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Fuzzy classifier system architectures for mobile robotics: An experimental comparison (2007)
Journal Article
Pipe, A. G., & Carse, B. (2007). Fuzzy classifier system architectures for mobile robotics: An experimental comparison. International Journal of Intelligent Systems, 22(9), 993-1019. https://doi.org/10.1002/int.20235

We present an experimental comparison between two approaches to optimization of the rules for a fuzzy controller. More specifically, the problem is autonomous acquisition of an "investigative" obstacle avoidance competency for a mobile robot. We repo... Read More about Fuzzy classifier system architectures for mobile robotics: An experimental comparison.

Embryonics: A path to artificial life? (2006)
Journal Article
Zhang, X., Dragffy, G., & Pipe, A. G. (2006). Embryonics: A path to artificial life?. Artificial Life, 12(3), 313-332. https://doi.org/10.1162/artl.2006.12.3.313

Electronic systems, no matter how clever and intelligent they are, cannot yet demonstrate the reliability that biological systems can. Perhaps we can learn from these processes, which have developed through millions of years of evolution, in our purs... Read More about Embryonics: A path to artificial life?.

Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems (2005)
Journal Article
Yang, J., Montakhab, M., Pipe, A. G., Carse, B., & Davies, T. S. (2005). Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems. International Journal of Intelligent Information Technologies, 1(2), 1-16. https://doi.org/10.4018/jiit.2005040101

When a fault occurs in a power system, the protective relays detect the fault and trip appropriate circuit breakers, which isolate the affected equipment from the rest of the power system. Fault diagnosis of power systems is the process of identifyin... Read More about Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems.

Convergence synthesis of dynamic frequency modulation tones using an evolution strategy (2005)
Conference Proceeding
Mitchell, T. J., & Pipe, A. G. (2005). Convergence synthesis of dynamic frequency modulation tones using an evolution strategy. In F. Rothlauf, J. Branke, S. Cagnoni, D. Wolfe Corne, R. Drechsler, Y. Jin, …G. Squillero (Eds.), Applications on Evolutionary Computing. , (533-538). https://doi.org/10.1007/978-3-540-32003-6_54

This paper reports on steps that have been taken to enhance previously presented evolutionary sound matching work. In doing so, the convergence characteristics are shown to provide a synthesis method that produces interesting sounds. The method imple... Read More about Convergence synthesis of dynamic frequency modulation tones using an evolution strategy.

Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex (2004)
Journal Article
Mitchinson, B., Gurney, K. N., Redgrave, P., Melhuish, C., Pipe, A. G., Pearson, M., …Prescott, T. J. (2004). Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex. Proceedings of the Royal Society B: Biological Sciences, 271(1556), 2509-2516. https://doi.org/10.1098/rspb.2004.2882

In whiskered animals, activity is evoked in the primary sensory afferent cells (trigeminal nerve) by mechanical stimulation of the whiskers. In some cell populations this activity is correlated well with continuous stimulus parameters such as whisker... Read More about Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex.

Artificial endosymbiosis (1995)
Journal Article
Pipe, A. G., Bull, L., Bull, L., Fogarty, T. C., & Pipe, A. G. (1995). Artificial endosymbiosis. Lecture Notes in Artificial Intelligence, 929, 273-289. https://doi.org/10.1007/3-540-59496-5_305

© Springer-Verlag Berlin Heidelberg 1995. Symbiosis is the phenomenon in which organisms of different species live together in close association, resulting in a raised level of fitness for one or more of the organisms. Endosymbiosis is the name given... Read More about Artificial endosymbiosis.