All Outputs (6)

Is social norms marketing effective?: A case study in domestic electricity consumption (2013)
Journal Article

Purpose: The purpose of this paper is to present details of a large-scale experiment that evaluated the impact of communicating two types of feedback to householders regarding their domestic electricity consumption: feedback on their own consumption... Read More about Is social norms marketing effective?: A case study in domestic electricity consumption.

The distributed co-evolution of an embodied simulator and controller for swarm robot behaviours (2011)
Presentation / Conference Contribution

Embodied fitness assessment of robotic controllers is slow but grounded, while assessment in a simulated environment is fast but can run foul of the ‘reality gap’. We present a distributed co-evolutionary method to adapt the environmental model of an... Read More about The distributed co-evolution of an embodied simulator and controller for swarm robot behaviours.

Using the XCS classifier system for multi-objective reinforcement learning problems (2007)
Journal Article

We investigate the performance of a learning classifier system in some simple multi-objective, multi-step maze problems, using both random and biased action-selection policies for exploration. Results show that the choice of action-selection policy c... Read More about Using the XCS classifier system for multi-objective reinforcement learning problems.

Accuracy-based learning classifier system ensembles with rule-sharing (2007)
Journal Article

Learning Classifier Systems (LCS) are a method of evolving compact rule-sets using reinforcement learning. This paper presents an investigation into exploiting the population-based nature of LCS for their use within highly-parallel systems, such as... Read More about Accuracy-based learning classifier system ensembles with rule-sharing.

Super computer heterogeneous classifier meta-ensembles (2007)
Journal Article

X-TCS: Accuracy-based learning classifier system robotics (2005)
Journal Article

Although most learning classifier system (LCS) research uses the accuracy-based XCS, it had never been used to control a physical robot before. In comparison to purely evolutionary or purely reinforcement learning approaches, an LCS should be faster... Read More about X-TCS: Accuracy-based learning classifier system robotics.