• DocumentCode
    2006523
  • Title

    A theoretical approach to animal´s impulsive preference: Impulsive choice behavior is interpreteded as a result of reward-maximization failure

  • Author

    Yamaguchi, Yoshio ; Sakai, Yoshiki

  • Author_Institution
    Grad. Sch. of Brain Sci., Tamagawa Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    1182
  • Lastpage
    1185
  • Abstract
    Humans and other animals often prefer small, short-delayed rewards to large, long-delayed rewards. A standard interpretation is that such impulsive preference might originate in the subjective reward value that is temporally discounted. Although this interpretation is consistent with animal´s impulsive choice behavior observed in many studies, the biological significance remains unclear. Another interpretation is that impulsive preference might originate in reward-maximization failure while animals might attempt to maximize the physical amount of reward. We introduced a synaptic learning rule for reward-maximization to simulate in a standard inter-temporal choice task for non-human animals. As a result, on the assumption that animals do not discriminate the states after one choice from that after another, a synaptic learning rule with long-tailed eligibility traces reproduced animals´ impulsive preference.
  • Keywords
    biology computing; learning (artificial intelligence); neurophysiology; psychology; zoology; animal impulsive choice behavior; animal impulsive preference; nonhuman animal; reward maximization failure; standard intertemporal choice task simulation; synaptic learning rule; impulsive preference; reinforcemment learning; synaptic learning; temporal discount;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505271
  • Filename
    6505271