TY - JOUR
T1 - Integrating scientific modeling and supporting dynamic hazard management with a GeoAgent-based representation of human-environment interactions
T2 - A drought example in Central Pennsylvania, USA
AU - Yu, Chaoqing
AU - MacEachren, Alan M.
AU - Peuquet, Donna J.
AU - Yarnal, Brent
N1 - Funding Information:
The authors gratefully acknowledge support of the Human–Environment Regional Observatory (HERO) project by the National Science Foundation (NSF Grant SBE-9978052, Brent Yarnal, Principal Investigator) and the GeoCollaborative Crisis Management (GCCM) project (NSF grant EIA-0306845, Alan MacEachren, Principle Investigator). MacEachren's contribution is also supported by a grant from the U.S. Department of Homeland Security supporting the North-East Visualization & Analytics Centre. We appreciate the help of Xinghua Han, Mark Gahegan, Rob Neff, Allyson Jacobs, Krista Kahler, and other GeoVISTA Center and HERO team members. Thanks also go to the anonymous reviewers for their insightful comments and suggestions. Human subject protection for social science research is under IRB No. 15986 at the Pennsylvania State University. The views expressed are the authors' and are not attributable to their employers or funding sources.
PY - 2009/12
Y1 - 2009/12
N2 - Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems. This research addresses this problem through a Java-based multi-agent prototype system, GeoAgent-based Knowledge System (GeoAgentKS). This system allows: (1) computer representation of institutional regulations and behavioral rules used by multiple social institutions and individuals in cross-level human-environment interactions, (2) integration of this representation with scientific modeling of dynamic hazard development, and (3) application of automated reasoning that suggests to users the appropriate actions for supporting cooperative social responses. This paper demonstrates the software architecture of GeoAgentKS and presents such an integrated approach by modeling the drought management processes in Central Pennsylvania, USA. The results show that it is possible to use GeoAgentKS to represent multilevel human-environment interactions and to use those interactions as input to decision making in hazard management.
AB - Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems. This research addresses this problem through a Java-based multi-agent prototype system, GeoAgent-based Knowledge System (GeoAgentKS). This system allows: (1) computer representation of institutional regulations and behavioral rules used by multiple social institutions and individuals in cross-level human-environment interactions, (2) integration of this representation with scientific modeling of dynamic hazard development, and (3) application of automated reasoning that suggests to users the appropriate actions for supporting cooperative social responses. This paper demonstrates the software architecture of GeoAgentKS and presents such an integrated approach by modeling the drought management processes in Central Pennsylvania, USA. The results show that it is possible to use GeoAgentKS to represent multilevel human-environment interactions and to use those interactions as input to decision making in hazard management.
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U2 - 10.1016/j.envsoft.2009.03.010
DO - 10.1016/j.envsoft.2009.03.010
M3 - Article
AN - SCOPUS:69249209911
SN - 1364-8152
VL - 24
SP - 1501
EP - 1512
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
IS - 12
ER -