M-labeled digraphs: an aid to the use of structural and simulation models
Article Abstract:
Signed digraphs have been used to model large-scale socioeconomic occurrences; the development of M-labeled digraphs, or digraphs capable of defining several types of edges and mapping the combinatorics of the labels within the context of the digraph's application, should improve the accuracy of such models. M-labeled digraphs are developed (and defined) and a method for evaluating the sign sequences of such digraphs is explained. In addition, a technique for comparing the impacts of structurally repetitive input is discussed. The research is based on previous research into Forrester modeling involving population sectors and their interaction with housing sectors.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1985
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M-Labeled Digraphs: An Aid to the Use of Structural and Simulation Models
Article Abstract:
M-Labeled digraphsare defined and a technique for determination of the sign of a sequence can be determined are derived. This work is motivated by the need to assess the structural effect of an 'input' upon the endogenous quantities of an M-labeled digraph. A technique for comparing and combining the effects of structurally redundant inputs is presented. The theoretical development is followed by application to a prototypical Forrester model involving a population sector interactant with a housing sector. (Reprinted by Permission of Publisher.)
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1985
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An object-oriented world-view for intelligent, discrete, next-event simulation
Article Abstract:
Discrete, next-event simulation is derived from knowledge engineering and software engineering concepts. Researchers have derived a construct which makes existing discrete simulation world-views more robust for problems involving endogenous decision-making. Such decision making can be modeled using inference engines and knowledge bases. Simulation systems involving intelligent decision-making actors whose decisions impact the current state of the system can be simulated from the resultant world view.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1988
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