Dr Matthew Egbert

Senior Lecturer, School of Computer Science, University of Auckland
Director of Graduate Studies, School of Computer Science, University of Auckland
Principal Investigator, Centre for Computational Evolution, University of Auckland
Chair of Education and Outreach, Board of Directors, International Society for Artificial Life
Associate Editor of Adaptive Behavior

email: mde@matthewegbert.com
tel: +64 9 923 7027


How can we create life-like artificial intelligence?  
To approach this question, I develop and investigate computational models and other artificial systems. Often the artefacts I study include feedback, where output affects input. So instead of studying how sensor input can be processed to produce desired motor output,

I am more interested in situated, embodied and dynamical approaches where the importance of influence of motors upon sensors is also recognized, and behaviour is seen as the result of the feedback dynamics that operate over the whole sensorimotor loop.

This research follows in the traditions of cybernetics and artificial life, and it contributes to the contemporary enactivist, and dynamical approaches to cognition where the brain, body and world of the agent are all involved in complex feedback relationships and each is playing an essential role in the emergence of intelligent behaviour.

One branch of my research in this area considers how sensorimotor behaviours relate to the origins and early evolution of life. What were the first sensors, motors and behaviours? How did these systems evolve, and how did they influence the evolution of life?

Descriptions of some of my current projects can be found by following the research link above.