To: | "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx> |
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From: | Gary Berg-Cross <gbergcross@xxxxxxxxx> |
Date: | Tue, 3 Sep 2013 15:24:42 -0400 |
Message-id: | <CAMhe4f04F_aQU4RZUyFhrWXcopvXKFU7BzUX-Qm8ZebiV2PuTg@xxxxxxxxxxxxxx> |
The Piagetian idea that high-level, abstract cognitive competences can be grounded & bootstrapped from sensorimotor behavior is an ongoing frame for developmental hypotheses. It may also be worth noting that it serves to frame work within several newly emerging & overlapping research field known variously as “embodied artificial intelligence,” “embodied cognition,” “developmental robotics,” or “epigenetic robotics. Developmental robotics, for example, is an interdisciplinary and empirical field that studies how autonomous, adaptation-oriented robots can learn to acquire behavior & knowledge on their own, strictly through their interactions with the surrounding environment. The field provides some interesting, empirical tests of various Piagetian inspired ideas, for example, of how verbal behavior develops out of sensorimotor schema. Early overviews of the field go back to: Lungarella et al., 2003; Pfeifer and Iida, 2004) Developmental robotics approaches typically start with some small number of built-in mechanisms perhaps a mix of reflexes, motivational drives, & some learning mechanisms such as abstraction). The autonomous robot-agent then is allowed to interact in a real physical environment. In the process the agent “discovers” relations between actions and sensations by this interacton. This learned relational knowledge is used in turn add to the built-in mechanisms and thus reach a first level of cognitive competences . You can see a good version of this idea in operation in (Blank et al’s., 2005)- Bringing up robot: Fundamental mechanisms for creating a self-motivated, self-organizing architecture. Cybernetics and Systems 2005 36 2 125–150.
But it is chicken and egg challenging since we have faint understanding of how innate mechanisms for abstraction, prediction, and self-motivation can be realized in such autonomous systems through interaction with the world including feedback from other intelligent agents – “yes, that is a dog.” Gary Berg-Cross, Ph.D.
NSF INTEROP Project
SOCoP Executive Secretary Knowledge Strategies Potomac, MD
240-426-0770 On Tue, Sep 3, 2013 at 1:44 PM, Aldo Gangemi <gangemi@xxxxxxx> wrote:
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