Facets of Systems Science

Front Cover
Springer Science & Business Media, Oct 31, 2001 - Business & Economics - 740 pages
This book has a rather strange history. It began in spring 1989, thirteen years after our Systems Science Department at SUNY-Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them. The spokesman of the group, Cliff Joslyn, opened our meeting by stating its purpose. I can closely paraphrase what he said: "We called this meeting to discuss with you, as Chairman of the Department, a fundamental problem with our systems science curriculum. In general, we consider it a good curriculum: we learn a lot of concepts, principles, and methodological tools, mathematical, computational, heu ristic, which are fundamental to understanding and dealing with systems. And, yet, we learn virtually nothing about systems science itself. What is systems science? What are its historical roots? What are its aims? Where does it stand and where is it likely to go? These are pressing questions to us. After all, aren't we supposed to carry the systems science flag after we graduate from this program? We feel that a broad introductory course to systems science is urgently needed in the curriculum. Do you agree with this assessment?" The answer was obvious and, yet, not easy to give: "I agree, of course, but I do not see how the situation could be alleviated in the foreseeable future.
 

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So-so, and lacking clarity of content. Also, Kluwer apparently has no formally trained editors on staff, as they miss so many common grammatical errors in all of the publisher's books that it is fast becoming annoying.

Contents

What Is Systems Science?
3
More about Systems
9
22 More about Relations
13
23 Constructivism versus Realism
19
24 Classification of Systems
24
Exercises
28
Systems Movement
31
32 Systems Thinking
37
Systems Knowledge
123
72 Systems Science Laboratory
124
73 Laws of Systems Science
125
74 Metamethodological Inquiries
128
Complexity
135
82 Complexity and Information
137
83 Bremermanns Computational Limit
144
84 Computational Complexity
149

33 Other Relevant Developments
47
34 TwoDimensional Science
52
Exercises
54
Conceptual Frameworks
55
42 Deductive Approaches
56
43 Inductive Approaches
61
44 Epistemological Categories of Systems
63
45 Epistemological Hierarchy of Systems
86
Exercises
87
Systems Methodology
89
52 General Systems Problem Solver
93
53 Systems Modeling
95
54 Classification of Systems Models
98
55 Systems Modeling in a Broader Sense
101
56 Methodological Role of the Computer
105
Exercises
106
Systems Metamethodology
109
62 Characteristics of Methods
110
63 Methodological Paradigms
112
64 Examples of Methodological Paradigms
113
Exercises
121
Exercises
157
Simplification Strategies
159
A General Formulation
161
93 Special Simplification Strategies
162
Exercises
168
GoalOriented Systems
171
102 Paradigms of GoalOriented Systems
175
103 Adaptive Systems
177
104 Special Types of Goal Orientation
183
Exercises
190
Systems Science in Retrospect and Prospect
191
112 Status and Impact of Systems Science
197
113 The Future of Systems Science
213
Mathematical Terminology and Notation
219
References
223
Classical Systems Literature
235
Introduction and Comments
237
Detailed Contents
239
Author Index
731
Subject Index
735
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