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dc.contributor.authorFrancisco Zapataen_US
dc.contributor.authorOlga Koshelevaen_US
dc.contributor.authorVladik Kreinovichen_US
dc.contributor.authorThongchai Dumrongpokaphanen_US
dc.date.accessioned2018-09-05T04:26:26Z-
dc.date.available2018-09-05T04:26:26Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85044004169en_US
dc.identifier.other10.1007/978-3-319-75429-1_3en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044004169&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58578-
dc.description.abstract© 2018, Springer International Publishing AG, part of Springer Nature. At first glance, it seems to make sense to conclude that when a 1 dollar reward tomorrow is equivalent to a D< 1 dollar reward today, the day-after-tomorrow’s 1 dollar reward would be equivalent to D· D= D2dollars today, and, in general, a reward after time t is equivalent to D(t) = Dtdollars today. This exponential discounting function D(t) was indeed proposed by the economists, but it does not reflect the actual human behavior. Indeed, according to this formula, the effect of distant future events is negligible, and thus, it would be reasonable for a person to take on huge loans or get engaged in unhealthy behavior even when the long-term consequences will be disastrous. In real life, few people behave like that, since the actual empirical discounting function is different: it is hyperbolic D(t) = 1/ (1 + k· t). In this paper, we use symmetry ideas to explain this empirical phenomenon.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleDo It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideasen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume10758 LNAIen_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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