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

Who Goes First? An Examination of th...

Comer, Kenneth W.

Linked to FindBook

Google Book

Amazon

博客來

Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models./
Author:	Comer, Kenneth W.
Description:	172 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.
Contained By:	Dissertation Abstracts International75-10B(E).
Subject:	Operations Research. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3623940
ISBN:	9781303968204

Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models.
Comer, Kenneth W.

Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models. - 172 p.

Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.

Thesis (Ph.D.)--George Mason University, 2014.

In the design process of an agent-based model the pattern chosen for the activation of the agents is an important choice. Every model design must include - either explicitly or implicitly - the conditions under which each agent will call its methods and update its state. Often, however, this is not described in literature and some model designers do not even make this design decision explicitly. Three agent-based models described in the literature in three separate domains were replicated and the impact of various activation schemes on the emergent population patterns and dynamics was analyzed. It was demonstrated that the choice of activation type is important for the outcome behavior of the model and should be stipulated in any published description of an agent-based model. In some experiments the differences noted, while significant, were only statistical. In others they led to substantial differences in either outcomes or model behavior. Further investigation showed that sophisticated activation schemes can become powerful tools to produce unexpected or unpredicted behavior of multi-agent systems. Thus, activation becomes more than an inconvenient detail to be dealt with during design, and is shown to be a source of exploratory variation as modelers of self-organizing social systems seek to match the behavior of natural systems.

ISBN: 9781303968204Subjects--Topical Terms:

626629
Operations Research.

Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models.
LDR:02253nam a2200277 4500 001 1967083
005 20141112075759.5
008 150210s2014 ||||||||||||||||| ||eng d
020 $a 9781303968204
035 $a (MiAaPQ)AAI3623940
035 $a AAI3623940
040 $a MiAaPQ $c MiAaPQ
100 1 $a Comer, Kenneth W. $3 2104011
245 1 0 $a Who Goes First? An Examination of the Impact of Activation on Outcome Behavior in Agent-based Models.
300 $a 172 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-10(E), Section: B.
500 $a Adviser: Andrew G. Loerch.
502 $a Thesis (Ph.D.)--George Mason University, 2014.
520 $a In the design process of an agent-based model the pattern chosen for the activation of the agents is an important choice. Every model design must include - either explicitly or implicitly - the conditions under which each agent will call its methods and update its state. Often, however, this is not described in literature and some model designers do not even make this design decision explicitly. Three agent-based models described in the literature in three separate domains were replicated and the impact of various activation schemes on the emergent population patterns and dynamics was analyzed. It was demonstrated that the choice of activation type is important for the outcome behavior of the model and should be stipulated in any published description of an agent-based model. In some experiments the differences noted, while significant, were only statistical. In others they led to substantial differences in either outcomes or model behavior. Further investigation showed that sophisticated activation schemes can become powerful tools to produce unexpected or unpredicted behavior of multi-agent systems. Thus, activation becomes more than an inconvenient detail to be dealt with during design, and is shown to be a source of exploratory variation as modelers of self-organizing social systems seek to match the behavior of natural systems.
590 $a School code: 0883.
650 4 $a Operations Research. $3 626629
650 4 $a Engineering, System Science. $3 1018128
690 $a 0796
690 $a 0790
710 2 $a George Mason University. $b Systems Engineering. $3 2092216
773 0 $t Dissertation Abstracts International $g 75-10B(E).
790 $a 0883
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3623940