CS2351 ARTIFICIAL INTELLIGENCE 2 MARKS PDF

SUBJECT CODE / Name: CS – ARTIFICIAL INTELLIGENCE. UNIT – II. PART -A (2 Marks). LOGICAL REASONING. 1. What factors determine the selection. Artificial Intelligence CS – Two mark Question Bank 2. Define Artificial Intelligence in terms of human performance. The art of creating machines that. ARTIFICIAL INTELLIGENCE 2 MARKS AND 16 MARKS ANNA UNIVERSITY CSE 7TH SEMESTER ARTIFICIAL INTELLIGENCE 2 MARKS.

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Explain depth limited search. The action that the agent can perform.

Define a well-formed formula wff. There are two different types of induction heuristics. Define state-space search technique. Define OR-Introduction rule in propositional logic OR-Introduction rule states that from, a sentence, we can infer its disjunction with anything.

The use utility theory to represent and reason with preferences.

What are Expert Systems? Explain with examples a V erb sub categorization 8 b S emantic interpretation 8 6 D i scuss ambiguity and disambiguation.

Agent program is a function that 22 the agents mapping from percept to actions. The performance measure that defines degree of success. Describe the four categories under which AI is classified with examples. The term utility is used in the sense of “the quality of being useful.

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Anna University Department of Civil Engineering B. An omniscient agent knows the actual outcome of its action and can act accordingly; but omniscience is impossible in reality. Define Artificial in terms of rational thinking. What are the components that are needed for representing an action? Learning by recording cases. List a few of the task domains of AI. If the successor function is defined to generate all possible applications of inference rules then the search algorithms can be applied to find proofs.

Unknown December 4, at 4: Draw a learning curve for the decision tree algorithm State the no altering principle. Syntax of the language describes how to make sentences.

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What are its use? A multiple connected graph is one in which two nodes are connected by more than one path. Learning by analyzing differences. What are the features of an ideal planner? Explain in detail with an example. List the components of a script. It leads FOUR important categories. Blind search has no information about the no. Explain with an example. Define an Omniscient agent.

They can be handled with the help of two planning agents namely, Conditional planning agent. If i can derive?? The components that are needed for representing an action are: List the fields that form the basis for AI. Define a consistent plan. What is reified link?

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ARTIFICIAL INTELLIGENCE–Question Bank (All Units) ~ Vidyarthiplus (V+) Blog – A Blog for Students

Once a local artifiical is reached the algorithm will halt even though the solution may be far from satisfactory. Learning by correcting mistakes. The action program will run on some sort of computing device which is called as Architecture.

A complete plan is one in which every precondition of intelliyence step is achieved by some other step. November 15, 0. Each episode consists of agents perceiving and then acting. Define forward and backward chaining.

CS6659 AI Notes, Artificial Intelligence Lecture Notes – CSE 6th SEM Anna University

List the characteristic features of a expert system. Mention some of the knowledge representation techniques.

Define Artificial Intelligence formulated by Haugeland. What is the role of semantic analysis in NLP? A set of ordering constraints. Planning can be viewed as a type xrtificial problem solving in which the agent uses beliefs about actions and their consequences to search for a solution.