All Outputs (279)
Comparing learning classifier systems for continuous-valued online environments (2003)
Journal Article
We investigate Learning Classifier Systems for online environments that consist of real-valued states and which require every action made by the agent to count towards its performance. Two Learning Classifier System architectures are considered, ZCS... Read More about Comparing learning classifier systems for continuous-valued online environments.
Towards learning classifier systems for continuous-valued online environments (2003)
Book Chapter
For Real! XCS with Continuous-Valued Inputs (2003)
Journal Article
Many real-world problems are not conveniently expressed using the ternary representation typically used by Learning Classifier Systems and for such problems an interval-based representation is preferable. We analyse two interval-based representations... Read More about For Real! XCS with Continuous-Valued Inputs.
Feature construction and selection using genetic programming and a genetic algorithm (2003)
Presentation / Conference Contribution
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming and a Genetic Algorithm to pre-process data before it is classified usin... Read More about Feature construction and selection using genetic programming and a genetic algorithm.
Addressing policy objectives of traffic control using evolutionary algorithms (2002)
Presentation / Conference Contribution
This paper presents preliminary results from an ongoing research project that is investigating traffic management and signal control of evolutionary algorithms that use machine learning. It describes the application of novel technologies of machine l... Read More about Addressing policy objectives of traffic control using evolutionary algorithms.
Towards the use of XCS in interactive evolutionary design (2002)
Book Chapter
An investigation into island model rule migration for a number of mobile autonomous learning classifier system agents (2002)
Presentation / Conference Contribution
Adaptive traffic control using evolutionary algorithms (2002)
Presentation / Conference Contribution
Lookahead and latent learning in ZCS (2002)
Presentation / Conference Contribution
Learning classifier systems (2002)
Journal Article
On accuracy-based fitness (2002)
Journal Article
I theory-a self-adaptive XCS (2002)
Journal Article
ZCS and TCS learning classifier system controllers on real robots (2002)
Journal Article
To date there has only been one implementation of Holland's Learning Classifier System (LCS) on real robots. In this paper the use of Wilson's ZCS system is described for an obstacle avoidance task. Although the task is simple it does present some ad... Read More about ZCS and TCS learning classifier system controllers on real robots.
GECCO 2002: Proceedings of the genetic and evolutionary computation conference (2002)
Book Chapter
An accuracy based corporate classifier system (2002)
Journal Article
ZCS redux (2002)
Journal Article
Learning classifier systems traditionally use genetic algorithms to facilitate rule discovery, where rule fitness is payoff based. Current research has shifted to the use of accuracy-based fitness. This paper re-examines the use of a particular payof... Read More about ZCS redux.
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.