Distinguished Colloquium
Rod Grupen
Professor
University of Massachusetts
Tuesday, February 16, 2010
3147 MEB
Refreshments 12:10 p.m.
Lecture 12:20 p.m.
Title: Computing in the Wild - the Computational Implications of Four Seminal Propositions from Theories in Biomechanics, Neuroscience, Psychology, and Neurology on Cognitive Robotics
Rod Grupen
Professor
University of Massachusetts
Tuesday, February 16, 2010
3147 MEB
Refreshments 12:10 p.m.
Lecture 12:20 p.m.
Title: Computing in the Wild - the Computational Implications of Four Seminal Propositions from Theories in Biomechanics, Neuroscience, Psychology, and Neurology on Cognitive Robotics
Abstract
Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child's? If this were then subjected to an appropriate course of education one would obtain the adult brain.
- A.M. Turing, 1950
To discover principles of development that lead to human-like intelligence, it makes sense to look to human beings for inspiration and to the processes at the root of human development in the infant. In this talk, we will examine a unified computational expression of some of the foundations of human cognition: the insights provided by Nikolai Bernstein concerning human /dexterity/, Pavlov's theories regarding learning and reinforcement, Robert White's speculations on intrinsic motivation and cumulative learning, and Gibson's propositions concerning memory and cognitive organization. There is a significant convergence in these seminal theories. In this talk, I will outline an architecture for "developmental programming" for use with robots and provide a longitudinal example of developmental trajectories.
Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child's? If this were then subjected to an appropriate course of education one would obtain the adult brain.
- A.M. Turing, 1950
To discover principles of development that lead to human-like intelligence, it makes sense to look to human beings for inspiration and to the processes at the root of human development in the infant. In this talk, we will examine a unified computational expression of some of the foundations of human cognition: the insights provided by Nikolai Bernstein concerning human /dexterity/, Pavlov's theories regarding learning and reinforcement, Robert White's speculations on intrinsic motivation and cumulative learning, and Gibson's propositions concerning memory and cognitive organization. There is a significant convergence in these seminal theories. In this talk, I will outline an architecture for "developmental programming" for use with robots and provide a longitudinal example of developmental trajectories.