How XCS Evolves Accurate Classi ers

نویسندگان

  • Martin V. Butz
  • Tim Kovacs
  • Pier Luca Lanzi
  • Stewart W. Wilson
چکیده

Due to the accuracy based tness approach, the ultimate goal for XCS is the evolution of a compact, complete, and accurate payo mapping of an environment. This paper investigates what causes the XCS classi er system to evolve accurate classi ers. The investigation leads to two challenges for XCS, the covering challenge and the schema challenge. Both challenges are revealed theoretically and experimentally. Furthermore, the paper provides suggestions for overcoming the challenges as well as investigates environmental properties that can help XCS to overcome the challenges autonomously. Along those lines, a deeper insight into how to set the initial parameter values in XCS is provided.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evolving Optimal Populations with XCS Classi er Systems

This work investigates some uses of self-monitoring in classi er systems (CS) using Wilson's recent XCS system as a framework. XCS is a signi cant advance in classi er systems technology which shifts the basis of tness evaluation for the Genetic Algorithm (GA) from the strength of payo prediction to the accuracy of payo prediction. Initial work consisted of implementing an XCS system in Pop11 a...

متن کامل

Solving Problems in Partially Observable Environments with Classiier Systems (experiments on Adding Memory to Xcs) Solving Problems in Partially Observable Environments with Classiier Systems (experiments on Adding Memory to Xcs)

XCS is a classi er system recently introduced by Wilson that differs from Holland's framework in that classi er tness is based on the accuracy of the prediction instead of the prediction itself. According to the original proposal, XCS has no internal message list as traditional classi er systems does; hence XCS learns only reactive input/output mappings that are optimal in Markovian environment...

متن کامل

An Implementation of the XCS Classi er System in CMartin

The XCS classiier system was developed by Wilson (1995). The learning mechanism is based on the accuracy of its reward prediction. This method leads to the formation of accurate most general classiiers. This paper explains how to download, compile and use the XCS code version 1.0 written in ANSI C. It discusses how to select various parameter settings, how to add and remove certain procedures i...

متن کامل

Xcs Classiier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions. Technical Report Version

This paper extends the work presented in (Kovacs, 1996) on evolving optimal solutions to boolean reinforcement learning problems using Wilson's recent XCS classiier system. XCS forms complete mappings of the payoo environment in the reinforcement learning tradition thanks to its accuracy based tness, which, according to Wilson's Generalization Hypothesis, also gives XCS a tendency towards accur...

متن کامل

Boosting Classiiers Regionally

Richard Maclin Computer Science Department University of Minnesota-Duluth Duluth, MN 55812 email: [email protected] Abstract This paper presents a new algorithm for Boosting the performance of an ensemble of classi ers. In Boosting, a series of classi ers is used to predict the class of data where later members of the series concentrate on training data that is incorrectly predicted by earlier ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001