- Tarek R. Besold
- Kai-Uwe Kuehnberger
- Artur D'Avila Garcez
- Alessandro Saffiotti
- Martin Fischer
- Alan Bundy
Original language | English |
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Title of host publication | Artificial General Intelligence |
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Subtitle of host publication | 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings |
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Publisher | Springer International Publishing |
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Pages | 35-45 |
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Number of pages | 11 |
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ISBN (Electronic) | 978-3-319-21365-1 |
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ISBN (Print) | 978-3-319-21364-4 |
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DOIs | |
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Publication status | Published - 2015 |
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Name | Lecture Notes in Computer Science |
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Volume | 9205 |
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ISSN (Print) | 0302-9743 |
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ISSN (Electronic) | 1611-3349 |
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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, real-world 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, multiagent systems, robotics, and cognitive systems, and can facilitate a deeper understanding of the development and interaction in human-technological settings.
ID: 19713542