An Artificial Intelligence Model that Combines Spatial and Temporal Perception

DOI

10.2991/agi.2010.38How to use a DOI?

Abstract

This paper proposes a continuous-time machine learning model that learns the chronological relationships and the intervals between events, stores and organises the learnt knowledge in different levels of abstraction in a network, and makes predictions about future events. The acquired knowledge is represented in a categorisation-like manner, in which events are categorised into categories of different levels. This inherently facilitates the categorisation of static items and leads to a general approach to both spatial and temporal perception. The paper presents the approach and a demonstration showing how it works.

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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TY  - CONF
AU  - Jianglong Nan
AU  - Fintan Costello
PY  - 2010/06
DA  - 2010/06
TI  - An Artificial Intelligence Model that Combines Spatial and Temporal Perception
BT  - Proceedings of the 3d Conference on Artificial General Intelligence (2010)
PB  - Atlantis Press
SP  - 176
EP  - 181
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2010.38
DO  - 10.2991/agi.2010.38
ID  - Nan2010/06
ER  -