A Kind of Systems Methodology——The SPIPRO Principle

This paper deals with the Self-Increasing-Difficulty system (SIDIS) separated from general systems, with emphasis on the relevant methodology based on the Spiral Combining Propulsion Principle (SPIPRO principle in short). The system feature and its causative factors are analysed, and the implications and mechanism of the SPIPRO principle are discussed. Finally, the application possibilities of this methodology are illustrated with some examples.     

The Synthetic Prediction Pattern of Multiple Model Systems

In this paper,the problem of the synthetic prediction pattern of multiple modelsystems has been considered,Three synthetic prediction patterns have been presented and someof their properties have been analysed.     

Practicing What We Teach in Teaching Systems Practice: The Action–Learning Cycle

Respect for autonomy is a powerful tool for managing complexity. It lets natural, mutually supportive order emerge. In Western culture, though, much order is imposed. This causes conflict, which only increases complexity. This conflictual pattern has an antidote in systems practice: the systemic action–learning cycle. When used reflectively at the level of second-order cybernetics, this cycle embodies respect for autonomy. The UK Open University course "T306: Managing Complexity—A Systems Approach" teaches this action–learning cycle, and uses the cycle in its own teaching. In particular, it uses the cycle in its online conferences, to invite participation and dissolve conflict. This paper shows how.     

The Characteristic of Enterprise Systems Engineering in the New Economic Era and Its Innovation

This paper reviewed the mode and optimization of the traditional enterprise＇s system engineering management briefly by combining the new situation of economy in the 21st century, pondered over its development and optimization in the new century, explored its new development and optimization under the new situation of economy.     

Why There's Nothing Wrong With Systems Thinking a Little Chaos Won't Fix? A Critique of Modern Systems Theory and the Practice of Organizational Change It Informs

We find ourselves at the dawning of a new millennium, uneasy denizens of a world of growing flux. The models of reality on which we rely in our continuing effort to master the turbulent and hypercompetitive marketplace are failing us. Even the much touted 20th-century innovation referred to by Peter Senge in his 1990 bestseller of the same name as the fifth discipline, that is, systems thinking, turns out to be less than adequate to the task. Therein lies the central purpose of this paper: to demonstrate why there's nothing wrong with systems thinking that a little chaos can't remedy. My intent is twofold: first, to expose the problematic partialness of this paradigm, given its tendency to direct one's focus to not to the whole system, but to its exterior half, and, second, to introduce the reader to Chaos, the powerful cosmology now emerging from 20th-century science, as a science of whole wholes—one that enables the practitioner of management and systems sciences to comprehend the system's externality, its subtle within, and most importantly, the crucial relationship between them.     

The Similar Structures and Control Problems of Complex Systems

1 Introduction1 We consider the naturally evolving complex systems, such as biotic and social systems. In their evolving process, they always make up their weaknesses and develop their favorable factors. In such a way, their structures are gradually formed. In the structures of these systems, a feature is noteworthy, i.e., the local(partial) structure is similar to the global(overall). For social systems, for instance, in a country, the management organization of a province is similar to tha…     

Preface——Special Issue to Celebrate the 30th Anniversary of Journal of Systems Science and Complexity

<正>This special issue is dedicated to the 30th anniversary of Journal of Systems Science and Complexity(JSSC)which is under the auspices of the Institute of Systems Science,Chinese Academy of Sciences.Institute of Systems Science,Chinese Academy of Sciences was established in 1979 by scientists Chao-Chih Kwan,Wen-Tsun Wu,Guo-Zhi Xu.In 1981,the Journal of Systems Science     

The Relationship of ‘Systems Thinking’ to Action Research

This article investigates the relationship of systems thinking to action research by reviewing the main developments in systems thinking and relating these to action research. There are two main lines of thought in systems thinking that lead to wholly different conceptions about action research. The first (systems thinking) advocates thinking about real social systems that it assumes exist in the world. The second (systemic thinking) supposes only that the social construction of the world is systemic. Greater emphasis is placed on systemic thinking consistent with its greater importance to contemporary action research. The article concludes that systemic thinking when taken to its practical conclusion from a critical perspective offers to action research a somewhat unique liberating praxis. Concern that any liberating praxis could remain hollow is addressed through a certain kind of ‘spiritual’ awareness that is suggested by wholeness.     

Applying the Theory of Similarity in Distributed Knowledge-Based Systems

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On the Usefulness of the Ackoff–Gharajedaghi Model of System Types for the Design of Business Systems

The Ackoff–Gharajedaghi Model of System Types distinguishes 3 fundamental empirical systems: deterministic, animate, and social, with regard to their purpose. It has been formulated as a meta-model to support understanding, selection, and formulation of management models and theories. It is argued here that this model is also valuable for the interpretation and design of actual, empirical business systems. A study of a malfunctioning business is presented and interpreted with the Ackoff–Gharajedaghi Model, which supports this argument. Additionally, the study shows a pragmatic value of the proposed Imperative of Goals Alignment for the design of business systems, which is an operationalization of the Ackoff–Gharajedaghi Model. Furthermore, the investigation illustrates the importance of clear goals and incentives in business design; and it supports the thesis of the Ackoff–Gharajedaghi Model that management models and theories, founded upon empirical observations of deterministic and animate systems, impose limitations on the design of business systems.     

An Holistic Approach to the Management of Information Systems Development—A View Using a Soft Systems Approach and Multiple Viewpoints

This paper argues that only a systems-based approach to information systems development is likely to cover all the recognized problem issues reported in the literature. It is then shown that software development can be characterized by the structure of the Soft Systems Methodology, so that this methodology acts as a metaphor for the process of information systems development. The structure of this methodology can be seen at lower levels of the development process, and so the model generated here is seen as recursive. Further, information systems development is seen as an unstructured business problem that can be characterized by the Multiple Viewpoint approach. The connections between this approach and the methodology are identified. Finally, the unifying link between these approaches and all forms of action research is identified.     

The Risk Evaluation of the Implement for Enterprise E—Business

In this paper, risk evaluation index system of electronic business is put forward for core manufactures. At the same time, risk evaluation method is established on the basis of fuzzy mathematics and grey theory, and its effectiveness and feasibility are tested in the practical example.     

On Intelligent Systems of the Data Acquisition in the Schedule Risk Analysis

It is an important task to analyze the schedule risk in a project management.As a semi-constructed or non-constructed complex system, there are many difficulties in the quantitative analysis of the schedule risk (SRA). The paper integrates intelligent techniques to obtain massive basic data required in the risk analysis process. It greatly improves the precision and efficiency of the SRA. In addition, the paper presents a mechanism and architecture of the integrated intelligent systems. Finally, the concluding remarks are provided for basic data acquisition in the SRA.     

The Dynamic Simulation Model of Industrial Enterprise Systems and Its Application

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The Theory of Adaptation of the Nervous System

The explanation and simulation of the natural and artificial intelligence are the central goals of the studies of Neuroscience, Psychology, Artificial Intelligence and Cognitive Science. This paper first gives an introduction to the core topics and approaches in the study. Then, GAF--a general adaptive framework for neural system is proposed. Interdisciplinary discussions around the adaptation of the human nervous system are presented. Rules describing the theory of adaptation of the nervous system are provided.     

A Cognitive Science Framework for the Analysis of Knowledge-Based Systems

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Dynamic Revision of Classical Laws in Physics From the Viewpoint of Systems Science

In this paper we analyse some classical laws in physics form the viewpoint of systemsscience and find out some doubtful points,and revise them by the use of the method insystems science.In the end a general methodology based on system identification for studyingdynamic relationship between various causes and effects is given.     

The Prediction of the Ownerships of Chinese Motor Vehicle

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Global Stabilization of Nonlinear Systems with Byrnes—Isidori Normal Form

1　IntroductionThe problem of the asymptotic stabilization of minimum phase nonlinear systems viasmooth state feedback has been well studied in[1— 6 ].One major methodology is by useof the nonlinear analog of the nonlinear zero dynamics notion so that,un…