Coping with environmental complexity: a computer simulation methodology.

Persistent Link:
http://hdl.handle.net/10150/191572
Title:
Coping with environmental complexity: a computer simulation methodology.
Author:
McDonald, John H.(John Harlan),1944-
Issue Date:
1973
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
A voluntaristic model of "open system" man incorporating elements of choice and judgement, seems crucial to understanding and evaluating the many ways man organizes and orients himself in the natural world. To discover the meaning of man's environmental actions the model should include, in addition to a physical level, three social levels of analysis: (1) personal, (2) societal, and (3) cultural. Simulation models which incorporate one or more of these social levels will undoubtedly contain some variables and relationships which are subjectively determined. KSIM, a new simulation methodology/language is discussed and applied to a simulation of the U.S. population natural resource system. KSIM was originally developed to answer two problems suffered by most simulation models. First, they seldom incorporate variables of a subjective nature or those not easily quantified. Second, the technical complexity of most models and languages inhibits their use, understanding and acceptance by policy makers. KSIM allows the users to input their subjective judgements about objectively unknown relationships. The resulting simulated model is run for a specified time period thus allowing the users to analyze the results of their perceptions about the system. The desired result is a better insight into the real system through group discussions which collectively analyze and define the group's perceptions of that real system.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Human beings -- Effect of environment on -- Mathematical models.; Programming languages (Electronic computers); KSIM (Computer program language)
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Gum, Russell L.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleCoping with environmental complexity: a computer simulation methodology.en_US
dc.creatorMcDonald, John H.(John Harlan),1944-en_US
dc.contributor.authorMcDonald, John H.(John Harlan),1944-en_US
dc.date.issued1973en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractA voluntaristic model of "open system" man incorporating elements of choice and judgement, seems crucial to understanding and evaluating the many ways man organizes and orients himself in the natural world. To discover the meaning of man's environmental actions the model should include, in addition to a physical level, three social levels of analysis: (1) personal, (2) societal, and (3) cultural. Simulation models which incorporate one or more of these social levels will undoubtedly contain some variables and relationships which are subjectively determined. KSIM, a new simulation methodology/language is discussed and applied to a simulation of the U.S. population natural resource system. KSIM was originally developed to answer two problems suffered by most simulation models. First, they seldom incorporate variables of a subjective nature or those not easily quantified. Second, the technical complexity of most models and languages inhibits their use, understanding and acceptance by policy makers. KSIM allows the users to input their subjective judgements about objectively unknown relationships. The resulting simulated model is run for a specified time period thus allowing the users to analyze the results of their perceptions about the system. The desired result is a better insight into the real system through group discussions which collectively analyze and define the group's perceptions of that real system.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshHuman beings -- Effect of environment on -- Mathematical models.en_US
dc.subject.lcshProgramming languages (Electronic computers)en_US
dc.subject.lcshKSIM (Computer program language)en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairGum, Russell L.en_US
dc.contributor.committeememberDowning, Theodore E.en_US
dc.contributor.committeememberReeves, Richard W.en_US
dc.identifier.oclc213092075en_US
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