Question 1

Expertise refers to the extensive, task-specific knowledge acquired from training, reading, and experience.

Accepted Answer

Expertise is a type of knowledge that is acquired through training, reading, and experience and is specific to particular tasks or domains.

Question 2

A genetic algorithm finds the combination of inputs that produces the best outputs.

Accepted Answer

This is true. Genetic algorithms use a population of potential solutions and iteratively refine them through selection, crossover, and mutation to find the combination of inputs that produces the best outputs.

Question 3

The goal of artificial intelligence is to completely replace human intelligence.

Accepted Answer

The goal of artificial intelligence is to enhance and augment human intelligence, not to completely replace it. Despite advancements in AI, there are certain tasks that still require human input and expertise. Furthermore, there is ongoing debate about the ethics and potential dangers of creating AI that surpasses human intelligence.

Question 4

Neural networks require complete inputs to be effective.

Accepted Answer

Neural networks can handle incomplete inputs through mechanisms like dropout, data augmentation, or by learning representations that are robust to missing data.

Question 5

Google uses fuzzy logic.

Accepted Answer

Google uses fuzzy logic in its search algorithms to match similar or related search terms and improve the accuracy of search results. Fuzzy logic allows for imprecise or uncertain input and can handle ambiguity better than traditional Boolean logic.

Question 6

A genetic algorithm is an optimizing method that finds the combination of outputs that produces the best inputs.

Accepted Answer

A genetic algorithm is an optimization method that simulates the process of natural selection to find the combination of inputs that produces the best outputs.

Question 7

Fuzzy logic can only address problems that are black and white.

Accepted Answer

Fuzzy logic is designed to address problems that are not black and white, but rather have shades of grey or uncertainty. Fuzzy logic can handle imprecise or vague situations where traditional logic may not be applicable.

Question 8

An expert system has a knowledge base and an inference engine.

Accepted Answer

This is a true statement. An expert system consists of a knowledge base where information and rules are stored, and an inference engine which uses this information to draw conclusions and provide solutions or recommendations.

Question 9

A user agent is also called a personal agent.

Accepted Answer

A user agent, often referred to as a personal agent, is a software application that acts on behalf of a user, such as a web browser or email client.

Question 10

Neural networks simulate the underlying concepts of the biological brain.

Accepted Answer

Neural networks are a type of artificial intelligence that attempt to mimic the way the human brain works, hence simulating the underlying concepts of the biological brain.

Question 11

One problem with expert systems is they decrease quality.

Accepted Answer

Expert systems are designed to improve quality by providing consistent and accurate decision-making guidance based on the knowledge of human experts. However, like any technology, their effectiveness depends on their development, implementation, and maintenance.

Question 12

Intelligent agents use expert systems and fuzzy logic to create their behaviour.

Accepted Answer

Intelligent agents can use expert systems and fuzzy logic to create their behaviour. Expert systems use rules and knowledge to make decisions, and fuzzy logic allows for more nuanced and flexible decision-making based on imprecise or uncertain data.

Question 13

A neural network has two layers of interconnected nodes.

Accepted Answer

A neural network can have more than two layers of interconnected nodes; it can consist of an input layer, multiple hidden layers, and an output layer.

Question 14

Fuzzy logic defines subjective concepts.

Accepted Answer

Fuzzy logic is a form of logic that deals with reasoning that is approximate rather than fixed and exact. It is used to model and deal with subjective concepts and uncertainties. Therefore, fuzzy logic does define subjective concepts.

Question 15

Which of the following is not a characteristic of natural intelligence?
A)It is perishable from an organizational point of view.
B)It is easy, fast, and inexpensive.
C)It is erratic and inconsistent.
D)It is highly creative.
E)It makes use of a wide context of experiences.

Accepted Answer

Natural intelligence is not easy, fast, and inexpensive; it requires a lot of effort, time, and resources.

Question 16

Artificial intelligence is perishable, whereas natural intelligence is permanent from an organizational point of view.

Accepted Answer

Artificial intelligence (AI) systems can be updated, improved, and maintained indefinitely as long as there is a desire and resources to do so, making them not inherently perishable. Natural intelligence, embodied by humans, is limited by human lifespans and can be considered perishable in the context of an individual's contribution to an organization over time.

Question 17

A shopping bot is also called a personal agent.

Accepted Answer

The answer of A shopping bot is also called a...

Question 18

It is difficult to document the knowledge of artificial intelligence, but it is easy to document the knowledge of natural intelligence.

Accepted Answer

Both natural intelligence and artificial intelligence are difficult to document in their entirety, but the statement implies that it is easier to document the knowledge of natural intelligence, which is not necessarily true. Natural intelligence involves complex cognitive and behavioral processes that are still not fully understood and documented.

Question 19

The explanation subsystem is used to justify recommendations.

Accepted Answer

The explanation subsystem is designed to provide reasoning and justification for recommendations made by an AI system. It helps users understand the basis for the recommendations, which can increase their trust and confidence in the system.

Question 20

Expert systems attempt to mimic human experts by applying expertise in a specific domain.

Accepted Answer

Expert systems are designed to replicate the decision-making ability of a human expert in a particular field by applying knowledge, rules, and reasoning methods specific to that domain.

Quiz 17: Technology Guide 4 : Intelligent Systems