Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems

Kai Heussen; Morten Lind

doi:10.1109/ICSMC.2010.5642272

Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems

Kai Heussen, Morten Lind

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process. Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy. The results are illustrated on examples from the domain of electric power systems.

Original language	English
Title of host publication	2010 IEEE International Conference on Systems, Man, and Cybernetics : Intelligent Systems for a Safe and Secure World
Publisher	IEEE
Publication date	2010
ISBN (Print)	978-1-4244-6586-6
DOIs	https://doi.org/10.1109/ICSMC.2010.5642272
Publication status	Published - 2010
Event	2010 IEEE International Conference on Systems, Man and Cybernetics - Istanbul, Turkey Duration: 10 Oct 2010 → 13 Oct 2010 https://ieeexplore.ieee.org/xpl/conhome/5629466/proceeding

Conference

Conference	2010 IEEE International Conference on Systems, Man and Cybernetics
Country/Territory	Turkey
City	Istanbul
Period	10/10/2010 → 13/10/2010
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5629466/proceeding

Bibliographical note

Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Keywords

Causality
Knowledge-based Systems
Functional Modeling
Model-based reasoning
Power Systems
Intelligent Control
Means-ends

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10.1109/ICSMC.2010.5642272

Smc2010Submitted manuscript, 1.92 MB

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title = "Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems",

abstract = "Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process. Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy. The results are illustrated on examples from the domain of electric power systems.",

keywords = "Causality, Knowledge-based Systems, Functional Modeling, Model-based reasoning, Power Systems, Intelligent Control, Means-ends",

author = "Kai Heussen and Morten Lind",

note = "Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 ; Conference date: 10-10-2010 Through 13-10-2010",

year = "2010",

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language = "English",

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Heussen, K & Lind, M 2010, Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems. in 2010 IEEE International Conference on Systems, Man, and Cybernetics: Intelligent Systems for a Safe and Secure World. IEEE, 2010 IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10/10/2010. https://doi.org/10.1109/ICSMC.2010.5642272

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AU - Heussen, Kai

AU - Lind, Morten

N1 - Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2010

Y1 - 2010

N2 - Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process. Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy. The results are illustrated on examples from the domain of electric power systems.

AB - Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process. Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy. The results are illustrated on examples from the domain of electric power systems.

KW - Causality

KW - Knowledge-based Systems

KW - Functional Modeling

KW - Model-based reasoning

KW - Power Systems

KW - Intelligent Control

KW - Means-ends

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DO - 10.1109/ICSMC.2010.5642272

M3 - Article in proceedings

SN - 978-1-4244-6586-6

BT - 2010 IEEE International Conference on Systems, Man, and Cybernetics

PB - IEEE

T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics

Y2 - 10 October 2010 through 13 October 2010

ER -

Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems

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Bibliographical note

Keywords

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