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Temporal discounting (also known as delay discounting, time discounting) [12] is the tendency of people to discount rewards as they approach a temporal horizon in the future or the past (i.e., become so distant in time that they cease to be valuable or to have addictive effects). To put it another way, it is a tendency to give greater value to ...
Preference learning is a subfield of machine learning that focuses on modeling and predicting preferences based on observed preference information. [1] Preference learning typically involves supervised learning using datasets of pairwise preference comparisons, rankings, or other preference information.
Prices can increase over time; Increasing the number of periods can decrease efficiency. Grossman and Perry [4] study sequential bargaining between a buyer and a seller over an item price, where the buyer knows the gains-from-trade but the seller does not. They consider an infinite-turn game with time discounting.
The pragmatic factor usually results in a "pure time preference" factor in the social discount rate, that a pleasurable experience at a certain date is intrinsically more valuable than the exact same experience at a later date, and that the life of a person born sooner has more intrinsic value than the life of a person born later.
In real world situations, "discounting makes sense because of the inherent uncertainty of future payoffs". [55] One study looked at how reward discounting is context specific. [18] By differing the time and space between small and large rewards, they were able to test how these factors affected the decision making in tamarins and marmosets ...
Exponential discounting yields time-consistent preferences. Exponential discounting and, more generally, time-consistent preferences are often assumed in rational choice theory, since they imply that all of a decision-maker's selves will agree with the choices made by each self. Any decision that the individual makes for himself in advance will ...
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In economics, a discount function is used in economic models to describe the weights placed on rewards received at different points in time. For example, if time is discrete and utility is time-separable, with the discount function f(t) having a negative first derivative and with c t (or c(t) in continuous time) defined as consumption at time t, total utility from an infinite stream of ...