Description : Google Alpha Go is example of ____. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : A. Reactive machine
Description : Which machines will be smarter than human mind? A. Reactive machine B. Limited memory C. Theory of mind D. Self-Awareness
Last Answer : D. Self-Awareness
Description : IBM’s deep blue system is example of ___. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : Which AI should understand the human emotions, people, and beliefs and be able to interact socially like humans. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : C. Theory of mind
Description : Which can stores past experiences or some data for short period time. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : B. Limited memory
Description : Which machines only focus on current scenarios and react on it as per as possible best action. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : Which AI system not store memories or past experiences for future actions. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : _________machines will have their own consciousness and sentiments A. Reactive machine B. Theory of mind C. Self-Awareness D. Both B & C
Last Answer : C. Self-Awareness
Description : These machines can use stored data for a limited time period only. a) Reactive Machine b) Self-Awareness c) Limited machine d) Theory of mind
Last Answer : c) Limited machine
Description : Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech recognition, and image recognition are the example of ____. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : A. Narrow AI
Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : B. Unsupervised learning
Description : Which search algorithm will use limited amount of memory? a) RBFS b) SMA* c) Hill-climbing search algorithm d) Both RBFS & SMA*
Last Answer : d) Both RBFS & SMA*
Description : The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Last Answer : c) Recurrent neural network
Description : PROLOG, LISP, NLP are the language of ____ A. Artificial Intelligence B. Machine Learning C. Internet of Things D. Deep Learning
Last Answer : A. Artificial Intelligence
Description : In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas. A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : B. Deep Learning
Description : Massively parallel machine is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database. D. None of these
Last Answer : B. A computer where each processor has its own operating system, its own memory, and its own hard disk
Description : What is Artificial intelligence? a. Putting your intelligence into Computer b. Programming with your own intelligence c. Making a Machine intelligent d. Putting more memory into Computer
Last Answer : c. Making a Machine intelligent
Description : What is Artificial intelligence? A. Putting your intelligence into Computer B. Programming with your own intelligence C. Making a Machine intelligent D. Putting more memory into Computer
Last Answer : C. Making a Machine intelligent
Description : Susan is so beautiful; I bet she is smart too. This is an example of __________ a) The halo effect b) The primary effect c) A self-fulfilling prophecy d) The recency effect
Last Answer : a) The halo effect
Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Last Answer : a) News Recommender system
Description : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Description : Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : A. Supervised learning
Description : ____ is an independent and self-operated vehicle which moves on defined guide ways a.Automated Guarded Vehicles b.Automated Storage and Retrieval System c.Automated Guided Vehicles d.Automated Driving Vehicles
Last Answer : c.Automated Guided Vehicles
Description : Which search implements stack operation for searching the states? a) Depth-limited search b) Depth-first search c) Breadth-first search d) None of the mentioned
Last Answer : b) Depth-first search
Description : Which search algorithm imposes a fixed depth limit on nodes? a) Depth-limited search b) Depth-first search c) Iterative deepening search d) Bidirectional search
Last Answer : a) Depth-limited search
Description : Conventional Artificial Intelligence is different from soft computing in the sense A. Conventional Artificial Intelligence deal with prdicate logic where as soft computing deal with fuzzy logic B. Conventional Artificial ... empirical data C. Both (a) and (b) D. None of the above
Last Answer : C. Both (a) and (b
Description : Write the time & space complexity associated with depth limited search.
Last Answer : Time complexity =O (bd) , b-branching factor, d-depth of tree Space complexity=o (bl)
Description : Define depth limited search.
Last Answer : The problem of unbounded tress can be avoided by supplying depth limit 1(i.e.) nodes at depth 1 are treated as if they have no successors. This is called Depth Limited search.
Description : If we believe in the dualistic theory of the mind versus body nature of an, have to arrive at the consequence that Options: A) Education is mechanization in process and theoretical in development B) ... behaviour of man D) Education is purely a matter of mental training and development of the self.
Last Answer : D) Education is purely a matter of mental training and development of the self.
Description : State the reason why first order, logic fails to cope with that the mind like medical diagnosis
Last Answer : Three reasons a.laziness: o it is hard to lift complete set of antecedents of consequence, needed to ensure and exceptionless rule. b. Theoritical Ignorance: o medical science has no complete theory ... : even if we know all the rules, we may be uncertain about a particular item needed.
Description : ____ AI is hypothetical concept of AI. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : C. Super AI
Description : ____ AI is a type of intelligence which could perform any intellectual task with efficiency like human. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : B. General AI
Description : IBM Watson supercomputer comes under ____ AI. A. Narrow AI B. General AI C. Neural AI D. None of above
Description : Weak AI is also known as ____ A. Narrow AI B. General AI C. Neural AI D. None of above
Description : The ____ level contains constituents at the third level which are knowledge based system, heuristic search, automatic theorem proving, multi-agent system. A. Cognition level B. Gross level C. Functional level D. All of above
Last Answer : B. Gross level
Description : A ____ is a rule of thumb, strategy, trick, simplification, or any other kind of device which drastically limits search for solutions in large problem spaces. A. Heuristic B. Critical C. Value based D. Analytical
Last Answer : A. Heuristic
Description : How do you get through mind/memory blocks? Self-Regression?
Last Answer : Keep a journal. If this is a recurring feeling then giving words to it can help you work it out.
Description : ____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions. a) intrapersonal structure b) perceptual set c) self-justification d) none of the mentioned
Last Answer : d) none of the mentioned
Description : When you get fired from your job and you determine it is because your boss dislikes you, you are most likely exhibiting? a) Self-promotion b) Fundamental attribution error c) Over-attribution d) Self-serving bias
Last Answer : d) Self-serving bias
Description : The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Description : Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is A. Adaptive Learning B. Self Organization C. What-If Analysis D. Supervised Learniing
Last Answer : B. Self Organization
Description : Ability to learn how to do tasks based on the data given for training or initial experience A. Self Organization B. Adaptive Learning C. Fault tolerance D. Robustness
Last Answer : B. Adaptive Learning
Description : Computational learning theory analyzes the sample complexity and computational complexity of __________ a) Unsupervised Learning b) Inductive learning c) Forced based learning d) Weak learning
Last Answer : b) Inductive learning
Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned
Last Answer : a) Hedges
Description : Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) All of the mentioned
Last Answer : d) All of the mentioned
Description : The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1
Last Answer : a) Either 0 or 1, between 0 & 1
Description : Traditional set theory is also known as Crisp Set theory. a) True b) False
Last Answer : a) True
Description : What is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic
Last Answer : c) Extension of propositional logic
Description : Which is true for Decision theory? a) Decision Theory = Probability theory + utility theory b) Decision Theory = Inference theory + utility theory c) Decision Theory = Uncertainty + utility theory d) Decision Theory = Probability theory + preference
Last Answer : c) Decision Theory = Uncertainty + utility theory