Records |
Author |
Ana C. Calderon; Joanne Hinds; Peter Johnson |
Title |
IntCris: A tool for enhanced communication and collective decision-making during crises |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
205-214 |
Keywords |
Computational grammars; Disasters; Hurricanes; Information systems; Autonomous systems; Collaborative technologies; Collective decision-making; Collective intelligences; Decision making process; Emergency response; Hurricane katrina; Large-scale disasters; Decision making |
Abstract |
Responding to a large-scale disaster such as an earthquake or hurricane is a collective problem. Human agents are increasingly collaborating with non-human agents (autonomous systems) in attempt to respond to a disaster. IntCris is a prototype intended to bring together interaction for human and non-human agents to aid the decision-making process by focusing on how to facilitate the “correct information to the correct agent” problem as well as encouraging new and agile behaviour. We focus on three categories of information: command, report and personal with a formal grammar to accompany the implementation. The requirements for the software were inspired by real life case studies from Hurricane Katrina, the Fukoshima Nuclear Disaster and Hurricane Sandy. The contribution of this work is to advance technology that brings together HAS (human and autonomous system interaction), in addition to enhancing collective intelligence. |
Address |
University of Bath, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Decision Support Systems |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
361 |
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Author |
Bernard Van Veelen; Patrick Storms; Chris J. Van Aart |
Title |
Effective and efficient coordination strategies for agile crisis response organizations |
Type |
Conference Article |
Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
Volume |
|
Issue |
|
Pages |
202-213 |
Keywords |
Knowledge based systems; Agent-based systems; Autonomous systems; Coordination; Organization and management; Self management; Quality of service |
Abstract |
Agile crisis response organizations can be seen as actor-Agent communities, where artificial coordination strategies are applied to manage activities. This paper provides a classification of artificial coordination strategies, specified in terms of the Rasmussen's three-level model for supervisory control: skill, rule and knowledge based. Three distinct strategies to artificial coordination based on Rasmussen's levels are described. These approaches are applied in a small case study related to the problem of medic-casualty allocation in the crisis response domain. In terms of effectiveness and efficiency, the knowledge-level coordination strategies seem to be the most effective, where the skill-level strategies are the most efficient. Concerning flexibility there is a reverse trade-off with efficiency. Opposed to skill-level strategies, knowledge-level strategies easily adjust to changing operational requirements. On all aspects, the performance of rule-level strategies is in-between knowledge-level and skill-level strategies. The results of this work can be used to improve the performance and effectiveness of actor-Agent communities for mission critical applications. |
Address |
DECIS Lab, Netherlands |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
Track |
COMMAND AND CONTROL |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1047 |
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