z-logo
open-access-imgOpen Access
Modeling of Biological Immune System Mapped on Situation Awareness Model
Author(s) -
Touraj Banirostam,
Hossein Parvar
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.06.153
Subject(s) - computer science , robustness (evolution) , notation , process (computing) , artificial intelligence , machine learning , human–computer interaction , biochemistry , chemistry , arithmetic , mathematics , gene , operating system
ituation 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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom