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The main problem for total utilitarianism is the "mere addition paradox", which argues that a likely outcome of following total utilitarianism is a future where there is a large number of people with very low utility values. Parfit terms this "the repugnant conclusion", believing it to be intuitively undesirable. [4]
Economists distinguish between total utility and marginal utility. Total utility is the utility of an alternative, an entire consumption bundle or situation in life. The rate of change of utility from changing the quantity of one good consumed is termed the marginal utility of that good. Marginal utility therefore measures the slope of the ...
The word utility is used to mean general well-being or happiness, and Mill's view is that utility is the consequence of a good action. Utility, within the context of utilitarianism, refers to people performing actions for social utility. By social utility, he means the well-being of many people.
The utility functions may represent their chance of recovery – () is the probability of agent to recover by getting doses of the medication. The utilitarian rule then allocates the medication in a way that maximizes the expected number of survivors.
Bang for buck is a concept in utility maximization which refers to the consumer's desire to get the best value for their money. If Walras's law has been satisfied, the optimal solution of the consumer lies at the point where the budget line and optimal indifference curve intersect, this is called the tangency condition. [ 3 ]
The marginal utility, or the change in subjective value above the existing level, diminishes as gains increase. [17] As the rate of commodity acquisition increases, the marginal utility decreases. If commodity consumption continues to rise, the marginal utility will eventually reach zero, and the total utility will be at its maximum.
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Suppose that a buyer has value v and bids b. His opponent bids according to the equilibrium bidding strategy. The support of the opponent's bid distribution is [0,B(1)]. Thus any bid of at least B(1) wins with probability 1. Therefore, the best bid b lies in the interval [0,B(1)] and so we can write this bid as b = B(x) where x lies in [0,1].