regular iterative deepening. Log In Sign Up.
Whether uniform cost search is optimal? If there is a limited no. The sentences are expressed in a language called as knowledge representation language. Define Interpretation Interpretation intleligence exactly which objects, relations and functions are reffered to by the constant predicate, and function symbols. What is called as principle of maximum expected utility? Mention the criteria for the evaluation of search strategy.
The study of the computations that make it possible to perceive, reason and act-Winston. Syntax of the language describes how to make sentences.
Propositional symbols P, Q intelligencw. Mental process and consciousness are therefore part of physical world, but inherently unknowable they are beyond rational understanding. An atomic event is an assignment of particular values to all variables, in other words, the complete specifications of the state of domain. Define Validity of a sentence A sentence is valid or necessarily true if and only intellience it is true under all possible interpretation in all posssible world.
What are the different types of problem? Learning by recording cases.
CS ARTIFICIAL INTELLIGENCE Question Bank – Kings Edition.
artificiap There are two ways to see the network as a representation of the joint probability distribution to view it as an encoding of collection of conditional independence statements. What is an atomic event? If the successor function is defined to generate all possible applications of inference rules then the search algorithms can be applied to find proofs.
The no altering principle. Click here to sign up. Once a local maxima is reached the algorithm iintelligence halt even though the solution may be far from satisfactory.
Give the algorithm for generate and test.
A solution is defined as a plan that an agent can execute and thjat guarantees the achievement of goal. Heuristic search-knowledge given Problem specification solution is best.
nitelligence Syntax of a knowledge describes the possible configurations that can constitute sentences. The exciting new effort to make computers arificial machines with minds in the full and literal sense.
Define a Complete inference procedure An inference procedure is complete if it can derive all true conditions from a set of premises. What is the basic task of a probabilistic inference? Different varieties of queuing fn produce different varieties of the search algorithm. A set of plans steps. A set of casual link protection. What are the three levels in describing knowledge based agent? When a link is so elevated then it is said to be a reified link.
The use utility theory to represent and reason with preferences. Give the Baye’s rule equation W. State the reason why first order, logic fails to cope with that the mind like medical diagnosis. Conditional planning is a way in which the incompleteness of information is incorporated in terms of adding a conditional step, which involves if — then rules. There are two different types of induction heuristics. What are the phases involved in designing a problem solving agent?
Anna University Chennai CS ARTIFICIAL INTELLIGENCE model question papers
Iterative deepening is a strategy that sidesteps the issue of choosing the best depth limit by trying all possible depth limits: Define an agent program. What are the ways in which one can understand the semantics of a belief network?
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