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A FUNDAMENTAL SYSTEMS HYPOTHESIS RELATING RESOURCES, RISK, COMPLEXITY AND EXPECTED OUTPUT VALUE

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Author
Bradley, James
Accessioned
2008-02-27T23:01:39Z
Available
2008-02-27T23:01:39Z
Computerscience
1999-05-27
Issued
1998-12-01
Subject
Computer Science
Type
unknown
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Abstract
A working hypothesis is presented and justified, called the Fundamental Systems Hypothesis, governing all agent-directed systems. The Hypothesis is concisely expressed by five mathematical relationships, each covering a specific system aspect, any and all of which can be combined; they relate expected net output value, resources, environment, risk, complexity of a resource-sharing procedure, complexity of a precautionary procedure, and complexity of a monitoring procedure. Although it reduces, to numerical expressions for specific system circumstances, the main virtue of the Hypothesis is that it clarifies basic principles and thus helps designers and operators of systems to reason correctly about systems and avoid serious error. There are two risk parameters: positive and negative risk, and the risk measure can be either conventional standard deviation risk or mean deviation risk. There are three complexity parameters: resource-sharing complexity, precautionary complexity, and monitoring complexity. Both resource-sharing and precautionary complexity are defined as execution times; monitoring complexity is defined as negative entropy. The general veracity of this Hypothesis appears such that it could be considered a Fundamental Law of Systems. The Markowitz-Sharpe-Lintner relationship between return, capital resources and risk for the subclass of financial systems is inherent in the Hypothesis. The Hypothesis can be subjected to experimental test.
Notes
We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
Corporate
University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30410
Uri
http://hdl.handle.net/1880/46324
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