Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications

Luis Hernan Garcia Paucar; Nelly Bencomo

Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications

Luis Hernan Garcia Paucar, Nelly Bencomo

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Dynamic decision-making for self-Adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) -Aka quality properties-And the costsbenefits analysis of the alternative solutions. Usually, it requires the specification of utility preferences for NFRs and decisionmaking strategies. Traditionally, these preferences have been defined at design-Time. In this paper we develop further our ideas on re-Assessment of NFRs preferences given new evidence found at runtime and using dynamic decision networks (DDNs) as the runtime abstractions. Our approach use conditional probabilities provided by DDNs, the concepts of Bayesian surprise and Primitive Cognitive Network Process (P-CNP), for the determination of the initial preferences. Specifically, we present a case study in the domain problem of ambient assisted living (AAL). Based on the collection of runtime evidence, our approach allows the identification of unknown situations at the design stage.

Original language	English
Title of host publication	MRT 2016 - Models@run.time
Subtitle of host publication	Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016)
Editors	Sebastian Götz, Nelly Bencomo, Kirstie Bellman, Gordon Blair
Publisher	CEUR-WS.org
Pages	9-17
Number of pages	9
Publication status	Published - 23 Nov 2016
Event	11th international workshop on Models@run.time / 19th International Conference on Model Driven Engineering Languages and Systems - San Malo, France Duration: 3 Oct 2016 → …

Publication series

Name	CEUR workshop proceedings
Volume	1742
ISSN (Print)	1613-0073

Conference

Conference	11th international workshop on Models@run.time / 19th International Conference on Model Driven Engineering Languages and Systems
Abbreviated title	MRT 2016 / MoDELS 2016
Country/Territory	France
City	San Malo
Period	3/10/16 → …

Bibliographical note

Pauca, LHG & Bencomo, N : Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. Proc. of the 11th International Workshop on Models@run.time, co-located with the 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016), Saint Malo, France, 4 October, ceur-ws.org/Vol-1742/MRT16_paper_12.pdf

Keywords

AHP
decision making
non-functional requirements trade-off
P-CNP
self-adaptation
uncertainty information hypothesis

Access to Document

Runtime models based on dynamic decision networks
Pauca, LHG & Bencomo, N : Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. Proc. of the 11th International Workshop on Models@run.time, co-located with the 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016), Saint Malo, France, 4 October, ceur-ws.org/Vol-1742/MRT16_paper_12.pdf
Final published version, 658 KB

Cite this

Garcia Paucar, L. H., & Bencomo, N. (2016). Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. In S. Götz, N. Bencomo, K. Bellman, & G. Blair (Eds.), MRT 2016 - Models@run.time: Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016) (pp. 9-17). (CEUR workshop proceedings; Vol. 1742). CEUR-WS.org.

Garcia Paucar, Luis Hernan ; Bencomo, Nelly. / Runtime models based on dynamic decision networks : enhancing the decision-making in the domain of ambient assisted living applications. MRT 2016 - Models@run.time: Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016). editor / Sebastian Götz ; Nelly Bencomo ; Kirstie Bellman ; Gordon Blair. CEUR-WS.org, 2016. pp. 9-17 (CEUR workshop proceedings).

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abstract = "Dynamic decision-making for self-Adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) -Aka quality properties-And the costsbenefits analysis of the alternative solutions. Usually, it requires the specification of utility preferences for NFRs and decisionmaking strategies. Traditionally, these preferences have been defined at design-Time. In this paper we develop further our ideas on re-Assessment of NFRs preferences given new evidence found at runtime and using dynamic decision networks (DDNs) as the runtime abstractions. Our approach use conditional probabilities provided by DDNs, the concepts of Bayesian surprise and Primitive Cognitive Network Process (P-CNP), for the determination of the initial preferences. Specifically, we present a case study in the domain problem of ambient assisted living (AAL). Based on the collection of runtime evidence, our approach allows the identification of unknown situations at the design stage.",

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Garcia Paucar, LH & Bencomo, N 2016, Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. in S Götz, N Bencomo, K Bellman & G Blair (eds), MRT 2016 - Models@run.time: Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016). CEUR workshop proceedings, vol. 1742, CEUR-WS.org, pp. 9-17, 11th international workshop on Models@run.time / 19th International Conference on Model Driven Engineering Languages and Systems, San Malo, France, 3/10/16.

Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. / Garcia Paucar, Luis Hernan; Bencomo, Nelly.
MRT 2016 - Models@run.time: Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016). ed. / Sebastian Götz; Nelly Bencomo; Kirstie Bellman; Gordon Blair. CEUR-WS.org, 2016. p. 9-17 (CEUR workshop proceedings; Vol. 1742).

Research output: Chapter in Book/Published conference output › Conference publication

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A2 - Bencomo, Nelly

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ER -

Garcia Paucar LH, Bencomo N. Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. In Götz S, Bencomo N, Bellman K, Blair G, editors, MRT 2016 - Models@run.time: Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016). CEUR-WS.org. 2016. p. 9-17. (CEUR workshop proceedings).

Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Summary of the 11th international workshop on Models@run.time

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