Artificial Intelligence Chapter 16: Decision Making
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Artificial Intelligence Chapter 16: Decision Making

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Questions and Answers

What is the expected monetary value (EMV) of the gamble if the coin is fair in the given scenario?

$1,250,000

What are the expected utilities of accepting and declining the gamble based on the provided utilities?

EU (Accept) = 1/2 * U(Sk) + 1/2 * U(Sk+2,500,000), EU (Decline) = U(Sk+1,000,000)

What is the utility function for Mr. Beard as shown in Figure 16.2(a)?

U(Sk+n) = −263.31 + 22.09 log(n + 150,000)

What is the existence of a utility function based on?

<p>Preferences</p> Signup and view all the answers

What is the rational action to take if faced with the gamble scenario?

<p>Decline the gamble</p> Signup and view all the answers

Risk-averse agents prefer a sure thing with a payoff less than the expected monetary value of a gamble.

<p>True</p> Signup and view all the answers

Utility theory states that all rational agents must obey specific axioms.

<p>True</p> Signup and view all the answers

What is the utility of a lottery according to utility theory?

<p>sum of the probability of each outcome times the utility of that outcome</p> Signup and view all the answers

In utility theory, a utility function maps from lotteries to ___.

<p>real numbers</p> Signup and view all the answers

What is the basic principle of decision theory discussed in Section 16.1?

<p>maximization of expected utility</p> Signup and view all the answers

Which function captures the agent's preferences by assigning a single number to express the desirability of a state?

<p>Utility function</p> Signup and view all the answers

The Maximum Expected Utility (MEU) principle states that an agent should choose the action with the lowest expected utility.

<p>False</p> Signup and view all the answers

_______ is a random variable in decision theory that represents the possible outcome states given evidence observations.

<p>Result (a)</p> Signup and view all the answers

Match the following constraints with their descriptions in utility theory:

<p>Orderability = Agent must either prefer one option to another or rate them as equally preferable. Transitivity = If agent prefers A to B and B to C, then the agent must prefer A to C. Continuity = If lottery B is between A and C in preference, then there is some probability p for which agent will be indifferent. Substitutability = If agent is indifferent between two lotteries A and B, then agent is indifferent between more complex lotteries with B substituted for A. Monotonicity = If agent prefers one outcome over another, they must prefer the lottery with a higher probability for that outcome. Decomposability = Compound lotteries can be reduced to simpler ones using the laws of probability.</p> Signup and view all the answers

What does the optimizer's curse result from?

<p>The ubiquity of utility-maximizing selection processes</p> Signup and view all the answers

Decision theory is a descriptive theory that describes how actual agents act.

<p>False</p> Signup and view all the answers

What is the term used for the phenomenon where people are strongly attracted to gains that are certain?

<p>certainty effect</p> Signup and view all the answers

The Allais paradox involves people consistently preferring ______ over A and C over D.

<p>B</p> Signup and view all the answers

Match the following phenomenon with its description:

<p>Framing Effect = The impact of the wording of a decision problem on choices Anchoring Effect = The bias towards known probabilities over unknown probabilities Ambiguity Aversion = Preferring certain gains over uncertain gains</p> Signup and view all the answers

What is the term used to describe a situation where one option is of lower value on all attributes than some other option?

<p>strict dominance</p> Signup and view all the answers

What is the term for a situation where despite uncertainty, all possible concrete outcomes for S1 strictly dominate all possible outcomes for S2?

<p>Stochastic dominance</p> Signup and view all the answers

Stochastic dominance can always be determined by comparing the expected costs of two options.

<p>False</p> Signup and view all the answers

In deterministic preference structures, the basic regularity that arises is called preference __________.

<p>independence</p> Signup and view all the answers

Match the term with its description:

<p>Preference independence = Two attributes X1 and X2 are preferentially independent of a third attribute X3 if the preference between outcomes does not depend on the particular value of X3. Mutual preferential independence = The set of attributes exhibits mutual preferential independence if each attribute is important but does not affect the trade-offs between other attributes. Stochastic dominance = Despite uncertainty, all possible concrete outcomes for S1 strictly dominate all possible outcomes for S2.</p> Signup and view all the answers

What is postcoarctectomy syndrome?

<p>A condition that occurs after coarctectomy surgery</p> Signup and view all the answers

What is tachypnea?

<p>Rapid breathing</p> Signup and view all the answers

What is tachycardia?

<p>Rapid heart rate</p> Signup and view all the answers

What is paradoxical hypertension?

<p>A condition where blood pressure increases despite treatment</p> Signup and view all the answers

What is failure to thrive?

<p>A condition where an individual fails to develop or grow at a normal rate</p> Signup and view all the answers

What is aortic hypertension?

<p>High blood pressure in the aorta</p> Signup and view all the answers

What does the value of information derive from?

<p>The value of information derives from the fact that with the information, one’s course of action can be changed to suit the actual situation.</p> Signup and view all the answers

What are the two factors that determine the importance of tests according to the text?

<p>Whether the test results would lead to a significantly better treatment plan</p> Signup and view all the answers

The expected profit for the company, given survey information, is $C/n(n-1)$. Therefore, the company should be willing to pay the seismologist up to ____ dollars for the information.

<p>C/n</p> Signup and view all the answers

The expected value of information can be negative.

<p>False</p> Signup and view all the answers

What distinguishes sensing actions from ordinary actions in terms of order independence?

<p>Order independence distinguishes sensing actions from ordinary actions.</p> Signup and view all the answers

What is the design principle mentioned when discussing the implementation of an information-gathering agent?

<p>Ask questions in a reasonable order</p> Signup and view all the answers

Myopic control uses the VPI formula shortsightedly.

<p>True</p> Signup and view all the answers

DECISION ANALYSIS studies the application of decision theory to actual __________ problems.

<p>decision</p> Signup and view all the answers

What is a value function of the type V (noise, cost, deaths) called?

<p>Additive value function</p> Signup and view all the answers

Which type of function represents an additive value function?

<p>Single-attribute utility function</p> Signup and view all the answers

Utility independence extends preference independence to cover lotteries.

<p>True</p> Signup and view all the answers

For conciseness, in a multiplicative utility function, U = $k_1 U_1 + k_2 U_2 + k_3 U_3 + k_1 k_2 U_1 U_2 + k_2 k_3 U_2 U_3 + k_3 k_1 U_3 U_1$, an n-attribute problem exhibiting MUI can be modeled using ___ single-attribute utilities and ___ constants.

<p>n; n</p> Signup and view all the answers

Match the following node types with their representations in decision networks:

<p>Chance nodes = Represent random variables Decision nodes = Represent points where decisions are made Utility nodes = Represent the agent's utility function</p> Signup and view all the answers

Study Notes

Making Simple Decisions

  • Decision theory combines with probability theory to yield a decision-theoretic agent that can make rational decisions based on what the agent believes and wants.
  • The principle of maximum expected utility (MEU) says that a rational agent should choose the action that maximizes the agent's expected utility.

Combining Beliefs and Desires Under Uncertainty

  • Decision theory deals with choosing among actions based on the desirability of their immediate outcomes.
  • The agent's preferences are captured by a utility function, U(s), which assigns a single number to express the desirability of a state.
  • The expected utility of an action given the evidence, EU(a|e), is the average utility value of the outcomes, weighted by the probability that the outcome occurs.
  • The principle of maximum expected utility (MEU) says that a rational agent should choose the action that maximizes the agent's expected utility.

The Basis of Utility Theory

  • The principle of Maximum Expected Utility (MEU) seems like a reasonable way to make decisions, but it is by no means obvious that it is the only rational way.
  • There are six constraints that a rational preference relation should obey:
    • Orderability: Given any two lotteries, a rational agent must either prefer one to the other or rate the two as equally preferable.
    • Transitivity: Given any three lotteries, if an agent prefers A to B and prefers B to C, then the agent must prefer A to C.
    • Continuity: If some lottery B is between A and C in preference, then there is some probability p for which the rational agent will be indifferent between getting B for sure and the lottery that yields A with probability p and C with probability 1 - p.
    • Substitutability: If an agent is indifferent between two lotteries A and B, then the agent is indifferent between two more complex lotteries that are the same except that B is substituted for A in one of them.
    • Monotonicity: Suppose two lotteries have the same two possible outcomes, A and B. If an agent prefers A to B, then the agent must prefer the lottery that has a higher probability for A (and vice versa).
    • Decomposability: Compound lotteries can be reduced to simpler ones using the laws of probability.

Preferences Lead to Utility

  • From the axioms of utility, we can derive the following consequences:
    • Existence of Utility Function: If an agent's preferences obey the axioms of utility, then there exists a function U such that U(A) > U(B) if and only if A is preferred to B, and U(A) = U(B) if and only if the agent is indifferent between A and B.
    • Expected Utility of a Lottery: The utility of a lottery is the sum of the probability of each outcome times the utility of that outcome.

Utility Functions

  • A utility function is a function that maps from lotteries to real numbers.
  • An agent's preferences can be unusual, but we can't call it irrational.
  • Utility assessment involves presenting choices to the agent and using the observed preferences to pin down the underlying utility function.
  • A scale can be established by fixing the utilities of any two particular outcomes, such as a "best possible prize" and a "worst possible catastrophe".### Probability and Utility
  • The probability p is adjusted until the agent is indifferent between a standard lottery and a lottery involving a prize, thus determining the utility of the prize.
  • In medical, transportation, and environmental decision problems, people's lives are at stake, and a value is assigned to immediate death (u⊥).

Micromort and QALY

  • Micromort: a one in a million chance of death, used as a "currency" in medical and safety analysis.
  • People are willing to pay about $50 per micromort, based on studies.

Utility of Money

  • Utility theory has its roots in economics, and economics provides a candidate for a utility measure: money.
  • Money plays a significant role in human utility functions, and agents usually prefer more money to less.
  • The utility of money is not directly proportional to monetary value, but rather concave for positive wealth and convex for negative wealth.

Risk Aversion and Seeking

  • Agents with concave utility curves are risk-averse, preferring a sure thing over a gamble.
  • Agents with convex utility curves are risk-seeking, preferring a gamble over a sure thing.
  • The certainty equivalent of a lottery is the value an agent will accept in lieu of the lottery.

Insurance Premium and Risk Neutrality

  • The difference between the EMV of a lottery and its certainty equivalent is called the insurance premium.
  • Insurance companies take advantage of people's risk aversion by offering insurance at a premium.
  • For small changes in wealth relative to current wealth, almost any curve will be approximately linear, making agents risk-neutral.

Expected Utility and Post-Decision Disappointment

  • The rational way to choose the best action is to maximize expected utility.
  • Estimates of expected utility may be unbiased, but still lead to disappointment due to optimistic estimates.
  • The optimizer's curse: the tendency for the estimated expected utility of the best choice to be too high, leading to disappointment.

Human Judgment and Irrationality

  • Decision theory is a normative theory, describing how a rational agent should act, but humans may not act rationally.
  • The Allais paradox: people consistently prefer B over A (taking the sure thing) and C over D (taking the higher EMV), contradicting normative analysis.
  • The certainty effect: people are strongly attracted to gains that are certain, which may be due to reducing computational burden, distrust of probabilities, or accounting for emotional state.
  • The Ellsberg paradox: people's choices are influenced by underconstrained probabilities, leading to apparent irrationality.### Ambiguity Aversion
  • Ambiguity aversion is the tendency for people to prefer known probabilities over unknown ones.
  • Example: people prefer lottery A (100 dollars for a red ball) over B (100 dollars for a black ball) and also prefer D (100 dollars for a black or yellow ball) over C (100 dollars for a red or yellow ball), even though there is no state of the world where this is rational.

Framing Effect

  • The framing effect is the tendency for people to be influenced by the way a decision problem is framed.
  • Example: people prefer a medical procedure with a "90% survival rate" over one with a "10% death rate", even though they mean the same thing.

Anchoring Effect

  • The anchoring effect is the tendency for people to rely too heavily on the first piece of information they receive when making decisions.
  • Example: a restaurant offers a $200 bottle of wine to make the $55 bottle seem like a bargain.

Multiattribute Utility Theory

  • Multiattribute utility theory is used to handle decision problems with multiple attributes.
  • Attributes are characterized by multiple values, and a complete vector of assignments is a combination of these values.
  • Higher values of an attribute correspond to higher utilities.
  • Strict dominance occurs when one option is better than another on all attributes.
  • Stochastic dominance occurs when one option is better than another on all attributes, even when the outcomes are uncertain.

Stochastic Dominance

  • Stochastic dominance is a more general and useful concept than strict dominance.
  • It occurs when the cumulative distribution of one option is always to the right of the cumulative distribution of another option.
  • If an option A stochastically dominates an option B, then the expected utility of A is at least as high as the expected utility of B.
  • Qualitative probabilistic networks can be used to propagate stochastic dominance and make rational decisions without using numeric values.

Preference Structure and Multiattribute Utility

  • Multiattribute utility theory is based on the idea that preferences have regularity and structure.
  • Representation theorems are used to show that an agent with a certain preference structure has a utility function that can be decomposed into simpler functions.
  • Preference independence is a regularity that arises in deterministic preference structures.
  • Mutual preferential independence occurs when a set of attributes exhibits preference independence with respect to each other.
  • Mutual preferential independence leads to a simple form for the agent's value function, which can be derived using a theorem by Gérard Debreu.

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This chapter covers how an agent makes decisions based on utility theory and probability theory to get what it wants.

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