A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
It is well known that, in one form or another, the variational Principle of Least Action (PLA) governs Nature. Although traditionally referred to explain physical phenomena, PLA has also been used to account for biological phenomena and even natural selection. However, its value in studying psychological processes has not been fully explored. In this paper we present a computational model, value-gradient learning, based on Pontryagin's Minimum Principle (a version of PLA used in optimaldoi:10.1037/e557102013-062 fatcat:p4mw24dxzbhenky3isbba2ffru