scholarly journals COMPLEXITY AND HIERARCHICAL MAJORITY RULE

2004 ◽  
Vol 15 (03) ◽  
pp. 427-433
Author(s):  
IVAN GÖTZ ◽  
ISAAK RUBINSTEIN ◽  
EUGENE TZVETKOV ◽  
BORIS ZALTZMAN
Keyword(s):  
Social Sciences ◽  
Population Dynamics ◽  
Cellular Automata ◽  
Hierarchical Structure ◽  
Majority Rule ◽  
Biological Population ◽  
Wide Range ◽  
Important Notion

Hierarchical structure is an essential part of complexity, an important notion relevant for a wide range of applications ranging from biological population dynamics through robotics to social sciences. In this paper we propose a simple cellular-automata tool for study of hierarchical population dynamics.

The Remembered Anthropologist: Engaging with the Insights of M. N. Srinivas

2020 ◽  
Vol 69 (2) ◽  
pp. 224-240
Author(s):  
Nita Mathur
Keyword(s):  
Social Sciences ◽  
Nation Building ◽  
Sociological Research ◽  
Contemporary Society ◽  
Social Anthropology ◽  
General Sense ◽  
Wide Range ◽  
The World ◽  
Village Studies ◽  
Specific Sense

The plethora of M. N. Srinivas’s articles and books covering a wide range of subjects from village studies to nation building, from dominant caste in Rampura village to nature and character of caste in independent India, and from prospects of sociological research in Gujarat to practicing social anthropology in India have largely influenced the understanding of society and culture for well over five decades. Additionally, he meticulously wrote itineraries, memoirs and personal notes that provide a glimpse of his inner being, influences, ideologies, thought all of which have inspired a large number of and social anthropologists and sociologists across the world. It is then only befitting to explore the major concerns in the life and intellectual thought of one whose pioneering contributions have been the milestones in the fields of social anthropology and sociology in a specific sense and of social sciences in India in a general sense. This article centres around/brings to light the academic concerns that Srinivas grappled with the new avenues of thought and insights that developed consequently, and the extent of his rendition their relevance in framing/understanding contemporary society and culture in India.

scholarly journals A Model for Analysing the Collective Dynamic Behaviour and Characterising the Exploitation of Population-Based Algorithms

2014 ◽  
Vol 22 (1) ◽  
pp. 159-188 ◽  
Author(s):  
Mikdam Turkey ◽  
Riccardo Poli
Keyword(s):  
Population Dynamics ◽  
Dynamic Behaviour ◽  
Fitness Landscape ◽  
Population Based ◽  
Levels Of Abstraction ◽  
Collective Dynamic ◽  
Model Studies ◽  
Proposed Model ◽  
Wide Range ◽  
Multiple Levels

Several previous studies have focused on modelling and analysing the collective dynamic behaviour of population-based algorithms. However, an empirical approach for identifying and characterising such a behaviour is surprisingly lacking. In this paper, we present a new model to capture this collective behaviour, and to extract and quantify features associated with it. The proposed model studies the topological distribution of an algorithm's activity from both a genotypic and a phenotypic perspective, and represents population dynamics using multiple levels of abstraction. The model can have different instantiations. Here it has been implemented using a modified version of self-organising maps. These are used to represent and track the population motion in the fitness landscape as the algorithm operates on solving a problem. Based on this model, we developed a set of features that characterise the population's collective dynamic behaviour. By analysing them and revealing their dependency on fitness distributions, we were then able to define an indicator of the exploitation behaviour of an algorithm. This is an entropy-based measure that assesses the dependency on fitness distributions of different features of population dynamics. To test the proposed measures, evolutionary algorithms with different crossover operators, selection pressure levels and population handling techniques have been examined, which lead populations to exhibit a wide range of exploitation-exploration behaviours.

scholarly journals ON DIVERSITY OF CONFIGURATIONS GENERATED BY EXCITABLE CELLULAR AUTOMATA WITH DYNAMICAL EXCITATION INTERVALS

2012 ◽  
Vol 23 (12) ◽  
pp. 1250085 ◽  
Author(s):  
ANDREW ADAMATZKY
Keyword(s):  
Cellular Automata ◽  
Lower Boundary ◽  
Morphological Diversity ◽  
Excitable Media ◽  
Stationary Waves ◽  
Future Studies ◽  
Time Dynamics ◽  
Wide Range ◽  
Localized Excitations ◽  
Upper Boundary

Excitable cellular automata with dynamical excitation interval exhibit a wide range of space-time dynamics based on an interplay between propagating excitation patterns which modify excitability of the automaton cells. Such interactions leads to formation of standing domains of excitation, stationary waves and localized excitations. We analyzed morphological and generative diversities of the functions studied and characterized the functions with highest values of the diversities. Amongst other intriguing discoveries we found that upper boundary of excitation interval more significantly affects morphological diversity of configurations generated than lower boundary of the interval does and there is no match between functions which produce configurations of excitation with highest morphological diversity and configurations of interval boundaries with highest morphological diversity. Potential directions of future studies of excitable media with dynamically changing excitability may focus on relations of the automaton model with living excitable media, e.g. neural tissue and muscles, novel materials with memristive properties and networks of conductive polymers.

Influence of operating conditions on population dynamics in nitrifying biofilms

1999 ◽  
Vol 39 (7) ◽  
pp. 5-11 ◽  
Author(s):  
Valentina Lazarova ◽  
Danièle Bellahcen ◽  
Jacques Manem ◽  
David A. Stahl ◽  
Bruce E. Rittmann
Keyword(s):  
Population Dynamics ◽  
Ammonia Oxidation ◽  
Biofilm Reactor ◽  
Operating Conditions ◽  
Stable Operation ◽  
N Removal ◽  
Wide Range ◽  
Total Nitrogen Removal ◽  
Nitrite Oxidizers

TURBO N® is a circulating-bed biofilm reactor that provides stable operation and high N removal for a wide range of N and BOD loadings. This paper describes the influence of operating conditions on biofilm composition and population dynamics when the TURBO N® is operated to achieve tertiary nitrification, simultaneous carbon and ammonia oxidation and total nitrogen removal when coupled with a pre-denitrification fixed floating bed reactor. In situ specific nitrification rates and respiration tests showed that ammonium and nitrite oxidizers became less active in the biofilm once oxidation of influent BOD became important. Analyses of community structure with oligonucleotide probes targeted to the 16S rRNA showed the same general trends for nitrifiers, but also suggested shifts in the makeup of the ammonium and nitrite oxidizers that could not be detected with respirometry or specific nitrification rates.

scholarly journals The body-size dependence of mutual interference

2014 ◽  
Vol 10 (6) ◽  
pp. 20140261 ◽  
Author(s):  
John P. DeLong
Keyword(s):  
Population Dynamics ◽  
Body Size ◽  
Size Dependence ◽  
Empirical Support ◽  
Mutual Interference ◽  
The Body ◽  
Wide Range ◽  
Stabilizing Effect ◽  
Body Sizes ◽  
Size Scales

The parameters that drive population dynamics typically show a relationship with body size. By contrast, there is no theoretical or empirical support for a body-size dependence of mutual interference, which links foraging rates to consumer density. Here, I develop a model to predict that interference may be positively or negatively related to body size depending on how resource body size scales with consumer body size. Over a wide range of body sizes, however, the model predicts that interference will be body-size independent. This prediction was supported by a new dataset on interference and consumer body size. The stabilizing effect of intermediate interference therefore appears to be roughly constant across size, while the effect of body size on population dynamics is mediated through other parameters.

Simulation of Multiple Cell Population Dynamics Using a 3-D Cellular Automata Model for Tissue Growth

2012 ◽  
pp. 201-220
Author(s):  
Belgacem Ben Youssef ◽  
Lenny Tang
Keyword(s):  
Population Dynamics ◽  
Cellular Automata ◽  
Temporal Dynamics ◽  
Discrete Systems ◽  
Tissue Growth ◽  
State Transitions ◽  
Extended Model ◽  
Alternative Approach ◽  
Continuous Models ◽  
Multiple Cell

In this paper, the authors describe a computational model for the growth of multicellular tissues using a discrete approach based on cellular automata to simulate the tissue growth rates and population dynamics of multiple populations of proliferating and migrating cells. Each population of cells has its own division, motion, collision, and aggregation characteristics. These random dynamic processes can be modeled by appropriately choosing the governing rules of the state transitions of each computational site. This extended model contains a number of system parameters that allow their effects on the volume coverage, the overall tissue growth rate, and some other aspects of cell behavior like the average speed of locomotion to be explored. These discrete systems provide an alternative approach to continuous models for the purpose of describing the temporal dynamics of complex systems.

Conclusion

2020 ◽  
pp. 333-337
Author(s):  
Theodore M. Porter
Keyword(s):  
Social Sciences ◽  
Nineteenth Century ◽  
Twentieth Century ◽  
Hierarchical Structure ◽  
Academic Discipline ◽  
Half Century ◽  
Intellectual Character ◽  
Statistical Mathematics ◽  
Solid Foundation ◽  
Structure Of Knowledge

This concluding chapter addresses how statistics has assumed the trappings of a modern academic discipline primarily during the last half century. The intellectual character of statistics had been thoroughly transformed by 1900. The period when statistical thinking was allied only to the simplest mathematics gave way to a period of statistical mathematics—which, to be sure, has not been divorced from thinking. In the twentieth century, statistics has at last assumed at least the appearance of conforming to that hierarchical structure of knowledge beloved by philosophers and sociologists in which theory governs practice and in which the “advanced” field of mathematics provides a solid foundation for the “less mature” biological and social sciences. The crystallization of a mathematical statistics out of the wealth of applications developed during the nineteenth century provides the natural culmination to this story.

scholarly journals The Embeddedness of Social Sciences and Economics in Research on Resources

Resources ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 15
Author(s):  
Juan Uribe-Toril ◽  
José Luis Ruiz-Real ◽  
Jaime de Pablo Valenciano
Keyword(s):  
Social Sciences ◽  
State Of The Art ◽  
Local Development ◽  
The State ◽  
Special Issue ◽  
Continuous Review ◽  
The Past ◽  
Research Fields ◽  
Wide Range ◽  
Knowledge Area

Sustainability, local development, and ecology are keywords that cover a wide range of research fields in both experimental and social sciences. The transversal nature of this knowledge area creates synergies but also divergences, making a continuous review of the existing literature necessary in order to facilitate research. There has been an increasing number of articles that have analyzed trends in the literature and the state-of-the-art in many subjects. In this Special Issue of Resources, the most prestigious researchers analyzed the past and future of Social Sciences in Resources from an economic, social, and environmental perspective.

scholarly journals NanoGrande: Electron Microscopy Education and Outreach Through a Collaboration of Scientists and Artists

2013 ◽  
Vol 21 (2) ◽  
pp. 42-46
Author(s):  
P. Catravas ◽  
K. Bubriski ◽  
M. D. Frey ◽  
M. E. Hagerman ◽  
B. Cohen ◽  
...  
Keyword(s):  
Social Sciences ◽  
Electron Microscopy ◽  
Undergraduate Students ◽  
Visual Arts ◽  
Mechanical Engineering ◽  
Electrical Engineering ◽  
Computer Engineering ◽  
Wide Range ◽  
Education And Outreach ◽  
Microscopy Images

NanoGrande is the culmination of an art-science effort that brought undergraduate students and faculty from science, engineering, and the visual arts together with professional microscopists of the Capital District Microscopy and Microanalysis Society for electron microscopy education and outreach. Students from two independent undergraduate courses, an advanced photography course and a microscopy laboratory course, collaborated on the project. The participants represented a wide range of majors, including chemistry, biology, electrical engineering, computer engineering, mechanical engineering, bioengineering, psychology, neuroscience, sociology/social sciences, history, and the visual arts. Emphasis was placed on both the scientific and the artistic aspects of the imaging process. The creation of electron microscopy images that were at the same time scientifically meaningful and visually compelling depended critically on communication of insights and ideas between paired students. The collaboration generated an art-science exhibition, NanoGrande, that has been presented to over four-thousand K through 12 students.

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