An accuracy based corporate classifier system
(2002)
Journal Article
Outputs (261)
On using constructivism in neural classifier systems (2002)
Presentation / Conference Contribution
For artificial entities to achieve true autonomy and display complex life-like behaviour they will need to exploit appropriate adaptable learning algorithms. In this sense adaptability implies flexibility guided by the environment at any given time a... Read More about On using constructivism in neural classifier systems.
Consideration of multiple objectives in neural learning classifier systems (2002)
Presentation / Conference Contribution
© Springer-Verlag Berlin Heidelberg 2002. For effective use in a number of problem domains Learning Classifier Systems must be able to manage multiple objectives. This paper explicitly considers the case of developing the controller for a simulated m... Read More about Consideration of multiple objectives in neural learning classifier systems.
Initial modifications to XCS for use in interactive evolutionary design (2002)
Presentation / Conference Contribution
© Springer-Verlag Berlin Heidelberg 2002. Learning classifier systems represent a technique by which various characteristics of a given problem space may be deduced and presented to the user in a readable format. In this paper we present results from... Read More about Initial modifications to XCS for use in interactive evolutionary design.
A self-adaptive XCS (2002)
Presentation / Conference Contribution
Self-adaptation has been used extensively to control parameters in various forms of evolutionary computation. The concept was first introduced with evolutionary strategies and it is now often used to control genetic algorithms. This paper describes t... Read More about A self-adaptive XCS.
TCS learning classifier system controller on a real robot (2002)
Presentation / Conference Contribution
To date there have been few implementation of Holland’s Learning Classifier System (LCS) on real robots. The paper introduces a Temporal Classifier System (TCS), an LCS derived from Wilson’s ZCS. Traditional LCS have the ability to generalise over th... Read More about TCS learning classifier system controller on a real robot.
Simple models of coevolutionary genetic algorithms (2001)
Journal Article
The use of evolutionary computing techniques in coevolutionary/multiagent systems is becoming increasingly popular. This paper presents some simple models of the genetic algorithm in such systems, with the aim of examining the effects of different ty... Read More about Simple models of coevolutionary genetic algorithms.
Coevolving functions in genetic programming (2001)
Journal Article
In this paper we introduce a new approach to the use of automatically defined functions (ADFs) within genetic programming. The technique consists of evolving a number of separate sub-populations of functions which can be used by a population of evolv... Read More about Coevolving functions in genetic programming.
On coevolutionary genetic algorithms (2001)
Journal Article
Simple Markov models of the genetic algorithm in classifier systems: multi-step tasks (2001)
Journal Article
Abstract Michigan-style Classifier Systems use Genetic Algorithms to facilitate rule discovery. This paper presents a simple Markov model of the algorithm in such systems, with the aim of examining the effects of different types of interdependence be... Read More about Simple Markov models of the genetic algorithm in classifier systems: multi-step tasks.