Dr Matthew Egbert
Lecturer, Department of Computer Science, University of Auckland
Associate, Department of Earth and Planetary Sciences, Harvard University
tel: +64 9 923 7027
How can we create life-like artificial intelligence?
To approach this question, I develop and investigate artificial systems and computational models. Often the systems 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 projects link above..