Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

CompSci37: AI > Lec 1 | Knowledge > Flashcards

Lec 1 | Knowledge Flashcards

Terms lang

1
Q

Agents that reason by operating on internal representations of knowledge

A

Knowledge Based Agents

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

An assertion about the world in a knowledge representation language

A

Sentence

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

It is based on propositions; statements about the world that can be either true or false

A

Propositional logic

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

What are propositional symbols?

A

Propositional symbols are most often letters (P, Q, R) that are used to represent a proposition.

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

What are the logical connectives?

A

not, and, or, implication, and biconditional

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

Logical Connectives:

Inverses the truth value of the proposition.

A

Not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Logical Connectives:

Connects two different propositions

A

And

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Logical Connectives:

It is true as long as either one of its arguments is true

A

Or

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

Logical Connectives:

Represents a structure of “if P then Q.” Where P is the antecedent and Q is called the consequent

A

Implication

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

Logical Connectives:

An implication that goes both directions. You can read it as “if and only if.”

A

Biconditional

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

It is an assignment of a truth value to every propositional symbol (a “possible world”).

A

Model

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

It is the truth-value assignment that provides information about the world.

A

Model

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

A set of sentences known by a knowledge-based agent

A

Knowledge Base (KB)

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

This is knowledge that the AI is provided about the world in the form of propositional logic sentences that can be used to make additional inferences about the world.

A

Knowledge Base (KB)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

In every model or world in which sentence α is true, sentence β is also true

A

Entailment

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

The process of deriving new sentences
from old ones

A

Inference

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What is the Model Checking algorithm?

A

To determine if KB ⊨ α (in other words, answering the question: “can we conclude that α is true based on our knowledge base”)
* Enumerate all possible models.
* If in every model where KB is true, α is true as well, then KB entails α (KB ⊨ α).
* Otherwise KB does not entail α

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Is the model checking algorithm efficient?

A

Model Checking is not an efficient algorithm because it has to consider every possible model before giving the answer (a reminder: a query R is true if under all the models (truth assignments) where the KB is true, R is true as well).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is the difference between the Model Checking Algorithm and the Inference Rules?

A

Inference rules allow us to generate new information based on existing knowledge without considering every possible model.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What are needed to run the Model Checking algorithm?

A
  • Knowledge Base, which will be used to draw inferences
  • A query, or the proposition that we are interested in whether it is entailed by the KB
  • Symbols, a list of all the symbols (or atomic propositions) used (in our case, these are rain, hagrid, and dumbledore)
  • Model, an assignment of truth and false values to symbols
21
Q

The process of figuring out how to represent propositions and logic in AI.

A

Knowledge Engineering

22
Q

What are the Inference Rules?

A

Modus Ponens, Elimination, Double Negation Elimination, Biconditional Elimination, De Morgan’s Law, and Distributive Property

23
Q

Theorem Proving

A
  • Initial state: starting knowledge base
  • Actions: inference rules
  • Transition model: new knowledge base after inference
  • Goal test: checking whether the statement that we are trying to prove is in the KB
  • Path cost function: the number of steps in the proof
24
Q

A powerful inference rule that states that if one of two atomic propositions in an Or proposition is false, the other has to be true.

A

Resolution

25
Q

What does Resolution rely on?

A

Complementary Literals

26
Q

Two of the same atomic propositions where one is negated and the other is not, such as P and ¬P.

A

Complementary Literals

27
Q

It is a disjunction of literals (a propositional symbol or a negation of a propositional symbol, such as P, ¬P)

28
Q

Consists of propositions that are connected with an Or logical connective (P ∨ Q ∨ R)

A

Disjunction

29
Q

Logical sentence that is a conjunction of clauses. for example: (A ∨ B ∨ C) ∧ (D ∨ ¬E) ∧ (F ∨ G)

A

Conjunctive Normal Form (CNF)

29
Q

Consists of propositions that are connected with an And logical connective (P ∧ Q ∧ R)

A

Conjunctions

30
Q

What are the steps in Converting Propositions to CNF?

A
  1. Eliminate biconditionals
    * Turn (α ↔ β) into (α → β) ∧ (β → α).
  2. Eliminate implications
    * Turn (α → β) into ¬α ∨ β.
  3. Move negation inwards until only literals are being negated (and not clauses), using De Morgan’s Laws.
    * Turn ¬(α ∧ β) into ¬α ∨ ¬β
31
Q

What process is used when a clause contains the same literal twice?

A

Factoring. The duplicate literal is removed.

32
Q

Proof by contradiction

A 
To determine if KB ⊨ α:
    Check: is (KB ∧ ¬α) a contradiction?
        If so, then KB ⊨ α.
        Otherwise, no entailment.
33
Q

Another Resolution Algorithm

A 
To determine if KB ⊨ α:
    - Convert (KB ∧ ¬α) to Conjunctive Normal Form.
    - Keep checking to see if we can use resolution to produce a new clause.
    - If we ever produce the empty clause (equivalent to False), a contradiction has been reached, thus proving that KB ⊨ α.
    - However, if contradiction is not achieved and no more clauses can be inferred, there is no entailment.
34
Q

Another type of logic that allows us to express more complex ideas more succinctly than propositional logic.

A

First Order Logic

35
Q

What are the two types of Symbols used in First Order Logic?

A

Constant Symbols and Predicate Symbols.

36
Q

What do constant symbols represent?

37
Q

What are predicate symnols?

A

Predicate symbols are like relations or functions that take an argument and return a true or false value.

38
Q

It is a tool that can be used in first order logic to represent sentences without using a specific constant symbol.

A

Quantification

39
Q

What symbol is used in Universal Quantification?

A

Universal quantification uses the symbol ∀ to express “for all.”

40
Q

It is an idea parallel to universal quantification.

A

Existential Quantification

41
Q

It is used to create sentences that are true for at least one x.

A

Existential Quantification

42
Q

What symbol is used in Existential Quantification?

A

It is expressed using the symbol ∃.

43
Q

Can the Existential and Universal Quantification be used in the same sentence?

A

Yes. For example, the sentence ∀x. Person(x) → (∃y. House(y) ∧ BelongsTo(x, y)) expresses the idea that if x is a person, then there is at least one house, y, to which this person belongs. In other words, this sentence means that every person belongs to a house.

44
Q

CS50 QUIZ

Consider these logical sentences:

  1. If Hermione is in the library, then Harry is in the library.
  2. Hermione is in the library.
  3. Ron is in the library and Ron is not in the library.
  4. Harry is in the library.
  5. Harry is not in the library or Hermione is in the library.
  6. Ron is in the library or Hermione is in the library.

Which of the following logical entailments is true?

  • Sentence 6 entails Sentence 2
  • Sentence 1 entails Sentence 4
  • Sentence 6 entails Sentence 3
  • Sentence 2 entails Sentence 5
  • Sentence 1 entails Sentence 2
  • Sentence 5 entails Sentence 6
A

Sentence 2 entails Sentence 5

45
Q

CS50 QUIZ

There are other logical connectives that exist, other than the ones discussed in lecture. One of the most common is “Exclusive Or” (represented using the symbol ⊕). The expression A ⊕ B represents the sentence “A or B, but not both.” Which of the following is logically equivalent to A ⊕ B?

  • (A ∨ B) ∧ ¬ (A ∧ B)
  • (A ∧ B) ∨ ¬ (A ∨ B)
  • (A ∨ B) ∧ (A ∧ B)
  • (A ∨ B) ∧ ¬ (A ∨ B)
A

(A ∨ B) ∧ ¬ (A ∧ B)

46
Q

CS50 QUIZ

Let propositional variable R be that “It is raining,” the variable C be that “It is cloudy,” and the variable S be that “It is sunny.” Which of the following a propositional logic representation of the sentence “If it is raining, then it is cloudy and not sunny.”?

  • (R → C) ∧ ¬S
  • R → C → ¬S
  • R ∧ C ∧ ¬S
  • R → (C ∧ ¬S)
  • (C ∨ ¬S) → R
A

R → (C ∧ ¬S)

47
Q

CS50 QUIZ

Consider, in first-order logic, the following predicate symbols. Student(x) represents the predicate that “x is a student.” Course(x) represents the predicate that “x is a course.” Enrolled(x, y) represents the predicate that “x is enrolled in y.” Which of the following is a first-order logic translation of the sentence “There is a course that Harry and Hermione are both enrolled in.”?

  • ∃x. Course(x) ∧ Enrolled(Harry, x) ∧ Enrolled(Hermione, x)
  • ∀x. Course(x) ∧ Enrolled(Harry, x) ∧ Enrolled(Hermione, x)
  • ∃x. Enrolled(Harry, x) ∧ ∃y. Enrolled(Hermione, y)
  • ∀x. Enrolled(Harry, x) ∧ ∀y. Enrolled(Hermione, y)
  • ∃x. Enrolled(Harry, x) ∨ Enrolled(Hermione, x)
  • ∀x. Enrolled(Harry, x) ∨ Enrolled(Hermione, x)
A

∃x. Course(x) ∧ Enrolled(Harry, x) ∧ Enrolled(Hermione, x)

CompSci37: AI (7 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2025 Bold Learning Solutions. Terms and Conditions