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
Link To Document :
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