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Intelligent System

Total questions: 25

Worksheet time: 13mins

Name
Class
Date
1.

Bayesian Rule where the conditional probability that event A occurs given that event b has occurred.

a)

p(A|B)

b)

p(B|A)

c)

p(A)

d)

p(B)

2.

Which is not part of Bayesian reasoning practical challenges.

a)

Generalization Issues

b)

Specification Issues

c)

Sensitivity to Priors

d)

Steep Learning Curve

3.

According to Alan Turing, the form or appearance of a system is _____ to its intelligence.

a)

Inversely Related

b)

Directly Proportional

c)

Irrelevant

d)

Cohesive

4.

It is an umbrella term that combines genetic algorithms, evolution strategies and genetic programming.

a)

Generic Disposition

b)

Generic Computation

c)

Evolutionary Algorithms

d)

Evolutionary Computation

5.

Date which marked the begining of a revolution in biology due to Charles Darwin.

a)

July 1, 1858

b)

June 1, 1758

c)

July 10, 1857

d)

July 11, 1758

6.

Based on this theory, the power to mutate is guaranteed in any living organism that reproduces itself in a continuously changing environment.

a)

Neo - Darwinism

b)

Modern Synthetic Theory

c)

Darwinism

d)

Pre-Darwinism

7.

A class of stochastic search algorithms based on biological evolution.

a)

Genetic Algorithms

b)

Ant Colony Optimization

c)

Simulated Annealing

d)

Iterated Local Search

8.

In Rule based ES, AND is considered a _______.

a)

Disjunction

b)

Conjunction

c)

Antecedent

d)

Consequent

9.

This includes a set of facts used to match against the condition parts of rules stored in the knowledge base.

a)

Knowledge Base

b)

Inference Engine

c)

User Interface

d)

Database

10.

This is produced by matching the rule IF parts to the different facts.

a)

Inference Chains

b)

Forward Chaining

c)

Backward Chaining

d)

Expert Systems

11.

It is the knowledge about the use and control of domain knowledge in an expert system.

a)

Metadata

b)

Metaknowledge

c)

Information Base

d)

Database

12.

It is logic that is based on the idea that all things admit of degrees.

a)

Rule-based

b)

Direct

c)

Fuzzy

d)

Frame-based

13.

A set of mathematical principles for knowledge representation based on degrees of membership.

a)

Probability

b)

Fuzzy Logic

c)

Fuzzification

d)

Fuzzy sets

14.

It is the commonly used deffuzification method.

a)

Normalization

b)

Fuzzification

c)

Centroid

d)

Linguistic

15.

Year Jum Bezdek introduced FCM in generating fuzzy clusters.

a)

1981

b)

1971

c)

1982

d)

1972

16.

Learning based on this is a local phenomenon occurring without feedback from the environment.

a)

Hebbs Law

b)

Forbs Law

c)

Hoff Learning

d)

Kohonen Maps

17.

In this network, a neuron learns by shifting its weights from inactive connections to active ones.

a)

Synaps Network

b)

Competitive Network

c)

Neural Network

d)

Kohonen Network

18.

A topographic organization in which nearby locations in the map represent inputs with similar properties.

a)

SAM

b)

ART

c)

SOM

d)

DOM

19.

A model of reasoning based on the human brain

a)

Neural Network

b)

Machine Learning

c)

Neurons

d)

Synapses

20.

A cell body

a)

Axon

b)

Dendrites

c)

Soma

d)

Neurons

21.

It provides a means of organizing knowledge in slots to describe various attributes and characteristics of the object.

a)

Frame

b)

Container

c)

Objects

d)

Rules

22.

Tells the inference engine how to process the attribute.

a)

Frame

b)

Facets

c)

Classes

d)

Slots

23.

A part-whole relationship in which several subclasses representing components are associated with a superclass representing a whole.

a)

Association

b)

Inheritance

c)

Generalization

d)

Aggregation

24.

Describes semantic relationship between different classes which are unrelated.

a)

Association

b)

Inheritance

c)

Generalization

d)

Aggregation

25.

It’s a goal-driven approach and used the depth-first strategy for proof.

a)

Forward Chaining

b)

Backward Chaining

c)

Inference Chaining

d)

Metadata