scholarly journals Organizational information security as a complex adaptive system: insights from three agent-based models

2015 ◽  
Vol 19 (3) ◽  
pp. 509-524 ◽  
Author(s):  
A. J. Burns ◽  
Clay Posey ◽  
James F. Courtney ◽  
Tom L. Roberts ◽  
Prabhashi Nanayakkara
Keyword(s):  
Information Security ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Agent Based Models ◽  
Agent Based ◽  
Organizational Information ◽  
Complex Adaptive

Application of Modeling and Simulation Based on Agent

2015 ◽  
Vol 740 ◽  
pp. 939-942
Author(s):  
Yan Hua Shao
Keyword(s):  
Modeling And Simulation ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Computational Finance ◽  
Competitive Behavior ◽  
Agent Based ◽  
Applied Model ◽  
Simulation Based ◽  
Complex Adaptive ◽  
Evolution Modeling

In order to solve the limitation of the research about enterprise evolution modeling and simulation, the idea of applying complex adaptive system theory and agent-based computational finance method to the enterprise research was proposed. Secondly, an applied model of Agent-based enterprise evolution was built. Finally, the simulation program of enterprise evolution based on swarm was built, which simulate the dynamic competitive behavior and evolvement of enterprise, the result of the simulation was analyzed.

Agent-Based Models

2018 ◽  
Author(s):  
Brenda Heaton ◽  
Abdulrahman El-Sayed ◽  
Sandro Galea
Keyword(s):  
Computational Models ◽  
Autonomous Agents ◽  
Complex Adaptive System ◽  
Agent Based Modeling ◽  
Agent Based Models ◽  
Agent Based ◽  
Or Groups ◽  
Complex Adaptive ◽  
Adaptive Processes ◽  
Neighborhoods And Health

Agent-based modeling is a newer approach to the study of neighborhoods and health. In brief, an agent-based model is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities, such as organizations or groups) with a view to assessing their effects on the system as a whole. Neighborhood characteristics and resources evolve and adapt as the individuals living within them change and vice versa. In this way, neighborhoods reflect a complex adaptive system. In this chapter, we introduce agent-based models as a tool for modeling these interactive and adaptive processes that occur within a system, such as a neighborhood. The chapter provides a basic introduction to this method, drawing on examples from the neighborhoods and health literature.

C2 Model of Agent-Based Radar Network

2013 ◽  
Vol 347-350 ◽  
pp. 1063-1067
Author(s):  
Zao Zhang ◽  
Guang Ya Si
Keyword(s):  
Adaptive System ◽  
Complex Adaptive System ◽  
Command And Control ◽  
Agent Based ◽  
Radar Network ◽  
Complex Adaptive ◽  
And Control ◽  
Made In

Radar network is a typical complex adaptive system (CAS). The command and control (C2) of radar network plays a big part in improving the quality of the acquired data and the anti-damage ability of radar network. On the basis of analyzingradar networkcombat process,a method based on Agent was proposed to establish command and control (C2) modelof radar network.The structure of the Agent was put forward and based on that, theadaptive C2 model was represented as a 6-tuple system.The simulation experimentwas made in the presumed background and the results showed that the modeling of adaptive command and control of radar network was implemented.

An Adaptive Algorithm for Forest Fire Spread Based on Genetic Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2842-2845
Author(s):  
Chun Yuan Chang
Keyword(s):  
Forest Fire ◽  
Adaptive Algorithm ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Fitness Function ◽  
Fire Spread ◽  
Agent Based Model ◽  
Agent Based ◽  
Complex Adaptive ◽  
Adaptive Ability

The spread of forest fire is a complex adaptive system. The spread could be seen as the result of fire agents continuous learning, adaptation and co-ordination. This paper founded an Agent-based model for forest fire spread, modeled the generating of fire spread rules based on Genetic Algorithms. Created the spread rules with effect of wind and topography independently for forest fire, designed the fitness function, and took the genetic operation on the rules, which created new rules. Implemented the adaptive algorithm on Repast S, and used it in the Agent-based model of forest fire spread. The result of models running indicated the adaptive algorithm could improve the adaptive ability of fire agent.

Hybridität als Motor und als Ergebnis von Sprachwandel

Glottotheory ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Csaba Földes
Keyword(s):  
Language Development ◽  
Cultural Production ◽  
Language Change ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Explanatory Variable ◽  
Essential Factor ◽  
Language Functions ◽  
Complex Adaptive ◽  
Linguistic Innovation

AbstractThis paper deals with constellations in which, as consequences of linguistic interculturality, elements of two or more languages encounter each other and result in something partially or completely new, an – occasionally temporary – “third quality”, namely hybridity. The paper contributes to the meta-discourse and theory formation by questioning the concept, term and content of “linguistic hybridity”. It also submits a proposal for a typology of linguistic-communicative hybridity that consists of the following prototypical main groups, each with several subtypes: (1) language-cultural, (2) semiotic, (3) medial, (4) communicative, (5) systematic, (6) paraverbal and (7) nonverbal hybridity. At last, the paper examines hybridity as an explanatory variable for language change. In conclusion, hybridity is generally a place of cultural production, with special regard to communication and language it is potentially considered as an incubator of linguistic innovation. Hybridity can be seen as the engine and as the result of language change, or language development. It represents an essential factor by which language functions and develops as a complex adaptive system. Hybridity operates as a continuous cycle. By generating innovation, it triggers language change, which in turn, leads to further and new hybridizations. The processuality of hybridity creates diversity, while at the same time it can cause the vanishing of diversity.

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