Evolution of thinking models in automatic incident processing systems

dc.contributor.author	Toschev A.
dc.contributor.author	Talanov M.
dc.contributor.author	Distefano S.
dc.date.accessioned	2018-09-19T23:10:26Z
dc.date.available	2018-09-19T23:10:26Z
dc.date.issued	2016
dc.identifier.issn	2190-3018
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/146001
dc.description.abstract	© Springer International Publishing Switzerland 2016.In this paper we describe the evolution of the application of thinking models in automatically processing a user’s incidents in natural language, starting with the model based on decision trees and ends up finishing with the human thinking model. Every model has been developed, prototyped and tested. The article contains experiments results and conclusions for every model. After evolving several theories, we found the most suitable for solving the problem of automatically processing a users incidents.
dc.relation.ispartofseries	Smart Innovation, Systems and Technologies
dc.subject	Artificial intelligence
dc.subject	Automation
dc.subject	Intelligent agents
dc.subject	Knowledge base
dc.subject	Machine understanding
dc.subject	NLP
dc.subject	Reasoning
dc.subject	Remote infrastructure management
dc.title	Evolution of thinking models in automatic incident processing systems
dc.type	Conference Paper
dc.relation.ispartofseries-volume	58
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	271
dc.source.id	SCOPUS21903018-2016-58-SID84979026147

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.