The Limits of the Plannable: Stability and Complexity in Planning and Planned Systems

1977 ◽  
Vol 9 (10) ◽  
pp. 1189-1192 ◽  
Author(s):  
G F Chadwick
Keyword(s):  
Dynamic Systems ◽  
Critical Level ◽  
Ecological Systems ◽  
Planning System ◽  
Complex Dynamic ◽  
Complex Dynamic Systems ◽  
Requisite Variety ◽  
Large Systems ◽  
And Control ◽  
The Relationship

The paper considers work by Gardner and Ashby on the relationship between the connectivity of large systems and their stability, which suggests that all large complex dynamic systems will have a critical level of connectance beyond which they will go suddenly unstable. Further evidence by May on ecological systems supports this view. Reliability in systems, that is maintenance of stability of critical values over long periods of time, is held by Ashby to flow from such systems not being fully joined or connected. It is suggested that these considerations must apply also to attempts to plan and control the future of socioeconomic systems, both in relation to the planned system itself, and to the planning system which tries to invoke requisite variety to control the planned system. Stable systems in planning are thus seen as small, probably subsystemic in nature, not fully-joined, and hence hierarchical in structure. ‘Central’ planning results in instability because of size and complexity of control systems needed, and ‘equality’ is not a sustainable concept, as it requires or implies full connectedness. Finally, three kinds of system situations are put forward as representing gradations of stability and thus of ‘plannability’ or design possibility. These situations tend to show the limits of the plannable.

scholarly journals Modeling and Control of Complex Dynamic Systems 2014

2015 ◽  
Vol 2015 ◽  
pp. 1-2
Author(s):  
Zhiwei Gao ◽  
De-Xing Kong ◽  
Michael Z. Q. Chen
Keyword(s):  
Dynamic Systems ◽  
Complex Dynamic ◽  
Modeling And Control ◽  
Complex Dynamic Systems ◽  
And Control

scholarly journals Neurolaw: is the Dialogue between Neuroscience and Law Inevitable?

2018 ◽  
Vol 2 (89) ◽  
Author(s):  
Dovilė Valančienė
Keyword(s):  
Dynamic Systems ◽  
Judicial Decision ◽  
Complex Dynamic ◽  
Judicial Decision Making ◽  
New Science ◽  
Complex Dynamic Systems ◽  
New Association ◽  
The Law ◽  
The Relationship ◽  
Conceptual Overview

Research  background  and  hypothesis.  Today,  more  and  more  discussions  arise  about  the  effect  of  a  new science – postmodern, of complex dynamic systems – on the science of law. The law science is encouraged to be open both internally and externally with other sciences. The new science encourages other sciences to seek for dialogue, connection and integration; one example of this is neurolaw. Neurolaw is an association of neuroscience and law science aiming at a clearer understanding and coming closer to the truth than it was before, using the achievements of neuroscience. This is a new association which causes much debate. How can it help the law? Is this just a temporary fashion? These are topical issues for the law science to move towards perfection, and for the neuroscience to be adaptable and very important to other sciences. Research aim. A conceptual overview of the essence of neuroscience and neurolaw, answering the question about how neuroscience can help the law, and if the dialogue between them is inevitable or just a temporary fashion.Research methods. Systematic and logical analysis of the relationship between neuroscience and law.Discussion and conclusions. Neurolaw is an inevitable dialogue between law and neuroscience. This is the integration of the two sciences in order to get a clearer understanding of complex legal issues when we deal with people’s destinies, and most important, to answer what is true in a particular case. We cannot say that this is just a temporary fashion, more scientific research is carried out and with the help of this dialogue more cases can achieve the equitable solution. On the other hand, various studies related to the judicial decision-making are important to neurolaw, as they look into how decisions are made, what influences them, etc. Conceptualizing this integration as well as the importance and the scope of the dialogue between these sciences, we can say that law science will inevitably face major changes in this area. The future of this inevitable integration depends on how scientists will be able to communicate and achieve the fairest goals for us.Keywords: integration, changes, the new science.

scholarly journals Why Modeling Complex Dynamic Systems using Fuzzy Cognitive Maps?

2017 ◽  
Vol 5 (2) ◽  
pp. 1-7
Author(s):  
Peter Groumpos
Keyword(s):  
Dynamic Systems ◽  
Cognitive Maps ◽  
Difficult Problem ◽  
Fuzzy Cognitive Maps ◽  
Complex Dynamic ◽  
Efficiency Criterion ◽  
Efficient Operation ◽  
Complex Dynamic Systems ◽  
And Behavior ◽  
And Control

The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discussed.

scholarly journals Modeling and Control of Complex Dynamic Systems 2013

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Zhiwei Gao ◽  
Dexing Kong ◽  
Chuanhou Gao ◽  
Michael Chen
Keyword(s):  
Dynamic Systems ◽  
Complex Dynamic ◽  
Modeling And Control ◽  
Complex Dynamic Systems ◽  
And Control

scholarly journals Complex Dynamic Systems Theory for Cognitive Environment Approach

2021 ◽  
pp. 100-106
Author(s):  
Madeleine Rannveig
Keyword(s):  
Systems Theory ◽  
Dynamic Systems ◽  
Environmental Variability ◽  
Ecological Systems ◽  
Population Fluctuations ◽  
Dynamic Systems Theory ◽  
Complex Dynamic ◽  
Complex Dynamic Systems ◽  
Massive Scale ◽  
Cognitive Environment

Population Fluctuations (PF), Patch Variation (PV), and Food Webs (FW) are just a few of the areas where the Complex Dynamic Systems Theory (CDST) has made a significant impact on our understanding of the environment. Measures have been used to capture the variation between simple, disordered and ordered frameworks with local interactions that can generate surprising actions on a massive scale. But research shows that conventional explanations of convolution fail to take into account some major characteristics of ecological systems, an ideology that will limit the contributions of CDST to the entire ecosystem. In this paper, we have presented literature review of these characteristics of Environmental Convolution (EC), e.g. diversification, environmental variability, memory and cross-scale interactions, which progress to classical CDST. Advancements in these segments will be essential before CDST can be applicable in the comprehension of more vibrant systems in the environment.

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