Unit-4 Knowledge representation Flashcards

1
Q

Q: What is First-Order Logic (FOL)?

A

A: First-Order Logic (FOL), also known as predicate logic, is a formal system that allows for the representation and reasoning of knowledge and relationships in a structured way, extending propositional logic.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Q: How does FOL improve upon propositional logic?

A

A: FOL allows for more complex expressions by introducing predicates, which represent properties of objects and relationships between them, enabling reasoning about individual elements in a domain.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Q: What are predicates in FOL?

A

A: Predicates are functions that take one or more arguments and return a truth value (true or false), expressing properties or relationships (e.g., likes(x, y)).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Q: Define constants and variables in FOL.

A

A: Constants represent specific entities in the domain (e.g., “lion”), while variables act as placeholders for unspecified objects (e.g., in likes(x, y), x and y are variables).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Q: What are the main components of FOL syntax?

A

A: The main components include constants, variables, predicates, functions, quantifiers (universal and existential), and logical connectives.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Q: Explain the role of quantifiers in FOL.

A

A: Quantifiers specify the scope of variables:

Universal Quantifier (∀) indicates a statement holds for all instances (e.g., ∀x Likes(x, IceCream)).
Existential Quantifier (∃) indicates at least one instance exists for which the statement is true (e.g., ∃x Likes(x, Pizza)).
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Q: What are logical connectives in FOL?

A

A: Logical connectives are operators used to combine statements:

AND (∧), OR (∨), NOT (¬), Implication (→), and Biconditional (↔).
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Q: What does the negation symbol (¬) represent in FOL?

A

A: Negation (¬) represents logical NOT, which negates the truth value of a proposition (e.g., ¬p means “It is not raining”).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Q: Describe the process of inference in First-Order Logic.

A

A: Inference in FOL involves deriving new knowledge from a set of logical statements using rules of deduction, such as Modus Ponens and Modus Tollens.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Q: What is Modus Ponens?

A

A: Modus Ponens is an inference rule stating that if P → Q (if P then Q) and P are both true, then Q must also be true.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Q: What is Modus Tollens?

A

A: Modus Tollens is an inference rule stating that if P → Q and ¬Q (not Q) are true, then ¬P must also be true.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Q: What is resolution in FOL?

A

A: Resolution is an inference rule used in automated theorem proving, which refutes the negation of a statement to derive conclusions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Q: Explain unification in FOL.

A

A: Unification is the process of finding substitutions for variables in logical expressions to make two expressions identical, crucial for theorem proving and logic programming.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Q: What conditions must be met for unification to occur?

A

A: For unification:

The predicate symbols must be the same.
The number of arguments in both expressions must match.
No similar variables should be present in the same expression.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Q: Provide an example of unification in FOL.

A

A: Given expressions P(f(X), Y) and P(Z, g(a)), unification can yield substitutions Z = f(X) and Y = g(a) to make them identical.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Q: What is forward chaining in FOL?

A

A: Forward chaining is a reasoning method that starts with known facts and applies inference rules to derive new conclusions until a goal is reached.

17
Q

Q: What is backward chaining in FOL?

A

A: Backward chaining is a reasoning strategy that begins with a goal and works backwards to find known facts that support it, often using a depth-first search approach.

18
Q

Q: Explain lifting in the context of FOL.

A

A: Lifting is the process of applying concepts from propositional logic to FOL by generalizing operations like resolution or unification, considering the structure of predicates and quantifiers.

19
Q

Q: What is the significance of First-Order Logic in AI?

A

A: FOL provides a powerful framework for knowledge representation, enabling more expressive reasoning about objects, properties, and relationships compared to propositional logic.

20
Q
A