Huyck, C.; Kreivena, D.

Implementing Rules with Aritificial Neurons

Conference paper

Huyck, C. and Kreivena, D. 2018. Implementing Rules with Aritificial Neurons. AI-2018 38th SGAI International Conference on Artificial Intelligence. Cambridge 11 - 13 Dec 2018 Springer. pp. 21-33 https://doi.org/10.1007/978-3-030-04191-5_2

ISBN
Type	Conference paper
Title	Implementing Rules with Aritificial Neurons
Authors	Huyck, C. and Kreivena, D.
Abstract	Rule based systems are an important class of computer languages. The brain, and more recently neuromorphic systems, is based on neurons. This paper describes a mechanism that converts a rule based system, specified by a user, to spiking neurons. The system can then be run in simulated neurons, producing the same output. The conversion is done making use of binary cell assemblies, and finite state automata. The binary cell assemblies, eventually implemented in neurons, implement the states. The rules are converted to a dictionary of facts, and simple finite state automata. This is then cached out to neurons. The neurons can be simulated on standard simulators, like NEST, or on neuromorphic hardware. Parallelism is a benefit of neural system, and rule based systems can take advantage of this parallelism. It is hoped that this work will support further exploration of parallel neural and rule based systems, and sup
Research Group	Artificial Intelligence group
Conference	AI-2018 38th SGAI International Conference on Artificial Intelligence
Page range	21-33
ISSN	0302-9743
Hardcover	9783030041908
Publisher	Springer
Publication dates
Online	16 Nov 2018
Print	13 Dec 2018
Publication process dates
Deposited	11 Sep 2018
Accepted	01 Sep 2018
Output status	Published
Accepted author manuscript	rulesFinal.pdf
Copyright Statement	The final authenticated version is available online at https://doi.org/10.1007/978-3-030-04191-5_2
Additional information	Paper published as: Huyck C., Kreivenas D. (2018) Implementing Rules with Artificial Neurons. In: Bramer M., Petridis M. (eds) Artificial Intelligence XXXV. SGAI 2018. Lecture Notes in Computer Science, vol 11311. Springer, Cham
Digital Object Identifier (DOI)	https://doi.org/10.1007/978-3-030-04191-5_2
Language	English
Book title	Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings

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