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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Give the Baye’s rule equation W.
CS Artificial Intelligence Lecture Notes | JPR Notes
To use the stored inteligence to answer questions and to draw new conclusion. Log In Sign Up. What is truth Preserving An inference algorithm that derives only entailed sentences is called sound or truth preserving.
Define Artificial Intelligence in terms of rational acting. The formal definition of entailment is this: The process of treating something abstract and difficult to talk about as though it were concrete and easy to talk about is called as reification. Different varieties of queuing fn produce different varieties of the search algorithm. Problem formulation, Search solution, Execution.
Define a complete plan. What is called as bidirectional search? Syntax of a knowledge nitelligence the possible configurations that can constitute sentences. Propositional symbols P, Q iii. Define Semantics The semantics of the language defines the truth of each sentence with respect to each possible world.
Define Artificial Intelligence formulated by Haugeland. Give the drawback of DFS. The action that the agent can perform. List some drawbacks of hill climbing process.
Define an Omniscient agent. Similarity net is a representation in which nodes artificiao models, links connect similar models and links are tied to different descriptions.
The action program will run on some sort of computing device which is called as Architecture.
Define iterative deepening search. If there is a limited no.
An agent is anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors. What are the three levels in describing knowledge based agent? Help Center Find new research papers in: The three phases are: The sentences are expressed in a language called as knowledge representation language.
What is called as multiple connected graph? Learning by recording cases. Heuristic search-knowledge given Problem specification solution is best. Skip to main content.
Arhificial does uncertainty arise?
The drawback of DFS is that it can get stuck going down the wrong path. Iterative improvement algorithms keep only a single state in memory, but can get stuck on local maxima. What are the different types of induction heuristics?
CS1351 Artificial Intelligence Lecture Notes
The depth first search is modified to use an f-cost limit rather than a depth limit. Here right thing is one that will cause agent to be more successful. The learning process can be classified as: Learning by analyzing differences. Learning by managing models. Give two iterative improvement algorithms. What are the features of an ideal planner? Process which is based on coupling new information to previously acquired knowledge a.
So dfs will never be able to recover from an unlucky choice at one of the nodes near the top of the tree.
2008 Anna University Chennai B.E Computer Science CS 1351 ARTIFICIAL INTELLIGENCE Question paper
Define Artificial in terms of rational thinking. Click here to sign up.
There are 4 criteria: A consistent plan artifical one in which there are no contradictions in the ordering or binding constraints. Each individual representation of facts is called a sentence.
The use utility theory to represent and reason with preferences. 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 are the components that are needed for representing a plan?