Collins Conference Room
Seminar
Speaker:
Keyan Ghazi-Zahedi (Max Planck Institute for Mathematics in the Sciences Information; SFI Program Postdoc)

Abstract.  In recent years, it has been shown that the physical properties of a body can perform functions that are normally attributed to the brain. This outsourcing of computation to the morphology has led to the notion of Morphological Computation, which is now a central concept in the field of embodied artificial intelligence. The problem with this notion is that not all physical processes in the body can be considered as computation in the classical sense. Hence, one important question is to determine which processes should be considered as morphological computation and which should be considered as purely physical processes.

The talk is divided into three parts. The first part gives an overview of the different contexts in which the term Morphological Computation is used. In the second part, I will present my current results on quantifying Morphological Computation, with applications to muscle models and soft robotics. In the final section, I will present more recent ideas on how to formally unify the various notions of Morphological Computation.

Purpose:
Research Collaboration
SFI Host:
Jennifer Dunne

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