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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Performance, robustness and effort cost comparison of machine learning mechanisms in FlatLand

Yannakakis, G. N. and Levine, J. and J. Hallam, J. and Papageorgiou, M. (2003) Performance, robustness and effort cost comparison of machine learning mechanisms in FlatLand. In: 11th IEEE Mediterranean Conference on Control and Automation (MED'03). UNSPECIFIED.

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Abstract

This paper presents the first stage of research into a multi-agent complex environment, called “FlatLand” aiming at emerging complex and adaptive obstacle-avoidance and targetachievement behaviors by use of a variety of learning mechanisms. The presentation includes a detailed description of the FlatLand simulated world, the learning mechanisms used as well as an efficient method for comparing the mechanisms’ performance, robustness and required computational effort.