Literature DB >> 18207301

Is a bird in the hand worth two in the future? The neuroeconomics of intertemporal decision-making.

Tobias Kalenscher1, Cyriel M A Pennartz.   

Abstract

When making intertemporal decisions, i.e., decisions between outcomes occurring at different instants in time, humans and animals prefer rewards with short-term availability over rewards that become available in the long run. Discounted utility theory (DUT) is an influential normative model for intertemporal decisions that attempts to capture preference over time. It prescribes which is the best decision to take with respect to consistent, coherent and optimal choice. Over the last few decades, DUT's descriptive validity has been critically challenged. Empirical studies found systematic violations of several of DUT's assumptions, including time-consistency of preferences, stationarity, constant discounting and utility maximisation. To account for these anomalies, alternative models have been devised in various academic disciplines, including economics, psychology, biology, philosophy, and most lately, cognitive neuroscience. This article reviews the most recent literature on the behavioural and neural processes underlying intertemporal choices, and elucidates to which extent these findings can be used to explain violations of DUT's assumptions. In the first three sections, DUT is introduced, and behavioural anomalies are discussed. The fourth part focuses on the neuroscience of intertemporal choice, including its functional neuroanatomy, attempts to find a discounted value signal in the brain, and recent efforts to identify neural mechanisms producing time-inconsistencies. In the last section, the computational literature on neural learning mechanisms is reviewed. Then, a new, biologically plausible computational model of intertemporal choice is proposed that is able to explain many of the behavioural anomalies. The implications of these results help to understand why humans and animals frequently decide irrationally and to their long-term economic disadvantage, and which neural mechanisms underly such decisions.

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Year:  2007        PMID: 18207301     DOI: 10.1016/j.pneurobio.2007.11.004

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  74 in total

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Authors:  Soyoun Kim; Daeyeol Lee
Journal:  Biol Psychiatry       Date:  2010-08-21       Impact factor: 13.382

Review 2.  The role of moral utility in decision making: an interdisciplinary framework.

Authors:  Philippe N Tobler; Annemarie Kalis; Tobias Kalenscher
Journal:  Cogn Affect Behav Neurosci       Date:  2008-12       Impact factor: 3.282

3.  Adolescent impatience decreases with increased frontostriatal connectivity.

Authors:  Wouter van den Bos; Christian A Rodriguez; Julie B Schweitzer; Samuel M McClure
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-22       Impact factor: 11.205

4.  Dissociating movement from movement timing in the rat primary motor cortex.

Authors:  Eric B Knudsen; Marissa E Powers; Karen A Moxon
Journal:  J Neurosci       Date:  2014-11-19       Impact factor: 6.167

Review 5.  Categorization = decision making + generalization.

Authors:  Carol A Seger; Erik J Peterson
Journal:  Neurosci Biobehav Rev       Date:  2013-03-30       Impact factor: 8.989

6.  Subjective costs drive overly patient foraging strategies in rats on an intertemporal foraging task.

Authors:  Andrew M Wikenheiser; David W Stephens; A David Redish
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

Review 7.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

8.  Social influences of competition on impulsive choices in domestic chicks.

Authors:  Hidetoshi Amita; Ai Kawamori; Toshiya Matsushima
Journal:  Biol Lett       Date:  2009-11-11       Impact factor: 3.703

9.  Neural signatures of intransitive preferences.

Authors:  Tobias Kalenscher; Philippe N Tobler; Willem Huijbers; Sander M Daselaar; Cyriel M A Pennartz
Journal:  Front Hum Neurosci       Date:  2010-06-09       Impact factor: 3.169

10.  Temporal-difference reinforcement learning with distributed representations.

Authors:  Zeb Kurth-Nelson; A David Redish
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

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