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Situation-Aware multi-Agent system for disaster relief operations management
Gabriel Jakobson
author
Nandan Parameswaran
author
John Buford
author
Lundy Lewis
author
Pradeep Ray
author
2006
Royal Flemish Academy of Belgium
Newark, NJ
English
Natural and human-made disasters create unparalleled challenges to Disaster Situation Management (DSM). One of the major weaknesses of the current DSM solutions is the lack of comprehensive understanding of the overall disaster operational situation, and very often making decisions based on a single event. Such weakness is clearly exhibited by the solutions based on the widely used Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). In this work we present the adaptation of the AESOP situation management architecture to address the requirements of disaster relief operations. In particular, we extend the existing BDI model with the capability of situation awareness. We describe how the key functions of event collection, situation identification, and situation assessment are implemented in MAS architecture suitable to the characteristics of large-scale disaster recovery. We present the details of a BDI agent in this architecture including a skeleton ontology, and the distributed service architecture of the AESOP platform.
Architecture
Disasters
Information systems
Multi agent systems
BDI Agent
Belief-desire-intention models
Disaster relief operations
Disaster situations
Large-scale disasters
Situation assessment
Situation identifications
Situation management
Disaster prevention
exported from refbase (http://idl.iscram.org/show.php?record=617), last updated on Sun, 09 Aug 2015 11:41:14 +0200
text
http://idl.iscram.org/files/jakobson/2006/617_Jakobson_etal2006.pdf
GabrielJakobson_etal2006
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management
ISCRAM 2006
B. Van de Walle
M
Turoff
editor
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
2006
Royal Flemish Academy of Belgium
Newark, NJ
conference publication
313
324
9090206019; 9789090206011
2411-3387
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