discounting;
time preference;
reproduction;
ageing;
D O I:
10.1098/rspb.2003.2344
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Discounting occurs when an immediate benefit is systematically valued more highly than a delayed benefit of the same magnitude. It is manifested in physiological and behavioural strategies of organisms. This study brings together life-history theory and time-preference theory within a single modelling framework. We consider an animal encountering reproductive opportunities as a random process. Under an external hazard, optimal life-history strategy typically prioritizes immediate reproduction at the cost of declining fertility and increasing mortality with age. Given such ageing, an immediate reproductive reward should be preferred to a delayed reward because of both the risk of death and declining fertility. By this analysis, ageing is both a consequence of discounting by the body and a cause of behavioural discounting. A series of models is developed, making different assumptions about external hazards and biological ageing. With realistic ageing assumptions (increasing mortality and an accelerating rate of fertility decline) the time-preference rate increases in old age. Under an uncertain external hazard rate, young adults should also have relatively high time-preference rates because their (Bayesian) estimate of the external hazard is high. Middle-aged animals may therefore be the most long term in their outlook.
机构:
Georgia State Univ, Andrew Young Sch Policy Studies, Atlanta, GA 30303 USAGeorgia State Univ, Andrew Young Sch Policy Studies, Atlanta, GA 30303 USA
Zhang, Lei
Rashad, Inas
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机构:
Georgia State Univ, Andrew Young Sch Policy Studies, Atlanta, GA 30303 USAGeorgia State Univ, Andrew Young Sch Policy Studies, Atlanta, GA 30303 USA
机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Liu, Yanan
Tian, Yun
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机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Tian, Yun
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机构:
Xu, Yang
Zhao, Shifeng
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机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Zhao, Shifeng
Huang, Yapei
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机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Huang, Yapei
Fan, Yachun
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机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Fan, Yachun
Duan, Fuqing
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机构:
Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
Duan, Fuqing
Guo, Ping
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机构:
Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R ChinaBeijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China