Paper Info
Title
Modeling Of Biological Immune System Mapped On Situation Awareness Model
Abstract
Situation Awareness (SA) is a fundamental characteristic for a system. For understanding the effective parameters in SA, by describing the Biological immune System, a model for behavior of antibody are proposed. Furthermore, four levels of Endsley Model of SA (EMSA) will be described and SA process in the proposed model will compared and mapped on EMSA. For simulating the proposed model a notation for agents are introduced and some parameters of two main categories in SA are presented. By running the simulation in different cases, the effect of memory, learning ability and communication in SA of each agent will be illustrated and compared. The results emphasize on importance of learning and communication in SA and robustness of a system. By recognizing the important parameters of SA, designing and implementation of self-aware system would be possible. (c) 2013 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2013
10.1016/j.procs.2013.06.153
4TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2013), THE 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2013)
Keywords
Field
DocType
Antibody, Biological Immune System, Endsley Model of Situation Awareness, Situation Awareness
Notation,Computer science,Situation awareness,Biological immune system,Robustness (computer science),Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
19
1877-0509
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Touraj Banirostam183.35
Hossein Parvar221.05