Description

Title Intuitive Action Set Formation in Learning Classifier Systems with Memory Registers
Abstract An important design goal in Learning Classifier Systems (LCS) is to equally reinforce those classifiers which cause the level of reward supplied by the environment. In this paper, we propose a new method for action set formation in LCS. When applied to a Zeroth Level Classifier System with Memory registers (ZCSM), our method allows the distribution of rewards among classifiers which result in the same memory state, rather than those encoding the same memory update action.

Other presentations by Martijn Schut

DateTitle
26 February 2007
08 October 2007
26 May 2008 Intuitive Action Set Formation in Learning Classifier Systems with Memory Registers
21 September 2009 ON AGENT MODELLING AND SYSTEM SIMULATION OF SELF-ORGANISATION
17 January 2011 Self-Awareness in Autonomic Systems