scholarly journals Agent-Based Supernetworks Model of University Knowledge System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ye-Qing Zhao
Keyword(s):  
Complex Adaptive System ◽  
Experimental Studies ◽  
Knowledge Diffusion ◽  
Knowledge System ◽  
Diffusion Method ◽  
Dynamic Complexity ◽  
Agent Based ◽  
Complex Adaptive ◽  
Synthetic Datasets ◽  
Definition Of

A novel supernetworks framework of knowledge system based on complex networks is proposed for presenting the multidimensional, multilevel, dynamic complexity characteristics and initiative, adaptability, and purposefulness of knowledge mainbody in the university. This model differs from the existing knowledge diffusion method. In order to make good use of abundant information of the mainbody and improve the performance of knowledge diffusion, agent-based model and supernetworks method are adopted to exploit the complex correlation among the knowledge mainbody, knowledge carrier, and knowledge element. Firstly, the agent-based supernetworks model of knowledge diffusion was established by use of complex adaptive system theory and supernetworks analysis method. Secondly, the multilevel structure definition of supernetworks and knowledge networks of mainbody, element, and carrier in the knowledge system were described in detail. Thirdly, for verifying the validity of the model, a local search operator was designed, which can improve the effectiveness and efficiency of knowledge diffusion. Experimental studies based on synthetic datasets show that the proposed method can exhibit good performance, especially providing theoretical and practical guidance for establishing harmonious relationship between students and teachers.

scholarly journals The Complex Adaptive System Principles model for bilingualism: Language interactions within and across bilingual minds

2018 ◽  
Vol 23 (6) ◽  
pp. 1223-1248 ◽  
Author(s):  
Luna Filipović ◽  
John A Hawkins
Keyword(s):  
Language Processing ◽  
Language Change ◽  
Complex Adaptive System ◽  
Factor Model ◽  
Research Question ◽  
Empirical Studies ◽  
Experimental Studies ◽  
Lexical Priming ◽  
Bilingual Speakers ◽  
Complex Adaptive

Aims and objectives/purpose/research question: We propose a model that captures general patterns in bilingual language processing, based on empirical evidence elicited in a variety of experimental studies. We begin by considering what linguistic outputs are logically possible when bilingual speakers communicate based on the typological features of two languages in the bilingual mind. Our aim is to explain why some outputs are more frequent or more likely than others in bilingual language use. Design/methodology/approach: Our empirically derived multi-factor model combines insights from various empirical studies of different bilingual populations and it includes a variety of methodologies and approaches, such as lexical categorisation, lexical priming, syntactic priming, event verbalisation and memory, historical language change, grammaticality judgments and observational reports. Data and analysis: We critically discuss both lexical and syntactic processing data, as well as data that reflect bilingual type differences and different communicative situations (i.e. who the bilingual speakers are talking to and for what purpose). Crucially, we explain when the relevant factors collaborate and when they compete. Originality: There are three main reasons why this paper can be deemed original: 1) it offers a unified model for understanding bilingual language processing that is not focused on a single factor or a single linguistic level, as has most often been the case in the past; 2) it brings together the study of bilingualism from both psycholinguistic and sociolinguistic perspectives and in a unifying fashion, which is rare in the literature; and 3) it creates a platform for testing numerous predictions that are not dependent on any one theory. Significance/implications: This new model opens up new avenues for research into bilingual language processing for all types of bilingual speakers and in different communicative situations. It captures and explains the variety of outputs in bilingual communication and enables us to make predictions about communicative outcomes.

scholarly journals System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

2018 ◽  
Vol 10 (7) ◽  
pp. 2484 ◽  
Author(s):  
Zhikun Ding ◽  
Wenyan Gong ◽  
Shenghan Li ◽  
Zezhou Wu
Keyword(s):  
Waste Management ◽  
System Dynamics ◽  
Complex Adaptive System ◽  
Agent Based Modeling ◽  
Effective Management ◽  
Construction Waste ◽  
Agent Based ◽  
Complex Adaptive ◽  
Research Findings ◽  
Novel Model

The environmental impacts caused by construction waste have attracted increasing attention in recent years. The effective management of construction waste is essential in order to reduce negative environmental influences. Construction waste management (CWM) can be viewed as a complex adaptive system, as it involves not only various factors (e.g., social, economic, and environmental), but also different stakeholders (such as developers, contractors, designers, and governmental departments) simultaneously. System dynamics (SD) and agent-based modeling (ABM) are the two most popular approaches to deal with the complexity in CWM systems. However, the two approaches have their own advantages and drawbacks. The aim of this research is to conduct a comprehensive review and develop a novel model for combining the advantages of both SD and ABM. The research findings revealed that two options can be considered when combining SD with ABM; the two options are discussed.

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

scholarly journals FISHERMEN ECOLOGICAL KNOWLEDGE AND COMPLEX ADAPTIVE SYSTEMS: AN INTERPRETATIVE MODEL FOR SMALL-SCALE FISHERIES

2019 ◽  
Vol 22 ◽  
Author(s):  
Luciana Loto ◽  
Ronaldo Lobão ◽  
Edson Pereira Silva ◽  
Cassiano Monteiro-Neto
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Marine Biology ◽  
Complex Adaptive System ◽  
Small Scale ◽  
Ecological Knowledge ◽  
Small Scale Fisheries ◽  
Complex Adaptive ◽  
Definition Of ◽  
Interpretative Model

Abstract The fishermen ecological knowledge (FEK) encompasses information on biology of species and climatic and oceanographic changes, all related with schools of fish and its capture. It incorporates a complex set of codes and signs, which are constantly updated and transmitted orally thorough generations. In this sense, FEK presents characteristics such as diversity and ability to learn from experience, which are in conformity with the definition of a complex adaptive system (CAS). Based on this assumption, this work proposes to structure and interpret FEK as a CAS. It is supported that such approach can promote the exchange of information among areas, which are other way considered incommensurable (anthropology, oceanography, marine biology, meteorology etc.), and also among formal sciences and the FEK. However, CAS is a structure designed with heuristic goals associated with mathematical modeling what is beyond the aims of this work, which uses CAS only as a structuring metaphor.

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.

scholarly journals Guidelines for Analysing Coastal Flood Protection Systems after a Submersion

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 15
Author(s):  
Marc Igigabel ◽  
Yves Nédélec ◽  
Nathalie Bérenger ◽  
Nicolas Flouest ◽  
Alexis Bernard ◽  
...  
Keyword(s):  
Complex Adaptive System ◽  
Atlantic Coast ◽  
Fish Farming ◽  
Flood Protection ◽  
Urban Networks ◽  
Coastal Flood ◽  
Protection Systems ◽  
Geographical Scale ◽  
Complex Adaptive ◽  
Definition Of

Storm Xynthia, which hit the French Atlantic coast on February 28th, 2010, flooded vast territories despite coastal defences. This disaster highlighted the need to further study the behaviour of the coastal flood protection systems at an adapted geographical scale by considering the kinematics of the events. This objective has been achieved through a combination of conceptual input on the definition of protection systems, significant breakthroughs in the knowledge of the mechanisms governing the flooding, and via the improvement of strategies and methods dedicated to flood analysis and representation. The developed methodology was successfully tested on four sites submerged during Xynthia (Loix, Les Boucholeurs, and Boyardville, located in Charente-Maritime, and Batz-sur-Mer, located in Loire-Atlantique). This work is intended to guide the diagnosis of sites prone to marine flooding from the first investigations until the delivery of study reports. Beyond the usual focus on hydraulic structures, it provides guidelines to better analyse the interactions with the natural environment (sea, soil, dune, wetlands, etc.) and with the built environment (roads and urban networks, ponds used for fish farming, buildings, etc.). This systemic approach, which is applied to a territory considered as a complex adaptive system, is fundamental to understanding the reaction of a territory during a marine submersion event and subsequently developing adaptation or transformation strategies.

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.

Guanxi as a complex adaptive system: definition, description and underlying principals

2014 ◽  
Vol 8 (2) ◽  
pp. 81-103 ◽  
Author(s):  
Artemis Chang ◽  
Carlin Guo ◽  
Roxanne Zolin ◽  
Xiaohua Yang
Keyword(s):  
Chinese Culture ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Cultural Practice ◽  
Content Type ◽  
Evolving Networks ◽  
Complex Adaptive ◽  
Four Levels ◽  
Definition Of ◽  
The Way

Purpose – The purpose of this paper is to critically review the extant guanxi literature to identify the major inconsistencies in the way guanxi is currently conceptualized. The authors develop a conceptualization of guanxi which views guanxi as a complex adaptive system. Design/methodology/approach – Electronic databases were queried for the keyword guanxi. This study offers an extensive review of the current literature, highlighting four major inconsistencies, namely, the breadth, linguistic-cultural depth, temporality and level of the conceptualization and analyses of guanxi. Findings – In reviewing the extant literature, the authors find four levels of inconsistency that contribute to a lack of clarity in the way guanxi is conceptualized. They define guanxi as a complex adaptive system involving a dynamic formed by the strategic establishing, evolving, utilizing and maintaining of personal relationships based on social norms of trust and reciprocal obligation unique to the Chinese culture. Research limitations/implications – This approach has the advantage of capturing the dynamic and emerging nature of guanxi over time, while encompassing the underlying principles of the evolving networks as part of the definition. Practical implications – The authors' new definition makes it easier to explain to people of other cultures. The appropriate level of breadth allows guanxi to be distinguished from associated concepts. This provides guidance for non-Chinese people to help understand guanxi and avoid cross-cultural misunderstandings and conflict. Originality/value – Having a clear and inclusive definition of the cultural practice of guanxi will integrate the growing literature and theoretical dialogue surrounding the phenomena. This will allow for consistent study of guanxi and its underlying principles, making integration of the various studies conceptually easier.

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.

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