Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence

Ahmad Wahab, Khaled Mahbub, Abdel-Rahman Tawil

Abstract

Current research in the area of concept learning makes use of deep learning and ensembles methods to learn concepts. Concept learning allows us to combine heterogeneous entities in data which could collectively identify as individual concepts. Heterogeneity and compositionality are crucial areas to explore in machine learning as it has the potential to contribute profoundly to artificial general intelligence. We investigate the use of spiking neural networks for concept learning. Spiking neurones inclusively model the temporal properties as observed in biological neurones. A benefit of spike-based neurones allows for localised learning rules that only adapts connections between relevant neurones. In this position paper, we propose a technique allowing dynamic formation of synapse (connections) in spiking neural networks, the basis of structural plasticity. Achieving dynamic formation of synapse allows for a unique approach to concept learning with a malleable neural structure. We call this technique Neurosymbolic Spike-Concept Learner (NS-SCL). The limitations of NS-SCL can be overcome with the neuromorphic computing paradigm. Furthermore, introducing NS-SCL as a technique on neuromorphic platforms should motivate a new direction of research towards Neuromorphic General Intelligence (NGI), a term we define to some extent.

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Paper Citation


in Harvard Style

Wahab A., Mahbub K. and Tawil A. (2021). Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 1168-1176. DOI: 10.5220/0010339911681176


in Bibtex Style

@conference{icaart21,
author={Ahmad Wahab and Khaled Mahbub and Abdel-Rahman Tawil},
title={Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={1168-1176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010339911681176},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence
SN - 978-989-758-484-8
AU - Wahab A.
AU - Mahbub K.
AU - Tawil A.
PY - 2021
SP - 1168
EP - 1176
DO - 10.5220/0010339911681176