Phil Husbands

Phil Husbands (born 27 June 1961) is a professor of computer science and artificial intelligence at the University of Sussex. He is head of the Evolutionary and Adaptive Systems group and co-director of the Centre for Computational Neuroscience and Robotics (CCNR).^{[ citation needed ]}

Research

Husbands's research interests are in long-term investigations of artificial evolution of nervous systems for robots, with emphasis on:

• visually guided robots acting in the real world
• theoretical and practical development of advanced evolutionary algorithms for hard engineering and design optimisation problems
• development of biologically inspired artificial neural networks incorporating diffusible modulators
• computational neuroscience
• computer manipulation of sound and image
• history and philosophy of AI
• swarm intelligence
• machine learning.

Husbands has edited several books, including coediting The Mechanical Mind in History (MIT Press; 2008; ISBN   978-0-262-25638-4) and Robots: What everyone needs to know, ^[1] as well as author of numerous scientific articles. With neuroscientist Michael O'Shea he introduced the idea of GasNets  – artificial neural networks that use diffusing virtual gases as modulators. These are inspired by nitric oxide (NO) volume signalling in real brains. The Sussex team has also done pioneering work on detailed computational modelling of nitric oxide diffusion in the nervous system.^{[ citation needed ]}

See also

• List of computer scientists

References

1. "Robots: What everyone needs to know". Oxford University Press. Retrieved 27 April 2025.

External links

• Husband's home page at University of Sussex

• New Scientist article on pioneering evolutionary robotics research by Husbands, Harvey and Cliff
• New Scientist article on Husbands' and O'Shea's introduction of the idea of GasNets