Multiple Conceptual Models of a Complex System

2021 ◽  
pp. 177-198
Author(s):  
Albert L. Stevens ◽  
Allan Collins
2004 ◽  
Vol 21 (04) ◽  
pp. 463-485 ◽  
Author(s):  
NEVILLE J. CURTIS ◽  
PETER J. DORTMANS

Conceptual models are the critical first step to gaining distilled insights of complex systems. We use influence diagrams to link intuitive measures for Land Force actions with the inputs of the environment, and friendly and threat force actions. This approach provides a rich semiquantitative model that allows exploration of the effect of perturbation introduced through the adoption of enhanced equipment, innovative operational concepts, or novel technology concepts. We have built a construct for the Army based upon a set of influence diagrams for the skills of: engagement; information collection; sustainment; communication; protection; movement; and decision making. These produce mental maps that link military technologies, desired effects, and higher-level outcomes. Thus, there is a gradation of type within the influence diagram with position the key to the nature of the variable. In this paper we describe these models and how we use them to deduce likely future military concepts through "what if" contemplations of possible technology or environmental changes. In reverse, this process advises on the criticality of the constituent components. Inter-relationships between various skills and issues associated with balancing requirements between these will be highlighted. This work thus leads to further distillation-like simulations such as agent-based modeling.


2020 ◽  
pp. 5-20
Author(s):  
Alexander Pigalev ◽  

The paper is devoted to historical and philosophical analysis of the patterns of conceptual representation in the theoretical models of scientific cognition which not only rely on Marx's construal of systemic effects, but also imply some new contexts. The umbrella term "systemic effects" implies a peculiar mode of action of whatever complex system that cannot be explained by referring to the theoretical model of the linear cause-effect relationships between the elements and should be interpreted as the consequence of a certain degree of complexity of the system itself. Marx did not develop the original idea of representation as an explicit and complete theory, but he introduced the methodology of the analysis of the systemic effects that can be applied to the analysis of representation to wide extent. It is pointed out that the scientific cognition issued the challenge of reliable representations for the object domain and they tended to take the shape of conceptual models. The representation, being generally the substitution of one entity for another, is considered as an aspect of pervasive social symbolization that occurs against a background of systemic effects in exactly the same way as the economic processes. It is concluded that just modified Marx's stance became essential for the consideration of the forms of abstractive thinking, the formation of concepts, and the representational models both in general and in respect to specific problems of epistemology and philosophy of science.


Author(s):  
R. A. Waugh ◽  
J. R. Sommer

Cardiac sarcoplasmic reticulum (SR) is a complex system of intracellular tubules that, due to their small size and juxtaposition to such electron-dense structures as mitochondria and myofibrils, are often inconspicuous in conventionally prepared electron microscopic material. This study reports a method with which the SR is selectively “stained” which facilitates visualizationwith the transmission electron microscope.


1998 ◽  
Author(s):  
Svetlana Apenova ◽  
Igor Yevin

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.


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