東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling and simulation of multi-age...

Sharma, Sharad.

Linked to FindBook

Google Book

Amazon

博客來

Modeling and simulation of multi-agent systems for emergency scenarios.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling and simulation of multi-agent systems for emergency scenarios./
Author:	Sharma, Sharad.
Description:	215 p.
Notes:	Adviser: Harpreet Singh.
Contained By:	Dissertation Abstracts International67-11B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3243078
ISBN:	9780542982729

Modeling and simulation of multi-agent systems for emergency scenarios.
Sharma, Sharad.

Modeling and simulation of multi-agent systems for emergency scenarios. - 215 p.

Adviser: Harpreet Singh.

Thesis (Ph.D.)--Wayne State University, 2006.

The evacuation behavioral model of human beings requires a more comprehensive approach in emergency situations. This thesis describes the proposed human behavior system that integrates both artificial intelligence and fuzzy logic parameters. Fuzzy logic is used in refining human emotional behavior by including fuzzy features such as stress, panic, smoke and anger. Humans are unpredictable when it comes to making decisions during emergency situations. This unpredictability is due to human behavior characteristics. The incorporation of the human behavioral model through the use of fuzzy parameters brings a sense of reality. This dissertation describes a new approach to model human behavior characteristics and represents them in a goal finding multi-agent environment. This thesis proposes an algorithm for evacuation scenarios based on geometric approach that realistically models the behavior of people using the choice of exit (favorite goal) and sub goals (intermediate goals). The simulation has agents following a safe trajectory and making appropriate decisions to avoid 198 collisions with static elements of the physical environment as well as with other mobile agents. The proposed research tool AvatarSim is developed in Java framework and can be displayed on a web browser. The model is extended to simulate battle field scenarios and airplane evacuation scenarios. The tool can be programmed with models that can be informed by an analysis of evacuation procedures and also by observations of human behavior during a real-time evacuations scenario. This thesis also proposes a fuzzy and neuro-fuzzy application for predicting the probability of an agent to reach its destination when fuzzy behavior characteristics like stress and panic are involved. The fuzzy system allows easy encoding of expert knowledge as a set of rules. The validation of the model was done through evacuation experimental studies performed at Wayne State University for comparison of proposed AvatarSim model predictions with reliable information from a real time evacuation drill. The results from the study prove that the evacuation time and flow rate of people were comparatively similar for AvatarSim when compared to real-time evacuation drill.

ISBN: 9780542982729Subjects--Topical Terms:

769149
Artificial Intelligence.

Modeling and simulation of multi-agent systems for emergency scenarios.
LDR:03139nam 2200289 a 45 001 968017
005 20110915
008 110915s2006 eng d
020 $a 9780542982729
035 $a (UMI)AAI3243078
035 $a AAI3243078
040 $a UMI $c UMI
100 1 $a Sharma, Sharad. $3 1291881
245 1 0 $a Modeling and simulation of multi-agent systems for emergency scenarios.
300 $a 215 p.
500 $a Adviser: Harpreet Singh.
500 $a Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6527.
502 $a Thesis (Ph.D.)--Wayne State University, 2006.
520 $a The evacuation behavioral model of human beings requires a more comprehensive approach in emergency situations. This thesis describes the proposed human behavior system that integrates both artificial intelligence and fuzzy logic parameters. Fuzzy logic is used in refining human emotional behavior by including fuzzy features such as stress, panic, smoke and anger. Humans are unpredictable when it comes to making decisions during emergency situations. This unpredictability is due to human behavior characteristics. The incorporation of the human behavioral model through the use of fuzzy parameters brings a sense of reality. This dissertation describes a new approach to model human behavior characteristics and represents them in a goal finding multi-agent environment. This thesis proposes an algorithm for evacuation scenarios based on geometric approach that realistically models the behavior of people using the choice of exit (favorite goal) and sub goals (intermediate goals). The simulation has agents following a safe trajectory and making appropriate decisions to avoid 198 collisions with static elements of the physical environment as well as with other mobile agents. The proposed research tool AvatarSim is developed in Java framework and can be displayed on a web browser. The model is extended to simulate battle field scenarios and airplane evacuation scenarios. The tool can be programmed with models that can be informed by an analysis of evacuation procedures and also by observations of human behavior during a real-time evacuations scenario. This thesis also proposes a fuzzy and neuro-fuzzy application for predicting the probability of an agent to reach its destination when fuzzy behavior characteristics like stress and panic are involved. The fuzzy system allows easy encoding of expert knowledge as a set of rules. The validation of the model was done through evacuation experimental studies performed at Wayne State University for comparison of proposed AvatarSim model predictions with reliable information from a real time evacuation drill. The results from the study prove that the evacuation time and flow rate of people were comparatively similar for AvatarSim when compared to real-time evacuation drill.
590 $a School code: 0254.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0771
690 $a 0800
690 $a 0984
710 2 0 $a Wayne State University. $3 975058
773 0 $t Dissertation Abstracts International $g 67-11B.
790 $a 0254
790 1 0 $a Singh, Harpreet, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3243078