Que- Rational agent is the one who always does the right thing. State true or false
a. TRUE
b. False
c. Nothing can be said
d. None of the mentioned
Ans- TRUE
Que- Performance Measures are fixed for all agents. State true or false
a. TRUE
b. False
c. Nothing can be said
d. None of the mentioned
Ans- TRUE
Que- 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
Ans- All of the mentioned
Que- An omniscient agent knows the actual outcome of its actions and can act accordingly; but omniscience is impossible in reality. Rational Agent always does the right thing; but Rationality is possible in reality. State true or false
a. TRUE
b. False
c. Nothing can be said
d. None of the mentioned
Ans- TRUE
Que- The Task Environment of an agent consists of
a. Sensors
b. Actuators
c. Performance Measures
d. All of the mentioned
Ans- All of the mentioned
Que- What could possibly be the environment of a Satellite Image Analysis System?
a. Computers in space and earth
b. Image categorization techniques
c. Statistical data on image pixel intensity value and histograms
d. All of the mentioned
Ans- All of the mentioned
Que- Categorize Crossword puzzle in Fully Observable / Partially Observable.
a. Fully Observable
b. partially Observable
c. All of the mentioned
d. None of the mentioned
Ans- Fully Observable
Que- The game of Poker is a single agent.
a. TRUE
b. False
c. Nothing can be said
d. None of the mentioned
Ans- False
Que- Satellite Image Analysis System is (Choose the one that is not applicable).
a. Episodic
b. Semi-Static
c. Single agent
d. Partially Observable
Ans- Partially Observable
Que- An agent is composed of ________
a. Architecture
b. Agent Function
c. Perception Sequence
d. Architecture and Program
Ans- Architecture and Program
Que- Which search agent operates by interleaving computation and action?
a. Offline search
b. Online search
c. Breadth-first search
d. Depth-first search
Ans- Online search
Que- What is called as 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
Ans- State and actions are unknown to the agent
Que- Which are necessary for an agent to solve an online search problem?
a. Actions
b. Step-cost function
c. Goal-test
d. All of the mentioned
Ans- All of the mentioned
Que- When do we call the states are safely explorable?
a. A goal state is unreachable from any state
b. A goal state is denied access
c. A goal state is reachable from every state
d. None of the mentioned
Ans- A goal state is reachable from every state
Que- 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
Ans- Reversible state spaces
Que- Which of the following algorithm is online search algorithm?
a. Breadth-first search algorithm
b. Depth-first search algorithm
c. Hill-climbing search algorithm
d. None of the mentioned
Ans- Hill-climbing search algorithm
Que- Which search algorithm will use limited amount of memory?
a. RBFS
b. SMA*
c. Hill-climbing search algorithm
d. Both RBFS & SMA*
Ans- Both RBFS & SMA*
Que- What is meant by simulated annealing in artificial intelligence?
a. Returns an optimal solution when there is a proper cooling schedule
b. Returns an optimal solution when there is no proper cooling schedule
c. It will not return an optimal solution when there is a proper cooling schedule
d. None of the mentioned
Ans- Returns an optimal solution when there is a proper cooling schedule
Que- How the new states are generated in genetic algorithm?
a. Composition
b. Mutation
c. Cross-over
d. Both Mutation & Cross-over
Ans- Both Mutation & Cross-over
Que- Which method is effective for escaping from local minima?
a. Updating heuristic estimate
b. Reducing heuristic estimate
c. Eliminating heuristic estimate
d. None of the mentioned
Ans- Updating heuristic estimate
Que- Which depends on the percepts and actions available to the agent?
a. Agent
b. Sensor
c. Design problem
d. None of the mentioned
Ans- Design problem
Que- Which were built in such a way that humans had to supply the inputs and interpret the outputs?
a. Agents
b. AI system
c. Sensor
d. Actuators
Ans- AI system
Que- Which technology uses miniaturized accelerometers and gyroscopes?
a. Sensors
b. Actuators
c. MEMS
d. None of the mentioned
Ans- MEMS
Que- What is used for tracking uncertain events?
a. Filtering algorithm
b. Sensors
c. Actuators
d. None of the mentioned
Ans- Filtering algorithm
Que- What is not represented by using propositional logic?
a. Objects
b. Relations
c. Both Objects & Relations
d. None of the mentioned
Ans- Both Objects & Relations
Que- Which functions are used as preferences over state history?
a. Award
b. Reward
c. Explicit
d. Implicit
Ans- Reward
Que- Which kind of agent architecture should an agent an use?
a. Relaxed
b. Logic
c. Relational
d. All of the mentioned
Ans- All of the mentioned
Que- 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
Ans- Hybrid
Que- Which agent enables the deliberation about the computational entities and actions?
a. Hybrid
b. Reflective
c. Relational
d. None of the mentioned
Ans- Reflective
Que- What can operate over the joint state space?
a. Decision-making algorithm
b. Learning algorithm
c. Complex algorithm
d. Both Decision-making & Learning algorithm
Ans- Both Decision-making & Learning algorithm
Que- What is the action of task environment in artificial intelligence?
a. Problem
b. Solution
c. Agent
d. Observation
Ans- Problem
Que- What is the expansion if PEAS in task environment?
a. Peer, Environment, Actuators, Sense
b. Perceiving, Environment, Actuators, Sensors
c. Performance, Environment, Actuators, Sensors
d. None of the mentioned
Ans- Performance, Environment, Actuators, Sensors
Que- What kind of observing environments are present in artificial intelligence?
a. Partial
b. Fully
c. Learning
d. Both Partial & Fully
Ans- Both Partial & Fully
Que- What kind of environment is strategic in artificial intelligence?
a. Deterministic
b. Rational
c. Partial
d. Stochastic
Ans- Deterministic
Que- What kind of environment is crossword puzzle?
a. Static
b. Dynamic
c. Semi Dynamic
d. None of the mentioned
Ans- Static