Anscombe-Aumann Subjective Expected Utility Model
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decision theory Decision theory or the theory of rational choice is a branch of probability theory, probability, economics, and analytic philosophy that uses expected utility and probabilities, probability to model how individuals would behave Rationality, ratio ...
, the Anscombe-Aumann subjective expected utility model (also known as Anscombe-Aumann framework, Anscombe-Aumann approach, or Anscombe-Aumann representation theorem) is a framework to formalizing
subjective expected utility In decision theory, subjective expected utility (SEU) is a framework for modeling how individuals make choices under uncertainty. In particular, it posits that decision-makers have 1) a subjective probability distribution over uncertain states of t ...
(SEU) developed by Frank Anscombe and
Robert Aumann Robert John Aumann (Yisrael Aumann, ; born June 8, 1930) is an Israeli-American mathematician, and a member of the United States National Academy of Sciences. He is a professor at the Center for the Study of Rationality in the Hebrew University ...
. Anscombe and Aumann's approach can be seen as an extension of Savage's framework to deal with more general acts, leading to a simplification of Savage's representation theorem. It can also be described as a middle-course theory that deals with both objective uncertainty (as in the von Neumann-Morgenstern framework) and subjective uncertainty (as in Savage's framework). The Anscombe-Aumann framework builds upon previous work by Savage, von Neumann, and Morgenstern on the theory of choice under uncertainty and the formalization of SEU. It has since become one of the standard approaches to choice under uncertainty, serving as the basis for alternative models of decision theory such as maxmin expected utility, multiplier preferences and
choquet expected utility A Choquet integral is a subadditive or superadditive integral created by the French mathematician Gustave Choquet in 1953. It was initially used in statistical mechanics and potential theory, but found its way into decision theory in the 1980s, ...
.


Setup


Roulette lotteries and horse lotteries

The Anscombe-Aumann framework is essentially the same as Savage's, dealing with primitives (\Omega, X, F, \succsim). The only difference is that now the set of acts F consists of functions f: \Omega \to \Delta (X), where \Delta (X) is the set of
lotteries A lottery (or lotto) is a form of gambling that involves the drawing of numbers at random for a prize. Some governments outlaw lotteries, while others endorse it to the extent of organizing a national or state lottery. It is common to find som ...
over outcomes X. This way, Anscombe and Aumann differentiate between the ''subjective'' uncertainty over the states \Omega (referred to as a ''horse lottery''), and the ''objective'' uncertainty given by the acts f (referred to as ''roulette lotteries''). Importantly, such assumption greatly simplifies the proof of an expected utility representation, since it gives the set F a
linear In mathematics, the term ''linear'' is used in two distinct senses for two different properties: * linearity of a '' function'' (or '' mapping''); * linearity of a '' polynomial''. An example of a linear function is the function defined by f(x) ...
structure inherited from \Delta(X). In particular, we can define a mixing operation: given any two acts f, g \in F and \alpha \in ,1/math>, we have the act \alpha f + (1-\alpha) g \in F define by (\alpha f + (1-\alpha) g) (\omega) = \alpha f (\omega) + (1-\alpha) g (\omega) \in \Delta (X) for all \omega \in \Omega.


Expected utility representation

As in Savage's model, we want to derive conditions on the primitives (\Omega, X, F, \succsim) such that the preference \succsim can be represented by expected-utility maximization. Since acts are now themselves lotteries, however, such representation involves a probability distribution p \in \Delta (\Omega) and a utility function u: X \to \mathbb R which must satisfy f \succsim g \iff \int_ \mathop_ \left (x)\right\textp(\omega) \geq \int_ \mathop_ \left (x)\right\textp(\omega).


Axioms

Anscombe and Aumann posit the following axioms regarding \succsim: * Axiom 1 (Preference relation) : \succsim is complete (for all f, g \in F, it's true that f \succsim g or g \succsim f) and transitive. * Axiom 2 (Independence axiom): given f, g \in F, we have that :f \succsim g \iff \alpha f + (1-\alpha) h \succsim \alpha g + (1-\alpha) h for any h \in F and \alpha \in ,1/math>. * Axiom 3 (Archimedean axiom): for any f, g, h such that f \succ g \succ h, there exist \alpha, \beta \in (0,1) such that : \alpha f + (1-\alpha) h \succ g \succ \beta f + (1-\beta) h. For any act f \in F and state \omega \in \Omega, let f_ \equiv f(\omega) be the constant act with value f(\omega). * Axiom 4 (Monotonicity): given acts f, g \in F, we have :f_ \succsim g_ \text \forall \omega \in \Omega \implies f \succsim g. * Axiom 5 (Non- triviality): there exist acts f, f' \in F such that f \succ f'.


Anscombe-Aumann representation theorem

Theorem: given an environment (\Omega, X, F, \succsim), the preference relation \succsim satisfies Axioms 1-5 if and only if there exist a probability distribution p \in \Delta(\Omega) and a non-constant utility function u: X \to \mathbb R such that f \succsim g \iff \int_ \mathop_ \left (x)\right\textp(\omega) \geq \int_ \mathop_ \left (x)\right\textp(\omega) for all acts f, g. Furthermore, p is unique and u is unique
up to Two Mathematical object, mathematical objects and are called "equal up to an equivalence relation " * if and are related by , that is, * if holds, that is, * if the equivalence classes of and with respect to are equal. This figure of speech ...
positive
affine transformation In Euclidean geometry, an affine transformation or affinity (from the Latin, '' affinis'', "connected with") is a geometric transformation that preserves lines and parallelism, but not necessarily Euclidean distances and angles. More general ...
s.


See also

*
Savage's subjective expected utility model In decision theory, Savage's subjective expected utility model (also known as Savage's framework, Savage's axioms, or Savage's representation theorem) is a formalization of subjective expected utility (SEU) developed by Leonard J. Savage in his 19 ...
*
von Neumann-Morgenstern utility theorem The term () is used in German surnames either as a nobiliary particle indicating a noble patrilineality, or as a simple preposition used by commoners that means or . Nobility directories like the often abbreviate the noble term to ''v.'' ...


Notes


References

{{Decision theory Decision theory Expected utility Choice modelling Rational choice theory Economics theorems