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The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems : A literature review. / Tepjit, Sirasak; Horváth, Imre; Rusák, Zoltán.

In: Journal of Computational Design and Engineering, Vol. 6, No. 4, 2019, p. 527-541.

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@article{af8ccd329374484eb642a1659d0ec01b,
title = "The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems: A literature review",
abstract = "Smart CPSs (S-CPSs) have been evolving beyond what was identified by the traditional definitions of CPSs. The objective of our research is to investigate the concepts and implementations of reasoning processes for S-CPSs, and more specifically, the frameworks proposed for the fuzzy front end of their reasoning mechanisms. The objectives of the paper are: (i) to analyze the framework concepts and implementations of CPS, (ii) to review the literature concerning system-level reasoning and its enablers from the points of view of the processed knowledge, building awareness, reasoning mechanisms, decision making, and adaptation. Our findings are: (i) awareness and adaptation behaviors are considered as system-level smartness of S-CPSs that are not achieved by traditional design approaches; (ii) model-based and composability approaches insufficiently support the development of reasoning mechanisms for S-CPSs; (iii) frameworks for development of reasoning in S-CPS should support compositional design. Based on the conclusions above, we argue that coping with the challenges of compositionality requires both software-level integration and holistic fusion of knowledge by means of semantic transformations. This entails the need for a multi aspect framework that is able to capture at least conceptual, functional, architectural, informational, interoperation, and behavioral aspects. It needs further investigation if a compositionality enabling framework should appear in the form of a meta-framework (abstract) or in the form of a semantically integrated (concrete) framework.",
keywords = "Compositionality, Cyber-physical systems, Development framework, System level reasoning, System smartness",
author = "Sirasak Tepjit and Imre Horv{\'a}th and Zolt{\'a}n Rus{\'a}k",
year = "2019",
doi = "10.1016/j.jcde.2019.04.002",
language = "English",
volume = "6",
pages = "527--541",
journal = "Journal of Computational Design and Engineering",
issn = "2288-4300",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems

T2 - A literature review

AU - Tepjit, Sirasak

AU - Horváth, Imre

AU - Rusák, Zoltán

PY - 2019

Y1 - 2019

N2 - Smart CPSs (S-CPSs) have been evolving beyond what was identified by the traditional definitions of CPSs. The objective of our research is to investigate the concepts and implementations of reasoning processes for S-CPSs, and more specifically, the frameworks proposed for the fuzzy front end of their reasoning mechanisms. The objectives of the paper are: (i) to analyze the framework concepts and implementations of CPS, (ii) to review the literature concerning system-level reasoning and its enablers from the points of view of the processed knowledge, building awareness, reasoning mechanisms, decision making, and adaptation. Our findings are: (i) awareness and adaptation behaviors are considered as system-level smartness of S-CPSs that are not achieved by traditional design approaches; (ii) model-based and composability approaches insufficiently support the development of reasoning mechanisms for S-CPSs; (iii) frameworks for development of reasoning in S-CPS should support compositional design. Based on the conclusions above, we argue that coping with the challenges of compositionality requires both software-level integration and holistic fusion of knowledge by means of semantic transformations. This entails the need for a multi aspect framework that is able to capture at least conceptual, functional, architectural, informational, interoperation, and behavioral aspects. It needs further investigation if a compositionality enabling framework should appear in the form of a meta-framework (abstract) or in the form of a semantically integrated (concrete) framework.

AB - Smart CPSs (S-CPSs) have been evolving beyond what was identified by the traditional definitions of CPSs. The objective of our research is to investigate the concepts and implementations of reasoning processes for S-CPSs, and more specifically, the frameworks proposed for the fuzzy front end of their reasoning mechanisms. The objectives of the paper are: (i) to analyze the framework concepts and implementations of CPS, (ii) to review the literature concerning system-level reasoning and its enablers from the points of view of the processed knowledge, building awareness, reasoning mechanisms, decision making, and adaptation. Our findings are: (i) awareness and adaptation behaviors are considered as system-level smartness of S-CPSs that are not achieved by traditional design approaches; (ii) model-based and composability approaches insufficiently support the development of reasoning mechanisms for S-CPSs; (iii) frameworks for development of reasoning in S-CPS should support compositional design. Based on the conclusions above, we argue that coping with the challenges of compositionality requires both software-level integration and holistic fusion of knowledge by means of semantic transformations. This entails the need for a multi aspect framework that is able to capture at least conceptual, functional, architectural, informational, interoperation, and behavioral aspects. It needs further investigation if a compositionality enabling framework should appear in the form of a meta-framework (abstract) or in the form of a semantically integrated (concrete) framework.

KW - Compositionality

KW - Cyber-physical systems

KW - Development framework

KW - System level reasoning

KW - System smartness

UR - http://www.scopus.com/inward/record.url?scp=85072518488&partnerID=8YFLogxK

U2 - 10.1016/j.jcde.2019.04.002

DO - 10.1016/j.jcde.2019.04.002

M3 - Review article

AN - SCOPUS:85072518488

VL - 6

SP - 527

EP - 541

JO - Journal of Computational Design and Engineering

JF - Journal of Computational Design and Engineering

SN - 2288-4300

IS - 4

ER -

ID: 57214697