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 : 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
Last Answer : a) True
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
Last Answer : d) All of the mentioned
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 : The Task Environment of an agent consists of ____________ a) Sensors b) Actuators c) Performance Measures d) All of the mentioned
Description : List the performance measures of search strategies.
Last Answer : i. Completeness ii. Optimality iii. Time complexity iv. Space complexity
Description : Define performance measures.
Last Answer : Performance measure embodies the criterion for success of an agent’s behavior.
Description : Which provides agents with information about the world they inhabit? a) Sense b) Perception c) Reading d) Hearing
Last Answer : b) Perception
Description : Which cannot be represented by a set of attributes? a) Program b) Three-dimensional configuration of a protein molecule c) Agents
Last Answer : b) Three-dimensional configuration of a protein molecule
Description : Uncertainty arises in the wumpus world because the agent’s sensors give only ___________ a) Full & Global information b) Partial & Global Information c) Partial & local Information d) Full & local information
Last Answer : c) Partial & local Information
Description : 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
Last Answer : b) AI system
Description : Agents behavior can be best described by ____________ a) Perception sequence b) Agent function c) Sensors and Actuators d) Environment in which agent is performing
Last Answer : b) Agent function
Description : Which action sequences are used to achieve the agent’s goal? a) Search b) Plan c) Retrieve d) Both Search & Plan
Last Answer : d) Both Search & Plan
Description : What are the composition for agents in artificial intelligence? a) Program b) Architecture c) Both Program & Architecture d) None of the mentioned
Last Answer : c) Both Program & Architecture
Description : What is meant by agent’s percept sequence? a) Used to perceive the environment b) Complete history of actuator c) Complete history of perceived things d) None of the mentioned
Last Answer : c) Complete history of perceived things
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 : Speech Segmentation is a subtask of Speech Recognition. a) True b) False
Description : IR (information Retrieval) and IE (Information Extraction) are the two same thing. a) True b) False
Description : OCR (Optical Character Recognition) uses NLP. a) True b) False
Description : Natural Language generation is the main task of Natural language processing. a) True b) False
Description : Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun. a) False b) True
Last Answer : a) False
Description : The more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions. a) True b) False
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Description : NLP is concerned with the interactions between computers and human (natural) languages. a) True b) False
Description : Decision Trees can be used for Classification Tasks. a) True b) False
Description : Decision Tree is a display of an algorithm. a) True b) False
Description : A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
Description : Like relational databases there does exists fuzzy relational databases. a) True b) False
Description : Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
Description : Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
Description : Traditional set theory is also known as Crisp Set theory. a) True b) False
Description : The primitives in probabilistic reasoning are random variables. a) True b) False
Description : Using logic to represent and reason we can represent knowledge about the world with facts and rules. a) True b) False
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 : Planning problem can be described as a propositional logic. a) True b) False
Description : Planning graphs works only for prepositional planning problems. a) True b) False
Description : What is meant by persistence actions? a) Allow a literal to remain false b) Allow a literal to remain true c) Allow a literal to remain false & true d) None of the mentioned
Last Answer : b) Allow a literal to remain true
Description : One the main drawback of this type of planning system is that it requires a lot of computational powers at each node. a) True b) False
Description : Sussman Anomaly illustrates a weakness of interleaved planning algorithm. a) True b) False
Description : Sussman Anomaly can be easily and efficiently solved by partial order planning. a) True b) False
Description : Partial-order planning is the opposite of total-order planning. a) True b) False
Description : Partial-order planning exhibits the Principle of Least Commitment, which contributes to the efficiency of this planning system as a whole. a) True b) False
Description : There exists two way to infer using semantic networks in which knowledge is represented as Frames. 1) Intersection Search 2) Inheritance Search a) True b) False
Last Answer : 1) Intersection Search
Description : The basic inference mechanism in semantic network in which knowledge is represented as Frames is to follow the links between the nodes. a) True b) False
Description : Like semantic networks, frames can be queried using spreading activation. a) True b) False
Description : Frames in artificial intelligence is derived from semantic nets. a) True b) False
Description : Most semantic networks are not cognitive based. a) True b) False
Description : Semantic Network is also known as Frame networks. a) True b) False
Description : A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another. a) True b) False