Proceedings of the 3d Conference on Artificial General Intelligence (2010)

Uncertain Spatiotemporal Logic for General Intelligence

Authors
Nil Geisweiller, Ben Goertzel
Corresponding Author
Nil Geisweiller
Available Online June 2010.
DOI
10.2991/agi.2010.36How to use a DOI?
Abstract

Spatiotemporal reasoning is an important skill that an AGI is expected to have, innately or not. Much work has already been done in defining reasoning systems for space, time and spacetime, such as the Region Connection Calculus for space, Allen's Interval Algebra for time, or the Qualitative Trajectory Calculus for motion. However, these reasoning systems rarely take adequate account of uncertainty, which poses an obstacle to using them in an AGI system confronted with an uncertain reality. In this paper we show how to use PLN (Probabilistic Logic Networks) to represent spatiotemporal knowledge and reasoning, via incorporating existing spatiotemporal calculi, and considering a novel extension of standard PLN truth values inspired by P(Z)-logic. This "PLN-ization" of existing spatiotemporal calculi, we suggest, constitutes an approach to spatiotemporal inference suitable for use in AGI systems that incorporate logic-based components.

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3d Conference on Artificial General Intelligence (2010)
Series
Advances in Intelligent Systems Research
Publication Date
June 2010
ISBN
978-90-78677-36-9
ISSN
1951-6851
DOI
10.2991/agi.2010.36How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nil Geisweiller
AU  - Ben Goertzel
PY  - 2010/06
DA  - 2010/06
TI  - Uncertain Spatiotemporal Logic for General Intelligence
BT  - Proceedings of the 3d Conference on Artificial General Intelligence (2010)
PB  - Atlantis Press
SP  - 168
EP  - 169
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2010.36
DO  - 10.2991/agi.2010.36
ID  - Geisweiller2010/06
ER  -