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Anchoring Knowledge...
Anchoring Knowledge in Interaction : Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition
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- Besold, Tarek R. (author)
- Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany
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- Kuehnberger, Kai-Uwe (author)
- Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany
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- Garcez, Artur d'Avila (author)
- City University London, London, UK
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- Saffiotti, Alessandro, 1960- (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik
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- Fischer, Martin H. (author)
- University of Potsdam, Potsdam, Germany
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- Bundy, Alan (author)
- University of Edinburgh, Edinburgh, UK
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(creator_code:org_t)
- 2015-07-15
- 2015
- English.
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In: Artificial General Intelligence (AGI 2015). - Cham : Springer. - 9783319213651 - 9783319213644 ; , s. 35-45
- Related links:
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https://openaccess.c...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- We outline a proposal for a research program leading to a new paradigm, architectural framework, and prototypical implementation, for the cognitively inspired anchoring of an agent's learning, knowledge formation, and higher reasoning abilities in real-world interactions: Learning through interaction in real-time in a real environment triggers the incremental accumulation and repair of knowledge that leads to the formation of theories at a higher level of abstraction. The transformations at this higher level filter down and inform the learning process as part of a permanent cycle of learning through experience, higher-order deliberation, theory formation and revision.The envisioned framework will provide a precise computational theory, algorithmic descriptions, and an implementation in cyber-physical systems, addressing the lifting of action patterns from the subsymbolic to the symbolic knowledge level, effective methods for theory formation, adaptation, and evolution, the anchoring of knowledge-level objects, realworld interactions and manipulations, and the realization and evaluation of such a system in different scenarios. The expected results can provide new foundations for future agent architectures, multi-agent systems, robotics, and cognitive systems, and can facilitate a deeper understanding of the development and interaction in human-technological settings.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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