Fem A local maxima as opposed to a goal maximum is a peak that is lower that the highest peak in the state space. What is reified link? What is called as multiple connected graph? A problem is really a collection of information that the agent will use to decide what to do. Define CSP A constraint satisfaction problem is a special kind of problem satisfies Some additional structural properties beyond the basic requirements for problem in general. If the next state of the environment is completely determined by the current state and the actions selected by the agent, intelligenxe the environment is deterministic.

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Tojataur Zrtificial different types of planning cs as follows: The planner should be able to use Divide and Conquer method for solving very big problems.

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. A rational agent is one that does the right thing. What are the ways in which one can understand the semantics of a belief network? Process which is based on coupling new information to previously acquired knowledge a. What are the different types of problem? What are the different adtificial of planning? State the reason why first order, logic fails to cope with that the mind like medical diagnosis.

Whether uniform cost search is optimal? Log In Sign Up. What is the basic task of a probabilistic inference? Define an Ideal rational agent. Proof Theory — a set of rules for deducing the entailment a set sentences. List the various informed search strategy.

Learning by recording cases. A problem is really a collection of information that the agent will use to decide what to do. Define Artificial Intelligence in terms of rational acting. The learning process can be classified as: Learning by managing models. Logical Constants True, False ii.

What are the principles that are followed by any learning procedure? The depth first search is modified to use an f-cost limit rather than a depth limit. Iterative deepening is a strategy that sidesteps the issue of choosing the best depth limit by trying all possible depth limits: What is Induction heuristics?

What is entailment The relation between sentence is called entailment. Different varieties of queuing fn produce different varieties of the search algorithm. What are the capabilities that a computer should possess for conducting a Turing test? The action program will run on some sort of computing device which is called as Architecture. The use utility theory to represent and reason with preferences. Learning by correcting mistakes. A set of variable binding constraints. The Turing test proposed by Alan Turing was designed to provide a satisfactory operational definition of intelligence.

Define Logic Logic is one which consist of intelligencee. What are the components that are needed for representing an action? Here at most one undirected path between any two nodes is present. Define Artificial Intelligence formulated by Haugeland. Give two iterative improvement algorithms. Induction heuristics is a method, which enable procedures to learn descriptions from positive and negative examples. Define a consistent plan.

If the qrtificial function is defined to generate all possible applications of inference rules then the search algorithms can be applied to find proofs. What does Turing test mean? Process which is based on digging useful regularity out of data, usually called as Data base mining: It is important to remember that p a can only be used when there is no other information.

Define Satistiability of a sentence A sentence is satisfiable if and only if there is some interpretation in some world for which it is true. Related Posts



Dular CS Artificial Intelligence Lecture Notes Once a local maxima is reached the algorithm will halt even though the solution may be far from satisfactory. A problem is really a collection of information that the agent will use to artiifcial what to do. An alternative to dualism is materialism, which holds that the entire world operate according to physical law. What is the need for probability theory in uncertainty? A set of plans steps.


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Goltidal Different varieties of queuing fn produce different varieties of the search algorithm. Define Semantics The semantics of the language defines the truth of each itnelligence with respect to each possible world. Otherwise it returns the best solution that can be reached with the available memory. Why does uncertainty arise?


Define AI The capability of a device to perform functions that are normally associated with human intelligence, such as reasoning and optimization through experience. Bottom Up 2. Top-Down 3. Define Artificial Intelligence formulated by Haugeland. The exciting new effort to make computers think machines with minds in the full and literal sense. Define Artificial Intelligence in terms of human performance. The art of creating machines that perform functions that require intelligence when performed by people.

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