Modeling Malaria with Multi-Agent Systems

Rateb, Fatima; Pavard, Bernard; Bellamine-BenSaoud, Narjès; Merelo, J. J.; Arenas, M. G.

doi:10.4018/jiit.2005040102

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…In ABM, interesting and revealing overall patterns often emerge from interactions of a large number of autonomous agents that have simple behaviors (Davidsson, 2002;Li, 2008). ABM has been employed to study a wide range of topics, such as the spread of disease (Rateb, Pavard, Bellamine-BenSaoud, Merelo, & Arenas, 2005), emergency personnel evacuation (Manley & Kim, 2012), and information sharing in business-to-business electronic marketplaces (Zhang & Bhattacharyya, 2010).…”

Section: Agent-based Modelingmentioning

confidence: 99%

Identifying Influencers in Online Social Networks

Zhang

Wang

2013

International Journal of Intelligent Information Technologies

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Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criterion for influencer identification on OSNs. Results show that identifying influencers by the number of strong connections that a user has is superior to doing so by the total number of connections when the strength of strong connections is relatively high compared to that of weak connections or there is a relatively high percentage of strong connections between users. Implications of the results are discussed.

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Section: Agent-based Modelingmentioning

confidence: 99%

Identifying Influencers in Online Social Networks

Zhang

Wang

2013

International Journal of Intelligent Information Technologies

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“…Consequently, ABM has been successfully used to simulate a wide variety of complex systems including infectious disease epidemiology (Rateb, Pavard, Bellamine-BenSaoud, Merelo, & Arenas, 2005), the growth and decline of ancient societies (Kohler, Gumerman, & Reynolds, 2005) and knowledge acquisition models (Lai, Wang, He, & Wang, 2008). Within the management domain, ABM has been used to study an equally wide variety of topics (Langdon, 2005).…”

Section: Literature Reviewmentioning

confidence: 99%

“…This value represents the seating capacity available for several common events including end-stage concerts, hockey or ice floor shows, and dirt shows such as motocross and monster truck demonstrations (Energy Solutions Arena, n.d.). The prevalence and diversity of individuals with disabilities was assigned based on distributions defined by U.S. Census Bureau values (2003), i.e., 86% non-disabled, 3% motorized wheel chair, 3% non-motorized wheel chair, 1.5% hearing impaired, 5% lower stamina, and 1.5% visually impaired. The criteria for speed, size, and ability to negotiate obstacles was assigned according to empirical data when available (Boyce, Shields, & Silcock, 1999;Wright, Cook, & Webber, 1999) and accessibility axioms when not.…”

Section: Objectivementioning

confidence: 99%

Exitus

Manley

Kim

2012

International Journal of Intelligent Information Technologies

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Emergency evacuation of critical infrastructure assets such as sports arenas is an important consideration given the continuing threat of terrorist attacks which inordinately affect them. In this paper, the authors present an agent-based evacuation model which may be used to support private sector organizations with capabilities-based planning efforts surrounding likely terrorist attack scenarios. The model is distinguished by its explicit consideration of individuals with disabilities in respect to the characteristics influencing their ability to negotiate surroundings. The results of an experiment simulating the truck bombing of an intermountain west sports arena reveal special areas of concern for arena managers and identify those who are most at risk or individuals with lower stamina. Ultimately, the model can be used to inform policymakers of more effective, evidence-based evacuation planning methods based on a better understanding of the behavior of heterogeneous populations during emergency situations.

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“…Our own previous works in the design of such organisations, e.g. Air Traffic Control, emergency medical control room, and space control centres, used a multi agent simulation approach in order to empirically study the advantages and disadvantages of complex emergent organisations [24]. From these studies we were able to use these multi-agent models to design complex control rooms [23].…”

Section: Introductionmentioning

confidence: 99%

Coupling agent based simulation with dynamic networks analysis to study the emergence of mutual knowledge as a percolation phenomenon

et al. 2016

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The emergence of mutual knowledge is a major cognitive mechanism for the robustness of complex socio technical systems. It has been extensively studied from an ethnomethodological point of view and empirically reproduced by multi agent simulations. Whilst such simulations have been used to design real work settings the underlying theoretical grounding for the process is vague. The aim of this paper is to investigate whether the emergence of mutual knowledge (MK) in a group of colocated individuals can be explained as a percolation phenomenon. The followed methodology consists in coupling agent-based simulation with dynamic networks analysis to study information propagation phenomena: after using an agent-based simulation we generated and then analysed its traces as networks where agents met and exchanged knowledge. Deep analysis of the resulting networks clearly shows that the emergence of MK is comparable to a percolation process. We specifically focus on how changes at the microscopic level in our agent based simulator affect percolation and robustness. These results therefore provides theoretical basis for the analysis of social organizations.

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Modeling Malaria with Multi-Agent Systems

Cited by 10 publications

References 6 publications

Identifying Influencers in Online Social Networks

Identifying Influencers in Online Social Networks

Exitus

Coupling agent based simulation with dynamic networks analysis to study the emergence of mutual knowledge as a percolation phenomenon

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