Name
Abstract | ||
|---|---|---|
A review of the theory and methods for modeling improvisational decision-making in emergency management shows that there is no generally accepted normative model to explain intuitive human judgments under uncertain in a dynamic environment. This paper suggests the design of an improvisational decision-making agent based on Non-Axiomatic Reasoning System. First, we investigate the characteristics of improvisational decision-making, then the main factors of constructing improvisational agent are discussed. After introducing Non-Axiomatic Reasoning System, we illustrate the proposed model using an example of a fire response plan making by the proposed agent. This example shows that the proposed model will provide a sound basis for an adaptive, self-learning and real-time approach for intelligent decision-support system in crisis situations. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WI-IAT.2014.189 | IAT), 2014 IEEE/WIC/ACM International Joint Conferences |
Keywords | Field | DocType |
decision making,emergency management,inference mechanisms,multi-agent systems,adaptive self-learning,crisis situations,dynamic environment,emergency management,improvisational decision-making agent modeling,intelligent decision-support system,intuitive human judgments,nonaxiomatic reasoning system,normative model,real-time approach,Agent-based approach,Crisis Situations,Decision making,Extreme Events,Improvisation,Non-Axiomatic Reasoning System | Improvisation,Extreme events,Axiom,Emergency management,Normative model of decision-making,Artificial intelligence,Engineering,Cognition,Reasoning system | Conference |
Volume | ISBN | Citations |
3 | 978-1-4799-4143-8-03 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Slam, N. | 1 | 0 | 0.34 |
| Wang WenJun | 2 | 21 | 8.14 |
| Pei Wang | 3 | 21 | 5.09 |