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The Ouroboros Model Embraces Its Sensory-Motoric Foundations And Learns To Talk

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Abstract The Ouroboros Model proposes a brain inspired cognitive architecture including detailed suggestions for the main processing steps in an overall conceptualization of cognition as embodied and embedded computing. All memories are structured into schemata, which are firmly grounded in the body of an actor. A cyclic and iterative data-acquisition and -processing loop forms the backbone of all cognitive activity. Ever more sophisticated schemata are built up incrementally from the wide combination of neural activity, concurrent at the point in time when the memory is established; i.e., distinct representations are accrued. Later on, an entire schema can be reinstated from diverse subsets of its constituent features. In order to decode or compile ever more elaborate constructions, extant building blocks are concatenated. They are serially linked via common or “connection-attributes” of different representations and symbols, and they are employed for serial perception, processing and action, in particular, also for language production. At various levels, commonalities between different schemata lead to a similar preferred use of their respective tokens and subsequently shared categorizations. Rules, for the concatenation of words, akin to the ones governing chemical reactions, can be abstracted. As special kinds of symbols, words and word-classes along with the whole grammar of a language can thus be seen as a direct consequence of the processes outlined in the Ouroboros Model. Strong emphasis is put on the dimension of time over short intervals during active experience and performance, and, in particular, during interactions with other agents.
Title: The Ouroboros Model Embraces Its Sensory-Motoric Foundations And Learns To Talk
Description:
Abstract The Ouroboros Model proposes a brain inspired cognitive architecture including detailed suggestions for the main processing steps in an overall conceptualization of cognition as embodied and embedded computing.
All memories are structured into schemata, which are firmly grounded in the body of an actor.
A cyclic and iterative data-acquisition and -processing loop forms the backbone of all cognitive activity.
Ever more sophisticated schemata are built up incrementally from the wide combination of neural activity, concurrent at the point in time when the memory is established; i.
e.
, distinct representations are accrued.
Later on, an entire schema can be reinstated from diverse subsets of its constituent features.
In order to decode or compile ever more elaborate constructions, extant building blocks are concatenated.
They are serially linked via common or “connection-attributes” of different representations and symbols, and they are employed for serial perception, processing and action, in particular, also for language production.
At various levels, commonalities between different schemata lead to a similar preferred use of their respective tokens and subsequently shared categorizations.
Rules, for the concatenation of words, akin to the ones governing chemical reactions, can be abstracted.
As special kinds of symbols, words and word-classes along with the whole grammar of a language can thus be seen as a direct consequence of the processes outlined in the Ouroboros Model.
Strong emphasis is put on the dimension of time over short intervals during active experience and performance, and, in particular, during interactions with other agents.

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