Biography

I am Lecturer in Evolutionary Systems in the School of Computing and Mathematics, Keele University, and a member of the Keele Evolutionary Systems Research Group. My primary research interests can be broadly described as Social Learning and Cultural Evolution in Artificial Evolutionary Systems. Before moving to Keele in 2009 to begin my PhD (under the supervision of Dr. Alastair Channon) and Teaching Fellowship, I studied for a BSc in Artificial Intelligence and Computer Science and a MSc in Advance Computer Science at the University of Birmingham.

Research and scholarship

My main research interests fall into three categories:

  • Social and Cultural Evolution
  • Artificial Life
  • (Neuro)evolutionary Robotics

The primary goal of my research is to produce artificial evolutionary and evolutionary robotic systems that demonstrate emergent social and cultural properties, resulting in adaptive social and cultural behaviour in artificial agents. I also hope to be in a position to comment on the necessary evolutionary pressures and evolved mechanisms that have lead to social and cultural behaviour.  

My other research interests are evolutionary computation, neural networks, intelligent creative design, nature inspire design and optimization, and intelligence and learning. The interdisciplinary nature of my research has also led me to develop an interest in a number of fields from the social and natural sciences including neuroscience, cognitive science, philosophy, ethology, psychology, anthropology, archeology and behavioural sciences. 

I am currently a member of Keele's Evolutionary Systems research group, the International Society for Artificial Life (ISAL), and the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB). I have also been a programme committee member for a number of recent Artificial Life conferences, and have reviewed for a number of Artificial Life journals and conferences. I have organised a number of workshops on Social Learning and Cultural Evolution, and always interested in hearing from potential PhD students who are interested in social learning, cultural evolution, and social behaviour in artificial evolution systems.

Teaching

  • CSC-10025: Cybercrime
  • CSC-10056 - Communication, Confidence and Competence
  • CSC-20043: Computational and Artificial Intelligence I

If you would like to do a final year project with me in the areas of artificial evolutionary systems, natural computation, or computational intelligence, please email me.

Further information

https://sites.google.com/view/jamesmborg/home

Selected Publications

  • Borg JM and Channon A. 2020. The Effect of Social Information Use Without Learning on the Evolution of Social Behavior. Artif Life, 431-454, vol. 26(4). link> doi> full text>
  • Borg J, Brooks N, Powers S. 2020. A mechanism to promote social behaviour in household load balancing. Artificial Life. Massachusetts Institute of Technology Press (MIT Press). doi> link> full text>
  • Borg J, Grove M, Polack F. 2020. Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems. Artificial Life. Massachusetts Institute of Technology Press (MIT Press). link> doi> full text>
  • Borg JM. 2018. The emergence and utility of social behaviour and social learning in artificial evolutionary systems. link>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. Artif Life, 5-9, vol. 24(1). link> doi> full text>

Full Publications Listshow

Journal Articles

  • Borg JM and Channon A. 2020. The Effect of Social Information Use Without Learning on the Evolution of Social Behavior. Artif Life, 431-454, vol. 26(4). link> doi> full text>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. Artif Life, 5-9, vol. 24(1). link> doi> full text>

Other

  • Borg J, Brooks N, Powers S. 2020. A mechanism to promote social behaviour in household load balancing. Artificial Life. Massachusetts Institute of Technology Press (MIT Press). doi> link> full text>
  • Borg J, Grove M, Polack F. 2020. Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems. Artificial Life. Massachusetts Institute of Technology Press (MIT Press). link> doi> full text>
  • Borg JM. 2018. The emergence and utility of social behaviour and social learning in artificial evolutionary systems. link>
  • Borg JM and Channon A. 2017. Evolutionary Adaptation to Social Information Use Without Learning. APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2017, PT I (pp. 837-852, vol. 10199). link> doi> full text>
  • Jolley BP, Borg JM, Channon A. 2016. Analysis of Social Learning Strategies When Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution. FROM ANIMALS TO ANIMATS 14 (pp. 293-304, vol. 9825). link> doi> full text>
  • Borg J and Channon AD. 2012. Testing the Variability Selection Hypothesis: The Adoption of Social Learning in Increasingly Variable Environments. MIT Press. doi> full text>
  • Borg JM, Channon A, Day C. 2011. Discovering and maintaining behaviours inaccessible to incremental genetic evolution through transcription errors and cultural transmission. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo & R. Doursat (Eds.). Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems (pp. 101-108). Heidelberg: MIT Press. doi> full text>

Research themes

Evolutionary Systems

Athena Swan