Toward a Self-Learned Smart Contracts

Almasoud, AS; Eljazzar, MM; Hussain, F

Toward a Self-Learned Smart Contracts

Almasoud, AS

Eljazzar, MM Hussain, F

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, 2018, pp. 269 - 273
Issue Date:: 2018-12-27

Closed Access

	Filename	Description	Size
	08592662.pdf	Published version	314.22 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Almasoud, AS https://orcid.org/0000-0002-8197-1348	en_US
dc.contributor.author	Eljazzar, MM	en_US
dc.contributor.author	Hussain, F https://orcid.org/0000-0003-1513-8072	en_US
dc.date.issued	2018-12-27	en_US
dc.identifier.citation	Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, 2018, pp. 269 - 273	en_US
dc.identifier.isbn	9781538679920	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133420
dc.description.abstract	© 2018 IEEE. In recent years, Blockchain technology has been highly valued and disruptive. Several researches have presented a merge between blockchain and current application i.e. Medical, supply chain, and e-commerce. Although Blockchain architecture does not have a standard yet, IBM, MS, AWS offer BaaS (Blockchain as a Service). In addition to the current public chains i.e. Ethereum, NEO, and Cardeno; there are some differences between several public ledgers in terms of development and architecture. This paper introduces the main factors that affect integration of Artificial Intelligence with Blockchain. As well as, how it could be integrated for forecasting and automating; building self-regulated chain.	en_US
dc.relation.ispartof	Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018	en_US
dc.relation.isbasedon	10.1109/ICEBE.2018.00051	en_US
dc.title	Toward a Self-Learned Smart Contracts	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. In recent years, Blockchain technology has been highly valued and disruptive. Several researches have presented a merge between blockchain and current application i.e. Medical, supply chain, and e-commerce. Although Blockchain architecture does not have a standard yet, IBM, MS, AWS offer BaaS (Blockchain as a Service). In addition to the current public chains i.e. Ethereum, NEO, and Cardeno; there are some differences between several public ledgers in terms of development and architecture. This paper introduces the main factors that affect integration of Artificial Intelligence with Blockchain. As well as, how it could be integrated for forecasting and automating; building self-regulated chain.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/133420