On the connectivity properties of the complementary set in fractal percolation models

2001 ◽  
Vol 119 (2) ◽  
pp. 176-186 ◽  
Author(s):  
M.V. Menshikov ◽  
S.Yu. Popov ◽  
M. Vachkovskaia
2021 ◽  
Vol 11 (15) ◽  
pp. 6808
Author(s):  
Gengbiao Chen ◽  
Zhiwen Liu

A colloidal damper (CD) can dissipate a significant amount of vibrations and impact energy owing to the interface power that is generated when it is used. It is of great practical significance to study the influence of the nanochannel structure of hydrophobic silica gel in the CD damping medium on the running speed of the CD. The fractal theory was applied to observe the characteristics of the micropore structure of the hydrophobic silica gel by scanning electron microscopy (SEM), the primary particles were selected to carry out fractal analysis, and the two-dimensional fractal dimension of the pore area and the tortuous fractal dimension of the hydrophobic silica gel pore structure were calculated. The fractal percolation model of water in hydrophobic silica nanochannels based on the slip theory could thus be obtained. This model revealed the relationship between the micropore structure parameters of the silica gel and the running speed of the CD. The CD running speed increases with the addition of grafted molecules and the reduction in pore size of the silica gel particles. Continuous loading velocity testing of the CD loaded with hydrophobic silica gels with different pore structures was conducted. By comparing the experimental results with the calculation results of the fractal percolation model, it was determined that the fractal percolation model can better characterize the change trend of the CD running velocity for the first loading, but the fractal dimension was changed from the second loading, caused by the small amount of water retained in the nanochannel, leading to the failure of fractal characterization.


Author(s):  
Martin Colombo ◽  
Santiago Murano ◽  
Enrique Garcia ◽  
Carlos De Marziani ◽  
Dario Roldos

1997 ◽  
Vol 240 (3) ◽  
pp. 242-253 ◽  
Author(s):  
A.M. Glukhov ◽  
A.S. Pokhila ◽  
I.M. Dmitrenko ◽  
A.E. Kolinko ◽  
A.P. Panchekha

Author(s):  
Stephen M. Fiore

This symposium provides a complementary set of papers exploring frameworks and models for developing artificial social intelligence (ASI) for teams. ASI consists of components of social cognition that support teamwork and more general interpersonal interactions. Although AI is rapidly evolving and fielded in a variety of operational settings, the implementation of such systems is vastly outpacing our ability to understand how to design and develop technologies appropriately. This symposium is meant to help redress this gap. Consisting of scholars representing the cognitive, computational, and organizational sciences, the papers discuss how they integrate theory and methods to inform development of agents capable of complex collaborative processes. Collectively, these papers synthesize perspectives across disciplines in support of an interdisciplinary research approach for ASL The goal is to contribute to research and development in the area of Human- AI- Robot Teaming effectiveness.


2018 ◽  
Vol 21 (9-10) ◽  
pp. 960-972 ◽  
Author(s):  
Gordon Earl Limb ◽  
David Hodge ◽  
Peter Ward ◽  
Richard Alboroto ◽  
Zachary Larkin

JETP Letters ◽  
1999 ◽  
Vol 69 (12) ◽  
pp. 954-958
Author(s):  
Yu. V. Pakharukov ◽  
T. E. Shevnina

2019 ◽  
Author(s):  
Andrew B Wedel ◽  
Kathleen Hall ◽  
T. Florian Jaeger ◽  
Elizabeth Hume

Based on a diverse and complementary set of theoretical and empirical findings, we describe an approach to phonology in which sound patterns are shaped by the trade-off between biases supporting message transmission accuracy and resource cost. We refer to this approach as Message-Oriented Phonology. The evidence suggests that these biases influence the form of messages, defined with reference to a language's morphemes, words or higher levels of meaning, rather than influencing phonological categories directly. Integrating concepts from information theory and Bayesian inference with the existing body of phonological research, we propose a testable model of phonology that makes quantitative predictions. Moreover, we show that approaching language as a system of message transfer provides greater explanatory coverage of a diverse range of sound patterns.


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