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Robert Nozick (1969) presented a dilemma for decision theory.
Adam Elga (2001, 2004) has extensively investigated the consequences of Lewis's approach for decision theory.
The trade-off and value function graphs point to the idea of information processing as the discrimination among possibilities, in alignment with Shannon's initial definition of information [67], and modern frameworks for decision theory [1], [75].
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The presence of an exposure duration effect for centrally presented faces casts doubt on the necessity of the eye movement in this decision making process and has implications for decision theories that place an emphasis on the role of eye movements in decision making.
His specialist field is the cognitive aspects of addiction and the application of decision theory for understanding the onset, maintenance and offset of addictive behaviours.
Instead of automatically using Youden's index or the odds ratio, test developers should explicitly make use of decision theory for setting thresholds.
Methods for generating health preferences are based on the development of decision theory.
We present strategies for automatically explaining decisions based on Multiattribute Value Theory, the branch of decision theory that addresses tradeoffs among multiple competing objectives.
Richard Jeffrey ([1965] 1983) presented a representation theorem for evidential decision theory, using its formula for expected utility.
Brad Armendt (1986, 1988a) presented a representation theorem for causal decision theory, using its formula for expected utility.
Joyce (2000: S11) also articulates for causal decision theory a partition-invariant formula for an act's expected utility.
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