Written evidence submitted to the UK Parliamentary Select Committee on Science and Technology Inquiry on Robotics and Artificial Intelligence (2016)
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Winfield, A. F. (2016). Written evidence submitted to the UK Parliamentary Select Committee on Science and Technology Inquiry on Robotics and Artificial Intelligence

This paper was submitted in response to question 4 of the Parliamentary Science and Technology Committee Inquiry on Robotics and Artificial Intelligence* on: 'The social, legal and ethical issues raised by developments in robotics and artificial inte... Read More about Written evidence submitted to the UK Parliamentary Select Committee on Science and Technology Inquiry on Robotics and Artificial Intelligence.

Parallel data mining-case study (2010)
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Tekiner, F., Pettipher, M., Bull, L., Studley, M., Whittley, I., & Bagnall, T. (2010). Parallel data mining-case study

Non-linear media based computers: chemical and neuronal networks through machine learning (2008)
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Bull, L., Adamatzky, A., de Lacy Costello, B., Husbands, P., O’Shea, M., Purcell, W., & Taylor, A. (2008). Non-linear media based computers: chemical and neuronal networks through machine learning

There is growing interest in research into the development of hybrid wetware-silicon devices focused on exploiting their potential for 'non-linear computing'. The aim is to harness the as yet only partially understood intricate dynamics of non-linear... Read More about Non-linear media based computers: chemical and neuronal networks through machine learning.

ZCS and TCS learning classifier system controllers on real robots (2002)
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Hurst, J., Bull, L., & Melhuish, C. (2002). ZCS and TCS learning classifier system controllers on real robots

A new interaction force decomposition maximizing compensating forces under physical work constraints
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Schmidts, A. M., Schneider, M., & Peer, A. (2013). A new interaction force decomposition maximizing compensating forces under physical work constraints

Decomposition of interaction forces in manipulation tasks has a long research tradition. Interaction forces are often split into robustness-reflective and accelerating forces. While this decomposition is typically performed for the synthesis of inter... Read More about A new interaction force decomposition maximizing compensating forces under physical work constraints.