Knowledge-based design of LANs using system entity structure concepts

Rozenblit, Jerzy W.; Sevinç, Süleyman; Zeigler, Bernard P.

doi:10.1145/318242.318532

Cited by 13 publications

(6 citation statements)

References 3 publications

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“…The concept of a module hierarchy was alluded to earlier in the context of modeling components of a system at varying levels of detail. Bernard Zeigler, who has written many articles on the subject of hierarchical modular modeling [4,7,8,11,36] makes the point that "...models oriented to fundamentally the same objectives may be constructed at different aggregation levels due to tradeoffs in accuracy achievable versus complexity costs incurred." Hierarchical modeling will be discussed in much greater detail in later sections.…”

Section: Modularitymentioning

confidence: 99%

“…In that book, he quietly introduced the idea of decomposition of existing models in a hierarchical manner, corresponding to the levels of functional detail. Zeigler [11], discussing the theoretical aspects of decomposition in a hierarchical sense based on varying degrees of detail, states "...specification of design in levels in a hierarchical manner [implies] the first level, and thus the most abstract level, is defined by the behavioral description of the system. Next levels are defined by decomposing the system into subsystems (modules, components) and applying decompositions to such subsystems until the resulting components are judged not to require further decomposition.. .Therefore, the structure of the specification is a hierarchy where leaf nodes are atomic models (cannot be decomposed any further)."…”

Section: Hierarchical Modular Modelingmentioning

confidence: 99%

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Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology

Sisti¹

1992

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Section: Modularitymentioning

confidence: 99%

Section: Hierarchical Modular Modelingmentioning

confidence: 99%

Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology

Sisti¹

1992

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“…A system entity structure incorporates decompo sition, taxonomy and coupling knowledge concerning a domain of real world [12,13].…”

Section: System Entity Structure Knowledge Representationmentioning

confidence: 99%

Hierarchical Modelling Of Mobile, Seeing Robots

Luh

Zeigler

1990

SPIE Proceedings

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The most advanced technology has been used to photo graph and reproduce this manuscript from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are re produced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. These are also available as one exposure on a standard 35mm slide or as a 17" x 23" black and white photographic print for an additional charge.Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. STATEMENT OF AUTHORThis thesis has been submitted in partial fulfillment of requirements for an advanced degree at the University of Arizona and is deposited in the University Library to be made available to borrowers under rules of the Library.Brief quotations from this thesis are allowable without special permission, pro vided that accurate acknowledgment of source is made. Requests for permission for extended quotation from or reproduction of this manuscript in whole or in part may be granted by the Head of the major department or the Dean of the Graduate College when in his or her judgment the proposed use of the material is in the in terests of scholarship. In all other instances, however, permission must be obtained from the author.

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“…Hierarchical, modular models can now be automatically synthesized from model base resident components under pruned entity structure directions. This model base environment serves as our vehicle for research in knowledge-based system design using variant families of design models (Rozenblit and Zeigler 1985;Rozenblit, Sevinc, and Zeigler 1986). We also intend to extend DEVS-Scheme with operations for building variable structure models which contain intelligence to modify their own structure during a simulation run Reynolds, 1985a, 1985b;Zeigler 1986a).…”

Section: Continuing Development and Researchmentioning

confidence: 99%

Hierarchical, modular discrete-event modelling in an object-oriented environment

Zeigler

1987

SIMULATION

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211

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is a professor of electrical and computer engineering at The University of Arizona, Tucson. He received his PhD from the University of Michigan and his B. Eng. and MS from McGill University and MIT. His book Theory of Modelling and Simulation (Zeigler 1976) is regarded as one of the foundational works in the field. He has contributed to the development of computer modelling methodology through the organization of symposia and other meetings. Author of a hundred publications in journals, books, and conference proceedings; his recent book is Multifacetted Modelling and Discrete Event Simulation (Zeigler 1984). This treatise develops concepts for the design of software systems to support the model-based simulation methodologies of the future. ABSTRACTHierarchical, modular specification of discrete-event models offers a basis for reusable model bases and hence for enhanced simulation of truly varied design alternatives. We describe an environment which realizes the DEVS formalism developed in Zeigler (1984) for hierarchical, modular models. It is implemented in PC-Scheme, a powerful Lisp dialect for microcomputers containing an object-oriented programming subsystem. Since both the implementation and the underlying language are accessible to the user, the result is a capable medium for combining simulation modelling and artificial intelligence techniques. The environment is developed in an object-oriented manner which lends itself to model base organization using the entity structure knowledge representation. It also serves as a medium for developing hierarchical distributed simulation models and architectures.

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Knowledge-based design of LANs using system entity structure concepts

Cited by 13 publications

References 3 publications

Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology

Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology

Hierarchical Modelling Of Mobile, Seeing Robots

Hierarchical, modular discrete-event modelling in an object-oriented environment

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