1.1
1
xml
info:srw/schema/1/mods-v3.2
An agent-based approach for safety analysis of safety-critical organizations
Alexei Sharpanskykh
author
2012
Simon Fraser University
Vancouver, BC
English
Modern safety-critical organizations are characterized by complex, nonlinear dynamics involving many interrelated actors and processes. Safety issues that emerge from these complex dynamics increasingly remain hidden, until an incident or even a serious accident occurs. Traditional safety analysis methods developed long ago for much simpler organizations cannot help identifying, explaining and predicting many safety-related properties of modern organizations. To address this issue, in the paper a formal approach is proposed to establish relations between local dynamics of actors of a complex safety-critical organization and global safetyrelated properties that emerge from these dynamics. In contrast to the traditional approaches, the organizational dynamics are specified by taking the agent perspective with an organizational layer. The application of the approach is illustrated by a simulation case study, in which spread of safety-critical information in an air navigation service provider is investigated. © 2012 ISCRAM.
Dynamics
Information systems
Multi agent systems
Societies and institutions
Agent-based approach
Air navigation service providers
Complex dynamics
Emergence
Organization model
Organizational dynamics
Safety analysis
Traditional approaches
Safety engineering
exported from refbase (http://idl.iscram.org/show.php?record=205), last updated on Wed, 05 Aug 2015 11:30:19 +0200
text
http://idl.iscram.org/files/sharpanskykh/2012/205_Sharpanskykh2012.pdf
AlexeiSharpanskykh2012
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2012
L. Rothkrantz
J
Ristvej
editor
9th International ISCRAM Conference on Information Systems for Crisis Response and Management
2012
Simon Fraser University
Vancouver, BC
conference publication
9780864913326
2411-3387
1