Constraint Theory, Part I: Fundamentals

Friedman, George J.; Leondes, Cornelius T.

doi:10.1109/tssc.1969.300244

Cited by 30 publications

(7 citation statements)

References 3 publications

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“…The minimum mathematical formalism of Friedman is employed. The definitions and Theorems 1-5 were demonstrated by Friedman (1967;1976;Friedman and Leondes 1969). Theorems 6-8 are among the contributions of the present article.…”

Section: Constraint Theory and System Dynamicsmentioning

confidence: 55%

“…Constraint theory was developed by G. J. Friedman (1967;1976;Friedman and Leondes 1969) in order to ' I automate the determination of whether a complex mathematical model and its required computations are well-posed.'' Friedman defined four representations…”

Section: Constraint Theory and System Dynamicsmentioning

confidence: 99%

“…The computational viewpoint is discussed here. The reader should refer to Friedman (1967) and Friedman and Leondes (1969) for the set-theoretic viewpoint. The following is stated as a postulate.…”

Section: Figmentioning

confidence: 99%

“…First, the propagation of constraints (the basis of QS algorithms) is studied from the point of view of constraint theory (Friedman 1967;1976; Friedman and Leondes 1969). I show why the structure of the Forrester diagrams can establish a general scheme that would be valid for the propagation of constraints.…”

mentioning

confidence: 99%

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Qualitative simulation and system dynamics

Dolado

1992

System Dynamics Review

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This article explores some requirements for applying qualitative simulation algorithms to system dynamics models. The field of qualitative simulation lacks a specific procedure for modeling systems (subjects of its models are generally physical systems). Bringing together qualitative simulation techniques and system dynamics modeling techniques could benefit both fields. The structural correctness of system dynamics models is defined using constraint theory. An attempt is made to alleviate some problems of qualitative simulation algorithms by drawing upon system dynamics modeling methods and by establishing the structure for the propagation of constraints in these models.

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Section: Constraint Theory and System Dynamicsmentioning

confidence: 55%

Section: Constraint Theory and System Dynamicsmentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

mentioning

confidence: 99%

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Qualitative simulation and system dynamics

Dolado

1992

System Dynamics Review

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“…Microworlds at the behavioural level of abstraction are represented with mathematical constraints in the form of constraint graphs (Friedman and Leondes, 1969;Steele and Sussman, 1979 Given functional microworlds constructed with the icons from LST, designers can begin to instantiate the specified functions with appropriate behaviours and structures. To aid in this endeavour, we are developing a conceptual design catalogue in which building blocks at the function, behaviour, and structure levels of abstraction are categorized and listed accordingly.…”

Section: Instantiating Functional Perspectivesmentioning

confidence: 99%

Functional modelling in engineering design: a perspectival approach featuring living systems theory

2006

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Complex engineering systems (e.g. aeronautic vehicles and automobiles) consist of many different interfacing parts and are subject to numerous requirements and constraints regarding aspects of performance, manufacturability, economics, etc. Their design requires the collaboration between people from various disciplines-each retaining different, but necessary, perspectives of the system under design. Here, perspective is defined as a particular context that a human utilizes to create personally meaningful understanding. The key, then, to developing complex engineering systems lies in accommodating and negotiating different perspectives such that a comprehensive and highly integrated design is achieved. We offer a methodology for performing design that explicitly incorporates the multiplicity and diversity of perspective encountered when developing complex engineering systems.

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Processing of domain experts' knowledge for development of a KBS for risk analysis

Durgaprasad

2001

Int. J. Intell. Syst.

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Ž. Knowledge-based systems KBSs are being widely used for risk analysis of structures. The KBS makes use of domain experts' knowledge, which is an essential element of input for risk analysis. Acquired pieces of knowledge must be processed and improved with the help of domain experts before use for risk analysis. Utilization of the acquired knowledge without processing can reduce the quality of risk analysis. Processing of the knowledge elicited from experts is essential to identify the conflicting pieces of knowledge, gaps, and redundancies. Further, it is necessary to eliminate conflicts and represent the knowledge in a consistent and complete manner suitable for carrying out risk analysis. Processing of the knowledge elicited from different domain experts is a difficult task. A new approach using graph theoretic technique is proposed in this paper for the processing of knowledge and its use in the creation of a knowledge base. This new approach helps in developing an effective KBS for risk analysis of structures. To demonstrate the approach, an example problem of risk analysis of roof structure against damage due to cyclonic winds is considered. ᮊ

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Constraint Theory, Part I: Fundamentals

Cited by 30 publications

References 3 publications

Qualitative simulation and system dynamics

Qualitative simulation and system dynamics

Functional modelling in engineering design: a perspectival approach featuring living systems theory

Processing of domain experts' knowledge for development of a KBS for risk analysis

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