To: | Hassan Aït-Kaci <hak@xxxxxxx>, "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx> |
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From: | Gary Berg-Cross <gbergcross@xxxxxxxxx> |
Date: | Wed, 4 Sep 2013 10:11:45 -0400 |
Message-id: | <CAMhe4f05xDRYzJDXtt8zs-5cJyQiRtyN6JABAsdFiGhuPwfhzg@xxxxxxxxxxxxxx> |
Anticipation seems like an important cognitive component and support an infant’s drive for sensorimotor control. A study by Schlesinger et al (2000) suggests that control is neither natively wired nor the result of exhaustive trial and error learning. There is just too much going on for naive trial and error to work and hard wiring isn’t flexible enough. So an alternate idea is that it is driven by the generation of “exploratory” movements constrained by the interaction of ability and environment and refined by test against expectations. Exploration is followed by the selection and maintenance of adaptive movement patterns that advance cognitive development.
In a previous posting on this topic I mentioned the autonomous robotic work of Blank et al (2005) work. They posit an early 3 part cognitive-motivational architecture that uses anticipation and abstraction that is driven by self motivating curiosity and release from boredom. Abstraction helps simplify and handle the floor or raw perception. The anticipation mechanism involves the use of “self predicting” device with increasing control over a developing agent’s behavior. In their robot simulations of the anticipation mechanism they employ simple recurrent networks which is trained to predict its own output error as well as its own internal hidden representations as it learns to solve a task.
D. Blank, D. Kumar, L. Meeden, and J. Marshall, 2005. “Bringing up robot: fundamental mechanisms for creating a self-motivated, self-organizing architecture. Cybernetics and Systems, 36(2), 125-150. Gary Berg-Cross, Ph.D.
NSF INTEROP Project
SOCoP Executive Secretary Knowledge Strategies Potomac, MD
240-426-0770 On Wed, Sep 4, 2013 at 9:34 AM, Hassan Aït-Kaci <hassanaitkaci@xxxxxxxxx> wrote:
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