A+ Answers of the following Questions

Question 1 
The personality of a knowledge engineer can have a direct influence on experts who are contributing to a knowledge base.
True
False
Question 2 
The rule, "If the interest rates increase, then bond prices decrease" represents:
deep knowledge.
shallow knowledge.
metarules.
semantic knowledge.
None of these.

Question 3 
Difficulties in knowledge acquisition include:
mismatch between knowledge representation and knowledge expression.
knowledge mismatch between the user and the expert.
human's inability to express knowledge possessed.
mismatch between knowledge representation and knowledge expression and human's inability to express knowledge possessed.
All of these.
Question 4 
Validation of the knowledge base is the exclusive responsibility of the knowledge engineer.
True
False
Question 5 
All knowledge can be represented by rules.
True
False
Question 6 
The rule induction method requires manual efforts in the preparation of:
the rules.
the set of attributes.
the knowledge base.
the inference engine.
All of these.

Question 7 
The Web has yet to make an impact on expert systems.
True
False
Question 8 
Knowledge engineering typically involves acquiring knowledge from experts.
True
False
Question 9 
There is a relationship between Mid-East oil production and the price of gasoline is an example of declarative knowledge.
True
False
Question 10 
If final average > 93 then your grade is an A; is an example of a declarative rule.
True
False
Question 11 
Knowledge engineering is the process of fixing knowledge management systems.
True
False
Question 12 
Forward chaining is:
goal driven.
data driven.
procedure driven.
bi-directional.
All of these.
Question 13 
Semantic networks are useful because they focus on the differences between concepts.
True
False
Question 14 
Deduction is the process of reasoning from the specific to the general.
True
False
Question 15 
Inheritance means:
the ability of an object to inherit characteristics of an object higher in its hierarchy.
the relationships of the links to the nodes.
the relationship of the immediate sub-goals to goals.
the ability to link to inherited characteristics from a related node.
the ability of a node to communicate characteristics from a related node.
Question 16 
Which of the following is a manual method for soliciting knowledge from a knowledge expert?
Case analysis
Brainstorming
Multidimensional scaling
Johnson's hierarchical clustering
All of these.
Question 17 
A chromosome in a genetic algorithm refers to:
crossover.
summation.
mutation.
a candidate solution.
a generation.

Question 18 
Case-based reasoning is based on experience with similar situations.
True
False
Question 19 
The most widely used supervised learning algorithm in neural computing is forward neural propagation.
True
False
Question 20 
Case-based reasoning is appropriate when the problem domain is already precedent based.
True
False
Question 21 
Case-based reasoning relies on indexing new events for subsequent usage.
True
False
Question 22 
Machine learning and knowledge acquisition are essentially the same thing.
True
False
Question 23 
Back propagation is a method of the:
summation function.
transformation function.
training parameters.
training algorithms.
None of these.
Question 24 
Axons provide inputs to neurons, dendrites send output signals.
True
False
Question 25 
Modification rules determine the scope of change when using an historical case to evaluate a new problem.
True
False

Question 26 
Fuzzy logic is designed primarily to handle structured problems that are repetitive in nature.
True
False
Question 27 
The difference between the desired outputs and the actual ones determines the value of:
the threshold.
the transformation function.
the summation function.
the weights.
All of these.
Question 28 
Learning rate and momentum are adjusted when training a back propagation neural network.
True
False
Question 29 
The ability to recall complete situations from partial information is called:
spatial memory.
neural averaging.
associative memory.
relational memory.
None of these.
Question 30 
Some neural network learning methods involve computing errors between known outputs and computed outputs and propagating the corrections forward through the network.
True
False
Question 31 
A neuron is:
a part of an electron.
the smallest component of the computer.
a brain cell that possess information.
a portion of the computer's memory.
None of these.

Question 32 
The primary knowledge element in case-based reasoning is the rule base.
True
False
Question 33 
In supervised learning:
only input stimuli are fed into the network.
both the inputs and the desired outputs are known.
the desired output and the algorithms are known.
the network is controlled by the user.
None of these.
Question 34 
Machines learn in a manner similar to people.
True
False
Question 35 
An expert is:
a person who is paid a lot of money.
a person who can correctly recognize problems and solve them quickly.
a person who knows something about everything.
a person who has been promoted to senior management in an organization.
None of these.
Question 36 
A distinguishing feature of an expert system is that it involves knowledge processing.
True
False
Question 37 
Symbolic processing refers to:
non-numerical processing.
use of mathematical symbols in the analysis.
heuristic processing.
manipulation of numerical symbols.
None of these.
Question 38 
Artificial intelligence methods typically use algorithms to determine solutions to problems.
True
False
Question 39 
The police are looking for a suspected criminal in a large city. The method they should use in the search is:
random search.
heuristics.
systematically search street by street.
use an algorithm to locate the suspect.
None of these.
Question 40 
Intuitive rules of thumb are referred to as algorthistics.
True
False
Question 41 
The inference engine performs the reasoning in an expert system.
True
False
Question 42 
The knowledge base of an expert system is the same as a knowledge repository in a knowledge management system.
True
False
Question 43 
Expert systems are called expert because they perform at an expert level of performance.
True
False
Question 44 
Which of the following is true of expert systems?
Explanation is part of most expert systems.
Expert systems may make a mistake.
Effectiveness is a major goal.
Changes in the rules are easy to make.
All of these.
Question 45 
Genetic algorithms and intelligent agents are essentially the same thing.
True
False
Question 46 
One generic category of expert systems is interpretation systems.
True
False
Question 47 
Neural networks use iconic models to simulate human brain functions.
True
False
Question 48 
Robotics is AI combined with sensory systems.
True
False
Question 49 
Voice recognition requires the use of artificial intelligence.
True
False
Question 50 
Intuitive rules of thumb are:
knowledge rules.
heuristics.
information rules.
relevant rules.
All of these.