Description : The action of the Simple reflex agent completely depends upon __________ a) Perception history b) Current perception c) Learning theory d) Utility functions
Last Answer : b) Current perception
Description : In which agent does the problem generator is present? a) Learning agent b) Observing agent c) Reflex agent d) None of the mentioned
Last Answer : a) Learning agent
Description : What is the rule of simple reflex agent? a) Simple-action rule b) Condition-action rule c) Simple & Condition-action rule d) None of the mentioned
Last Answer : b) Condition-action rule
Description : Which search strategy is also called as blind search? a) Uninformed search b) Informed search c) Simple reflex search d) All of the mentioned
Last Answer : a) Uninformed search
Description : A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. a) Decision tree b) Graphs c) Trees d) Neural Networks
Last Answer : a) Decision tree
Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : A. Machine Learning
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
Last Answer : a) Learning
Description : Which element in the agent are used for selecting external actions? a) Perceive b) Performance c) Learning d) Actuator
Last Answer : b) Performance
Description : External actions of the agent is selected by __________ a) Perceive b) Performance c) Learning d) Actuator
Description : The performance of an agent can be improved by __________ a) Learning b) Observing c) Perceiving d) None of the mentioned
Description : Which of the following is the component of learning system? a) Goal b) Model c) Learning rules d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned
Description : A knowledge-based agent can combine general knowledge with current percepts to infer hidden aspects of the current state prior to selecting actions. a) True b) False
Last Answer : a) True
Description : Searching using query on Internet is, use of ___________ type of agent. a) Offline agent b) Online agent c) Both Offline & Online agent d) Goal Based & Online agent
Last Answer : d) Goal Based & Online agent
Description : Web Crawler is a/an ____________ a) Intelligent goal-based agent b) Problem-solving agent
Last Answer : a) Intelligent goal-based agent
Description : What are the three levels in describing knowledge based agent?
Last Answer : Logical level Implementation level Knowledge level or epistemological level
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 : Which allows for a simple and matrix implementation of all the basic algorithm? a) HMM b) Restricted structure of HMM c) Temporary model
Last Answer : b) Restricted structure of HMM
Description : The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the ... . This process of looking for such a sequence is called Search. a) True b) False
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
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 : Unsupervised learning is A. learning without computers B. problem based learning C. learning from environment D. learning from teachers
Last Answer : C. learning from environment
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 e) Knowledge based learning
Description : Define knowledge based Inductive learning.
Last Answer : KBIL algorithm finds inductive hypotheses that explain sets of observations with the help of background knowledge.
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 : What part of yourself that you were unhappy with before are you happy with now?
Last Answer : answer:I used to be uncomfortable with how academic I am. I was never unhappy with it, but I did get self conscious when my classmates would ask me questions about the work that I thought were ... disappeared and I gradually became more coordinated so now I am about average for a guy my age.
Description : What makes you unhappy, or happy, with the gender you are?
Last Answer : My girlfriend’s period pains are enough to make me satisfied with being a man.
Description : Meet in the middle so neither are unhappy or do it all the way, one way and make one person happy?
Last Answer : Be grateful for the consideration, and eat it with a smile on your face. Just eat less, and slowly. And share the rest!
Description : Which is used for utility functions in game playing algorithm? a) Linear polynomial b) Weighted polynomial c) Polynomial d) Linear weighted polynomial
Last Answer : d) Linear weighted polynomial
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
Description : Zero sum games are the one in which there are two agents whose actions must alternate and in which the utility values at the end of the game are always the same. a) True b) False
Last Answer : b) False
Description : A computer vision technique that relies on image templates is __________ a) edge detection b) binocular vision c) model-based vision d) robot vision
Last Answer : c) model-based vision
Description : Utility computing is based on? A. Grid Computing Model B. Pay-per-Use model C. virtual isolation Model D. SOA Model
Last Answer : Pay-per-Use model
Description : Fuzzy Computing A . mimics human behaviour B. doesnt deal with 2 valued logic C. deals with information which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic D . All of the above
Last Answer : D . All of the above
Description : ______ that deals with the interaction between computers and humans using the natural language A. LISP B. ELIZA C. PROLOG D. NLP
Last Answer : D. NLP
Description : ______ is a branch of computer science which deals with helping machines finds solutions to complex problems in a more human like fashions A. Artificial Intelligence B. Internet of Things C. Embedded System D. Cyber Security
Last Answer : A. Artificial Intelligence
Description : A re-planning agent uses execution monitoring and splices in repairs as needed. a) True b) False
Description : Conditional Plans allows the agent to sense the world during execution to decide what branch of plan to follow. a) True b) False
Description : Standard planning algorithms assumes environment to be ___________ a) Deterministic b) Fully observable c) Single agent d) Stochastic
Last Answer : a) Deterministic
Description : ____________ planning allows the agent to take advice from the domain designer in the form of decomposition rules. a) GraphPlan b) Hierarchical task network (HTN) c) SatPlan d) None of the mentioned
Last Answer : b) Hierarchical task network (HTN)
Description : Mathematical game theory, a branch of economics, views any multi-agent environment as a game provided that the impact of each agent on the others is “significant,” regardless of whether the agents are cooperative or competitive. a) True b) False
Description : General games involves ____________ a) Single-agent b) Multi-agent c) Neither Single-agent nor Multi-agent d) Only Single-agent and Multi-agent
Last Answer : d) Only Single-agent and Multi-agent
Description : What is the main task of a problem-solving agent? a) Solve the given problem and reach to goal b) To find out which sequence of action will get it to the goal state c) All of the mentioned d) None of the mentioned
Last Answer : c) All of the mentioned
Description : Where does the performance measure is included? a) Rational agent b) Task environment c) Actuators d) Sensor
Last Answer : b) Task environment
Description : Which environment is called as semi dynamic? a) Environment does not change with the passage of time b) Agent performance changes c) Environment will be changed d) Environment does not change with the passage of time, but Agent performance changes
Last Answer : d) Environment does not change with the passage of time, but Agent performance changes