Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems

Author(s):  
Christian Jacob
2018 ◽  
Author(s):  
Diamantis Sellis

The dynamics of complex systems far from their equilibrium state are currently not fully understood. Besides the theoretical interest for better understanding the world around us this limitation has important practical implications to our ability to model, understand and therefore manage and control complex systems. In a first step to better understand the non- equilibrium dynamics and improve our ability to model complex systems I implement a cellular automaton model of gas mixing. I simulate the evolution towards equilibrium starting from a state of macroscopic order and as the system evolves I calculate the Kolmogorov complexity, the information entropy and the box-counting dimension of the system. I observe a transient peak in complexity, entropy and fractality of the system. To test the genericity of this pattern I implement a very different model, the game of life, where I find the same statistical patterns.


2008 ◽  
Vol 17 (3) ◽  
pp. 365-376 ◽  
Author(s):  
Abdoul-Fatah Kanta ◽  
Ghislain Montavon ◽  
Michel Vardelle ◽  
Marie-Pierre Planche ◽  
Christopher C. Berndt ◽  
...  

2006 ◽  
Vol 35 (3) ◽  
pp. 275-294 ◽  
Author(s):  
D. K. Tolani ◽  
A. Ray ◽  
J. F. Horn
Keyword(s):  

Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.


2020 ◽  
pp. 575-599
Author(s):  
Vladimír Bureš

Systems engineering focuses on design, development, and implementation of complex systems. Not only does the Industry 4.0 concept consist of various technical components that need to be properly set and interconnected, but it is also tied to various managerial aspects. Thus, systems engineering approach can be used for its successful deployment. Overemphasis of technological aspects of Industry 4.0 represents the main starting point of this chapter. Then, collocation analysis, word clusters identification, selection and exemplification of selected domain in the business management realm, and frequency analysis are used in order to develop a holistic framework of Industry 4.0. This framework comprises six levels – physical, activity, outcome, content, triggers, and context. Moreover, the information and control level is integrated. The new holistic framework helps to consider Industry 4.0 from the complex systems engineering perspective – design and deployment of a complex system with required parameters and functionality.


1969 ◽  
Vol 115 (518) ◽  
pp. 99-100 ◽  
Author(s):  
Gerald Milner

Psychotropic agents are widely prescribed. The effects of a drug represent a complex interaction between the chemical agent, the individual patient and the environment in which the administration of the drug takes place. Many patients use alcohol (a C.N.S. depressant) and control complex machinery. It is necessary to know how a drug interacts with alcohol and especially how it affects driving skills. Murray (1960), in a 90 day study of 68 drivers on chlordiazepoxide, found that traffic accidents were ten times more frequent than the predicted control rate. Zirkleet al. (1959) established that chlorpromazine had “a supplementary and possible potentiating effect” on the impairment of co-ordination and judgement produced by alcohol in 24 human subjects.


Sign in / Sign up

Export Citation Format

Share Document