XCS's Strength-Based Twin: Part I

نویسنده

  • Tim Kovacs
چکیده

Wilson's XCS has rapidly become the most popular classier system of all time, and is a major focus of current research. XCS's primary distinguishing feature is that it bases rule tness on the accuracy with which rules predict reward, rather than the magnitude of the reward predicted (as traditional, strength-based systems do). XCS is a complex system and di ers from other systems in a number of ways. In order to isolate the source of XCS's adaptive power, and, in particular to study the di erence between strength and accuracy-based tness, we introduce a system called Strength-Based XCS (SB{XCS), which is as similar to the accuracy-based XCS as we could make it, apart from being strength-based. This work provides a speci cation of SB{XCS and initial results for it and XCS on the 6 multiplexer and woods2 tasks. It then analyses the solutions found by the two systems and nds that each prefers a particular type of solution. A sequel paper provides further analysis.

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تاریخ انتشار 2002