Chapter 1: Introduction Flashcards

1
Q

Logic

A

Study of rules of proper reasoning

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2
Q

Decision Theory

A

Theory of rational decision making.

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3
Q

In Decision Theory, there is a ___________ ____________ who is presented with a ___________ of ________________, for which there will be an _____________ that depends on the true ___________ of the ___________ (the way in which the ____________ __________).

A

decision maker; set; alternatives; outcome; state; world; world; works

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4
Q

The true state of the world is only ______________ known to the _______________ _______________.

A

partially; decision maker

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5
Q

Decision Matrix

A

Visualizes a formal representation of a decision problem graphically.

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6
Q

Aim of Decision Theory

A

To form hypothesis about rational decision making that are as accurate and precise as possible.

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7
Q

Descriptive Decision Theory

A

Explains / predicts WHY people make decisions

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8
Q

Normative Decision Theory

A

Explains what people are rationally required /ought to do

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9
Q

Why do we study Normative instead of Descriptive decision theory?

A

Descriptive Theory theorizes WHY people make decisions – that’s bound to change across time and cultures.

Normative Theory will likely remain unchanged & withstand the test of time.

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10
Q

Normative assessments are based on ________________, _____________, and ___________.

A

standards; values; ideas

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11
Q

David Hume’s contribution to modern idea of decision theory is that decisions are largely based on ______________ and ______________.

A

belief; desire

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12
Q

Decisions theorists are more concerned with ______________ decisions than ______________ ones.

A

rational; right

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13
Q

A decision can be _____________ w/o being __________ and _________ w/o being _________________.

A

rationale; right; right; rational

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14
Q

Theories of rationality rely on _____________ available at the ____________ point in time, not ________________ available at some time _____________ in the ____________.

A

information; present; information; later; future

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15
Q

Right Decision

A

A decision is a right decision if and only if the outcome is at least as good as every other potential ouctome.

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16
Q

Rational Decision

A

A decision is a rational decision if and only if the decision maker makes the choice that she has the most reason to choose at the time of the decision being made.

17
Q

In instrumental rationality, one has an _______ and expects to reach that _______.

A

aim; aim

18
Q

Instrumental Rationality

A

To do whatever one has the most reason to in fulfilling one’s aim.

19
Q

The _________ itself in ________________ _______________ cannot be considered _______________.

A

aim; irrational

20
Q

Decisions under Risk

A

decisions made when decision maker knows outcome.

21
Q

Decisions under Ignorance

A

decisions made when probabilities are unknown/nonexistent

22
Q

Problems of decisions under ignorance can be solved with choices under _________________.

A

dominance

23
Q

Strict Dominance

A

Option A strictly dominates Option B iff. the outcome of A is better than the outcome of B no matter the true state of the world.

24
Q

Weak Dominance

A

Option A weakly dominates Option B iff. the outcome of A is at least as good as the outcome of B no matter the state of the world, AND strictly better than at least one state.

25
Q

With decisions under ignorance, where you have to use dominance, START BY MAKING a ______________ ____________. Set up your _____________, _________, and _____________.

A

decision matrix; states; acts; outcomes

26
Q

States

A

What’s your state of the world?

(e.g. you misheard, or heard correctly)

27
Q

Acts

A

From the problem, what actions are available to you?

(e.g. buy from Dealership A or from Dealership B)

28
Q

Outcomes

A

Results from State of the world and actions

What course of action is now available?

29
Q

The Principle of Maximizing Expected Value

A
  • Only applied when making desicions under risk (You Know The Outcome)
  • Total value of an action = sum of values of possible outcomes × probability for each outcome.
30
Q

Expected Monetary Value (EMV). Expected in this case means _______________. If the outcomes have the same __________, then the EMV is that ______________. If not, then the EMV is calculated by ______ of the values of the ___________ ___________ x the ______________ of each ______________.

A

Average; value; number; sum; possible outcomes; probability; outcome.

31
Q

Maximin

A

-Only applied when making decisions under ignorance (probabilities unknown/non-existent).

  • Take the Best of the worst possible outcomes
32
Q

Social Choice Theory

A
  • Focuses on making decisions collectively (>1 person)

!!Focuses on aggregating different desires and beliefs of heterogenous individuals towards of collective opinion!!

33
Q

Game Theory

A
  • Focuses on decision making based on another person’s decision.
34
Q

Baye’s Theorem

A
  • Calculates conditional probabilities.
  • p(B|A) = p(B) * p (A) / [p(B) * p(A|B)] + [p(¬B) * p(A|¬B)]
35
Q

Frequency Format of Bayes Theorem

A

1) Assume
2) Base Rate Cut
3) Hit Rate Cut
4) False Alarm Rate Cut
5) Comparison: True positives among total positives