Description : The performance of an agent can be improved by __________ a) Learning b) Observing c) Perceiving d) None of the mentioned
Last Answer : a) Learning
Description : Which is used to improve the agents performance? a) Perceiving b) Learning c) Observing d) None of the mentioned
Last Answer : b) Learning
Description : Which agent deals with happy and unhappy states? a) Simple reflex agent b) Model based agent c) Learning agent d) Utility based agent
Last Answer : d) Utility based agent
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 : What kind of observing environments are present in artificial intelligence? a) Partial b) Fully c) Learning d) Both Partial & Fully
Last Answer : d) Both Partial & Fully
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 is used to select the particular environment to run the agent? a) Environment creator b) Environment Generator c) Both Environment creator & Generator d) None of the mentioned
Last Answer : b) Environment Generator
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 : 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 : Which depends on the percepts and actions available to the agent? a) Agent b) Sensor c) Design problem d) None of the mentioned
Last Answer : c) Design problem
Description : What is called an exploration problem? a) State and actions are unknown to the agent b) State and actions are known to the agent c) Only actions are known to agent d) None of the mentioned
Last Answer : a) State and actions are unknown to the agent
Description : What is used in determining the nature of the learning problem? a) Environment b) Feedback c) Problem d) All of the mentioned
Last Answer : b) Feedback
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
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 : ____________ 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 : Which agent enables the deliberation about the computational entities and actions? a) Hybrid b) Reflective c) Relational d) None of the mentioned
Last Answer : b) Reflective
Description : Specify the agent architecture name that is used to capture all kinds of actions. a) Complex b) Relational c) Hybrid d) None of the mentioned
Last Answer : c) Hybrid
Description : Which kind of agent architecture should an agent an use? a) Relaxed b) Logic c) Relational d) All of the mentioned
Last Answer : d) All of the mentioned
Description : In which state spaces does the online-dfs-agent will work? a) Irreversible state spaces b) Reversible state spaces c) Searchable state spaces d) All of the mentioned
Last Answer : b) Reversible state spaces
Description : The Task Environment of an agent consists of ____________ a) Sensors b) Actuators c) Performance Measures d) All of the mentioned
Description : What is rational at any given time depends on? a) The performance measure that defines the criterion of success b) The agent’s prior knowledge of the environment c) The actions that the agent can perform d) All of the mentioned
Description : What among the following is/are the example of the intelligent agent/agents? a) Human b) Robot c) Autonomous Spacecraft d) All 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
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 : Which is used to choose among multiple consistent hypotheses? a) Razor b) Ockham razor c) Learning element d) None of the mentioned
Last Answer : b) Ockham razor
Description : Which modifies the performance element so that it makes better decision? a) Performance element b) Changing element c) Learning element d) None of the mentioned
Last Answer : c) Learning element
Description : Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned
Last Answer : c) Metalevel state space
Description : Which is used to provide the feedback to the learning element? a) Critic b) Actuators c) Sensor d) None of the mentioned
Last Answer : a) Critic
Description : Which of the following is not an application of learning? a) Data mining b) WWW c) Speech recognition d) None of the mentioned
Last Answer : d) None of the mentioned
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 : 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 : Web Crawler is a/an ____________ a) Intelligent goal-based agent b) Problem-solving agent
Last Answer : a) Intelligent goal-based agent
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
Last Answer : a) True
Description : What is the action of task environment in artificial intelligence? a) Problem b) Solution c) Agent d) Observation
Last Answer : a) Problem
Description : Define problem solving agent.
Last Answer : Problem solving agent is one kind of goal based agent, where the agent Should select one action from sequence of actions which lead to desirable states.
Description : Which one is the highest order of learning? (A) Chain learning (B) Problem-solving learning (C) Stimulus-response learning (D) Conditioned-reflex learning
Last Answer : (D) Conditioned-reflex 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 : Transparency A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : C. Worth of the output of a machine learning program that makes it understandable for humans
Description : Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : B. The information stored in a database that can be, retrieved with a single query
Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : A . The large set of candidate solutions possible for a problem
Description : The component of an ICAI (Intelligent Computer Assisted Instruction) presenting information to the student is the? a) Student model b) Problem solving expertise c) Tutoring module d) All of the mentioned
Last Answer : c) Tutoring module
Description : What does the bayesian network provides? a) Complete description of the domain b) Partial description of the domain c) Complete description of the problem d) None of the mentioned
Last Answer : a) Complete description of the domain
Description : __________ algorithm translates a planning problem in to prepositional axioms. a) GraphPlan b) SatPlan c) Greedy d) None of the mentioned
Last Answer : b) SatPlan
Description : The famous spare tire problem or Scheduling classes for bunch of students or Air cargo transport are the best example of ____________ a) Planning problem b) Partial Order planning problem c) Total order planning d) None of the mentioned
Last Answer : a) Planning problem