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Introducing intents to the OODA-loop
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0396-1993
Ericsson AB, SWE.
2019 (English)In: Procedia Computer Science / [ed] Rudas, IJ; Janos, C; Toro, C; Botzheim, J; Howlett, RJ; Jain, LC, Elsevier B.V. , 2019, Vol. 159, p. 878-883Conference paper, Published paper (Refereed)
Abstract [en]

Together with Ericsson AB, we are using the design science framework when investigating how to create an intent-driven system for their business support system and its business studio. The aim is to present our initial results on how an extended OODA-loop can be used to realize a robust, but still flexible, software architecture for an intent-driven system. We explain how an extended OODA-loop is constructed and provide suggestions of how different part of it can be implemented. The initial results are promising but further research is needed to use the extended OODA-loop as reusable components in intent-driven systems. Our next step is to extend the generic methods with knowledge representation and reasoning capabilities. © 2019 The Author(s). Published by Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier B.V. , 2019. Vol. 159, p. 878-883
Series
Procedia Computer Science, ISSN 1877-0509
Keywords [en]
Business Support System, Extended OODA-loop, Intent-driven system, Knowledge representation, Business support systems, Design science, Driven system, Ericsson, Generic method, Knowledge representation and reasoning, OODA loop, Reusable components, Knowledge based systems
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-19056DOI: 10.1016/j.procs.2019.09.247ISI: 000571151500090Scopus ID: 2-s2.0-85076256382OAI: oai:DiVA.org:bth-19056DiVA, id: diva2:1381702
Conference
23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES, Budapest, 4 September 2019 through 6 September 2019
Note

open access

Available from: 2019-12-27 Created: 2019-12-27 Last updated: 2021-12-21Bibliographically approved
In thesis
1. Towards Intent-Driven Systems Based on Context Frames
Open this publication in new window or tab >>Towards Intent-Driven Systems Based on Context Frames
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this research project we investigate how machine actors can support the business intents (desired outcomes) of an enterprise via predictive execution flows, prescriptive execution flows, and bidirectional knowledge creation between human actors and machine actors. A context frame supports bidirectional knowledge creation via interventions and counterfactual analysis. An intent-driven system combines execution flows to obtain business intents, and a context frame is a component in these flows. 

Our aim is to develop theoretical frameworks supporting intent-driven systems and context frames, and to validate the components needed to realize such frame- works. 

We are using the design science framework as our research framework. During our design science study we have used the following research methods: systematic literature review, case study, quasi experiment, action research, and evaluation research. 

We have created theoretical frameworks supporting intent-driven systems, and context frames, and implemented needed functionality in the involved components. The framework supports knowledge creation and knowledge validation. The possibility of using the knowledge for predictive analysis, prescriptive analysis, and counterfactual analysis, makes it possible to obtain bidirectional knowledge creation between a human actor and a machine actor. This enables a context frame to be part of an intent-driven system which supports predictive, and prescriptive, executions flows. 

The produced artifacts provide answers to our research questions. These answers are a base for theoretical frameworks supporting intent-driven systems and context frames, and provide knowledge of how to construct the components needed to realize these frameworks. 

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2021. p. 50
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2021:08
Keywords
business intent, knowledge creation, decision making, rule adherence, OODA-loop, causal models
National Category
Software Engineering
Research subject
Software Engineering
Identifiers
urn:nbn:se:bth-22178 (URN)978-91-7295-430-4 (ISBN)
Public defence
2021-12-10, J1630 + Zoom, Campus Gräsvik, Karlskrona, 09:30 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2021-10-08 Created: 2021-10-07 Last updated: 2021-11-23Bibliographically approved

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Silvander, Johan

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