Decision Theory as a Theory of Practical Rationality.

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Decision theory tells what we may rationally prefer and not what we may rationally believe. Desires according to Hume, are original existences and not subject to rational assessment. Drier says this may be a bit of a bold statement but so what? It isn’t irrational that we have conflicting desires, but it is the decision out of them that is important. I don’t want sunburn. I stay inside. Trouble arises when I prefer staying in to sunbathing, sunbathing to short exposure and short exposure to staying in. These are inconsistent preferences and in combination, are irrational. Isolated, they are defensible. Decision theory:

You have a utility function, which assigns real numbers to outcomes, propositions, states or affairs. Ordering Conditions
• (1) If xPy, then not yPx.
• (2) If xPy, then not xIy.
• (3) If xIy, then not xPy, and also not yPx.
• (4) xPy or yPx or xIy, for all relevant outcomes x and y. • (5) If xPy and yPz, then xPz.
• (6) If xPy and xIz, then zPy.
• (7) If xPy and yIz, then xPz.
• (8) If xIy and yIz, then xIz.
Continuity axiom states if you prefer A to B and B to C, there must be a lottery between A and C that has an indifference between that lottery and B. The axioms that do not mention gambles or probabilities are called ordinal and the ones that do mention gambles or probabilities are called cardinal. If axioms are always followed, expected utility will also be maximised. Axioms of decision theory are supposed to be requirements of rationality, because it is plausible to show how a perfectly rational person could fail to satisfy one or another of the axioms.

EXAMPLE:
The continuity axiom states if you prefer A to B and B to C (and thus A to C) there must be some lottery which has exclusive prizes A and C such that you will be indifferent between that lottery and B. Counter: Someone who is risk averse may not like any lotteries. If A = £1, B = 50p and C = 10p, you would prefer A to B to C, but you may prefer 10p to any lottery with...
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