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Investigating intertemporal choice through experimental evolutionary robotics

机译:通过实验进化机器人研究跨期选择

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In intertemporal choices, subjects face a trade-off between value and delay: achieving the most valuable outcome requires a longer time, whereas the immediately available option is objectively poorer. Intertemporal choices are ubiquitous, and comparative studies reveal commonalities and differences across species: all species devalue future rewards as a function of delay (delay aversion), yet there is a lot of inter-specific variance in how rapidly such devaluation occurs. These differences are often interpreted in terms of ecological rationality, as depending on environmental factors (e.g., feeding ecology) and the physiological and morphological constraints of different species (e.g., metabolic rate). Evolutionary hypotheses, however, are hard to verify in vivo, since it is difficult to observe precisely enough real environments, not to mention ancestral ones. In this paper, we discuss the viability of an approach based on evolutionary robotics: in Study 1, we evolve robots without a metabolism in five different ecologies; in Study 2, we evolve metabolic robots (i.e., robots that consume energy over time) in three different ecologies. The intertemporal choices of the robots are analyzed both in their ecology and under laboratory conditions. Results confirm the generality of delay aversion and the usefulness of studying intertemporal choice through experimental evolutionary robotics. (C) 2015 Elsevier B.V. All rights reserved.
机译:在跨期选择中,受试者面临价值和延迟之间的权衡:实现最有价值的结果需要更长的时间,而立即可用的选择是客观较差的。跨空中选择普遍存在,比较研究揭示了物种的共性和差异:所有物种贬值作为延迟函数的未来奖励(延迟厌恶),但在这种贬值迅速发生的情况下存在很多特异性方差。这些差异通常在生态合理性方面被解释,如根据环境因素(例如,喂养生态学)和不同物种的生理和形态学约束(例如,代谢率)。然而,进化假设很难在体内验证,因为很难遵守足够的真实环境,更不用说祖先。在本文中,我们讨论了一种基于进化机器人的方法的可行性:在研究1中,我们在五种不同生态学中没有代谢的机器人发展;在研究2中,我们在三种不同的生态学中发展了代谢机器人(即,在时间上消耗的机器人)。在其生态和实验室条件下,可以分析机器人的跨期选择。结果证实了延迟厌恶的一般性和通过实验进化机器人研究跨期选择的有用性。 (c)2015 Elsevier B.v.保留所有权利。

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