Electronics and Computer Science (ECS), University of Southampton

Electronics and Computer Science (ECS)

Dr Richard A. Watson

Photograph of Dr Richard A. Watson
http://widgets.ecs.soton.ac.uk/image.php?id=person_6310&maxw=250&maxh=300&corners=0&edge=1&checksum=b7ea1fb055b204b2183b695982bb486ePhotograph of Dr Richard A. Watson
Dr Richard A. Watson

ECS, Faculty of Physical Sciences and Engineering
University of Southampton
Southampton, United Kingdom. SO17 1BJ

Position: Academic staff in Agents, Interaction and Complexity
Extension: 22690
Telephone: Work (Voice): +44 (0)23 8059 2690
Fax: Work (Fax): + 44 (0) 23 8059 2865
Email: R.A.Watson@soton.ac.uk
Homepage: http://www.ecs.soton.ac.uk/~raw/
URI: http://id.ecs.soton.ac.uk/person/6310 [browse]

Additional Contact Details

Location: Bld 32, Rm. 4043 

Postal address: 
School of Electronics and Computer Science
University of Southampton, Highfield
Southampton, SO17 1BJ - U.K.

Interests: algorithmic biology, coevolution, collective intelligence, complex adaptive systems, connectionism, deep evolution, deep learning, deep optimisation, dynamical systems, ecological modelling, epigenetics, evo-devo, evo-eco, evo-ego, evolution, evolution of cooperation, evolutionary algorithms, evolutionary biology, evolutionary developmental biology, evolutionary ecology, evolutionary game theory, evolutionary individuality, evolvability, genetic algorithms, hopfield networks, learning, levels of selection, major evolutionary transitions, microbial communities, model-building optimisation, modularity, multi-objective optimisation, network science, networks, neural networks, niche construction, optimisation, pareto coevolution, population genetics, sexual recombination, social evolution, social niche construction, symbiosis


Publications in Google Scholar

News: "How Can Evolution Learn" - free open access pdf available here

Watson, R.A. & Szathmary, E (2016) "How Can Evolution Learn" Trends in Ecology and Evolution, 31 (2016), pp. 147-157 (DOI: 10.1016/j.tree.2015.11.009)

Richard A. Watson is an associate professor in the Agents, Interaction and Complexity research group at the University of Southampton's School of Electronics and Computer Science, and a member of the Institute for Life Science, Southampton. He received his BA in Artificial Intelligence from the University of Sussex in 1990 and then worked in industry for five years. Returning to academia, he chose Sussex again for an MSc in Evolutionary and Adaptive Systems, where he was introduced to evolutionary modeling. His PhD in computer science at Brandeis University (2002) resulted in 22 publications and a dissertation addressing the algorithmic concepts underlying the major transitions in evolution. A postdoctoral position at Harvard University's Department of Organismic and Evolutionary Biology provided training to complement his computer science background. He now has over 100 publications on topics spanning evolutionary biology, evolutionary computation, population genetics, neural networks and computational biology. He is the author of Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution (MIT Press, 2006). 


Programme leader MSc Artificial Intelligence


PhD "Compositional Evolution" Brandeis University 2002
MSc "Knowledge Based Systems" Sussex University 1996
BA "Computing with Artificial Intelligence" Sussex University 1990

ECS staff options: Edit this page | See intranet page