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Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework
Joint Authors
Russo, Giulia
Motta, Santo
Pappalardo, Francesco
Pennisi, Marzio
Chiacchio, Ferdinando
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Several components that interact with each other to evolve a complex, and, in some cases, unexpected behavior, represents one of the main and fascinating features of the mammalian immune system.
Agent-based modeling and cellular automata belong to a class of discrete mathematical approaches in which entities (agents) sense local information and undertake actions over time according to predefined rules.
The strength of this approach is characterized by the appearance of a global behavior that emerges from interactions among agents.
This behavior is unpredictable, as it does not follow linear rules.
There are a lot of works that investigates the immune system with agent-based modeling and cellular automata.
They have shown the ability to see clearly and intuitively into the nature of immunological processes.
NetLogo is a multiagent programming language and modeling environment for simulating complex phenomena.
It is designed for both research and education and is used across a wide range of disciplines and education levels.
In this paper, we summarize NetLogo applications to immunology and, particularly, how this framework can help in the development and formulation of hypotheses that might drive further experimental investigations of disease mechanisms.
American Psychological Association (APA)
Chiacchio, Ferdinando& Pennisi, Marzio& Russo, Giulia& Motta, Santo& Pappalardo, Francesco. 2014. Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework. BioMed Research International،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-507102
Modern Language Association (MLA)
Chiacchio, Ferdinando…[et al.]. Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework. BioMed Research International No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-507102
American Medical Association (AMA)
Chiacchio, Ferdinando& Pennisi, Marzio& Russo, Giulia& Motta, Santo& Pappalardo, Francesco. Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-507102
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507102