1.A layer in neural network which does all kinds of calculations and feature extractions is called

Question

A.Input layer
B.Hidden layer
C.Output layer
D.All of mentioned
2.Type of knowledge which is used for knowing how to do something and includes rules, strategies and procedures is
A.Procedural knowledge
B.Structural knowledge
C.Declarative knowledge
D.Meta knowledge
3.Which one of the following is true about semantic network knowledge representation?
A.It is used as an alternative of predicate logic for knowledge representation.
B.It represents knowledge in the form of graphical networks.
C.It categorizes the object in different forms and links those objects.
D.All are true
4.Which knowledge representation uses a collection of attributes and values to describe an entity in the world?
A.Semantic network representation
B.Framerepresentation
C.Predicate Logic
D.Prepositional Logic
5. states that if premise P(c) is true for any arbitrary element c in the universe of
discourse, then we can have a conclusion as ∀x P(x).
A.Universal Elimination
B.Universal Generalization
C.Universal Instantiation
D.None of the above
6.Which one of the following is not true about knowledge-base of knowledge-based
system?
A.It represents the actual facts which exist in the real world.
B.It is the central component of a knowledge-based agent.
C.It is a set of sentences which describes the information related to the world.
D.It allows knowledge-based system to gather new knowledge in the system.
7. states that one can infer P(c) from the formula given in the form of ∃x P(x)
for a new constant symbol c.
A.Existential Instantiation
B.Existential Introduction
C.Existential Elimination
D.A and C are correct answers
8.Which one is true about first order logic?
A.It is extension of propositional logic.
B.It can sufficiently express natural language statements in a concise way.
C.It has capability of expressing facts about some or all objects in the universe.
D.It has very limited expressive power.

Answer 1

Here are the answers to your questions:

1. B. Hidden layer
   A hidden layer in a neural network is responsible for performing computations and feature extraction based on the inputs received.

2. A. Procedural knowledge
   Procedural knowledge refers to knowledge about how to perform tasks or activities and includes rules, strategies, and procedures.

3. D. All are true
   Semantic networks do serve as an alternative to predicate logic, represent knowledge in graphical forms, and categorize objects while linking them.

4. B. Frame representation
   Frame representation uses structured collections of attributes and values to describe entities.

5. B. Universal Generalization
   Universal Generalization states that if a property holds for every arbitrary element in the domain, then it can be generalized to all elements.

6. D. It allows knowledge-based system to gather new knowledge in the system.
   While knowledge bases contain facts and representation of the world, they typically do not dynamically gather new knowledge; this would be part of a learning mechanism.

7. A. Existential Instantiation
   This refers to inferring a specific instance from a general statement regarding the existence of some object satisfying a given property.

8. A. It is extension of propositional logic.
   First-order logic extends propositional logic by introducing quantifiers and predicates, allowing for more expressive power concerning objects and their relationships.

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