Recent questions tagged artificial-intelligence

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Consider following sentences regarding $A^*$, an informed search strategy in Artificial Intelligence (AI).$A^*$ expands all nodes with $f(n)<C^*$$A^*$ expands no nodes wi...
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In which of the following search agent operates by interleaving computation and action?Offline searchOnline searchBreadth first searchDepth first search
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Which of the following deals with the precise model where accurate solutions are achieved quickly?Soft computingMobile computingHard computingNone of the above
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Supervised learning and unsupervised learning are two board category ofData warehouseDBMSNeural NetworkNone of the above
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Which condition is used to influence a variable directly by all the othersPartially ConnectedFull ConnectedLocal ConnectedNone of the above
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Which of the following can be an application of neural network ?Sales forecastingData validationRisk managementAll of the above
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Which agent enables the deliberation about the computational entities and actions ?HybridReflectiveRelationalNone of the above
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What is Artificial Intelligence ?Putting your intelligence into computerProgramming with your own intelligenceMaking a machine intelligentPutting more memory into compute...
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Which of the following is a method of analogical problem solving that have been studied in AI ?Transformational analogyDerivational analogyBoth A and BNone of the above
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HiI need some useful resources of AI for upcoming UGC NET exam.Currently, I am reading from Rich and Knight, Is it enough?Please let me know about any good quality books ...
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The Sigmoid activation function $f(t)$ is defined as$\dfrac{1}{\text{exp} (t) + \text{exp} (-t)}$$t \text{ exp}(-t)$$\dfrac{1}{1+ \text{exp} (t)}$$\dfrac{1}{1+ \text{exp...
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Consider a Takagi-Sugeno – Kang (TSK) Model consisting of rules of the form:If $x_1$ is $A_{i1}$ and $\dots$ and $x_r$ is $A_{ir}$THEN $y=f_i(x_1, x_2, \dots , x_t)=b_{i0...
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Standard planning algorithms assume environment to be ______Both deterministic and fully observableNeither deterministic nor fully observableDeterministic but not fully o...
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If $b$ is the branching factor and $m$ is the maximum depth of the search tree, what is the space complexity of greedy search?$O (b+m)$$O(bm)$$O(b^m)$$O(m^b)$
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In Artificial Intelligence (AI), which agent deals with happy and unhappy state?Simple reflex agentModel based agentLearning agentUtility based agent
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Which one of the following describes the syntax of prolog program?Rules and facts are terminated by full stop(.)Rules and facts are terminated by semi colon(;)Variables n...
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Which formal system provides the semantic foundation for Prolog ?Predicate calculusLambda calculusHoare logicPropositional logic
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Criticism free idea generation is a factor of _____.Decision Support SystemGroup Decision Support SystemEnterprise Resource Support SystemArtificial Intelligence
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In Artificial Intelligence , a semantic networkIs a graph-based method of knowledge representation where nodes represent concepts and arcs represent relations between con...
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Match each Artificial Intelligence term in List-I that best describes a given situation in List-II :$\begin{array}{clcl} & \textbf{List-I} && \textbf{List-II} \\ \text{...
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Consider a 3-puzzle where, like in the usual 8-puzzle game, a tile can only move to an adjacent empty space. Given the initial state 12 3which of the following state cann...
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How does randomized Hill climbing choose the next move each time?It generates a random move from moveset and accepts this moveIt generates random move from whole state sp...
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Consider the two class classification task that consists of the following points:Class $C_1: [-1, -1], [-1, 1], [1, -1]$Class $C_2: [1,1]$The decision boundary between th...
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Language model used in LISP isFunctional programmingLogic programmingObject oriented programmingAll of the above
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Reasoning strategies used in expert systems includeForward chaining, backward chaining and problem reductionForward chaining, backward chaining and boundary mutationForwa...
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Forward chaining systems are ____ where as backward chaining systems are ____Data driven, Data drivenGoal driven, Data drivenData driven, Goal drivenGoal driven, Goal dri...
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Match the following learning modes $w.r.t$. characteristics of available information for learning : a. Supervisedi. Instructive information on desired responses, explicit...