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

SISTER: A symbolic interactionist s...

Duong, Deborah Vakas.

Linked to FindBook

Google Book

Amazon

博客來

SISTER: A symbolic interactionist simulation of trade and emergent roles.

Record Type:	Electronic resources : Monograph/item
Title/Author:	SISTER: A symbolic interactionist simulation of trade and emergent roles./
Author:	Duong, Deborah Vakas.
Description:	112 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.
Contained By:	Dissertation Abstracts International65-03B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126862
ISBN:	0496741403

SISTER: A symbolic interactionist simulation of trade and emergent roles.
Duong, Deborah Vakas.

SISTER: A symbolic interactionist simulation of trade and emergent roles. - 112 p.

Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.

Thesis (Ph.D.)--George Mason University, 2004.

SISTER, a Symbolic Interactionist Simulation of Trade and Emergent Roles, captures the fundamental social process by which macro level roles emerge from micro level symbolic interaction. SISTER may be used for the computational social science objective of modeling social coordination in human societies, or for the artificial intelligence objective of coordinating coevolving agents in artificial societies. The knowledge in a SISTER society is held culturally, suspended in the mutual expectations agents have of each other based on signs (tags) that they read and display. In this study, this knowledge includes how to create complex goods. The knowledge of coordinating their creation arises endogenously. A symbol system emerges to denote these tasks. In terms of information theory, the degree of mutual information between the agent's signs (tags) and their behavior increases over time. In SISTER societies, mutual information can grow endogenously and be maintained robustly, even when agents die and are replaced, or are spread out over space.

ISBN: 0496741403Subjects--Topical Terms:

626642
Computer Science.

SISTER: A symbolic interactionist simulation of trade and emergent roles.
LDR:03173nmm 2200325 4500 001 1846405
005 20051103093505.5
008 130614s2004 eng d
020 $a 0496741403
035 $a (UnM)AAI3126862
035 $a AAI3126862
040 $a UnM $c UnM
100 1 $a Duong, Deborah Vakas. $3 1934519
245 1 0 $a SISTER: A symbolic interactionist simulation of trade and emergent roles.
300 $a 112 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1398.
500 $a Director: John Grefenstette.
502 $a Thesis (Ph.D.)--George Mason University, 2004.
520 $a SISTER, a Symbolic Interactionist Simulation of Trade and Emergent Roles, captures the fundamental social process by which macro level roles emerge from micro level symbolic interaction. SISTER may be used for the computational social science objective of modeling social coordination in human societies, or for the artificial intelligence objective of coordinating coevolving agents in artificial societies. The knowledge in a SISTER society is held culturally, suspended in the mutual expectations agents have of each other based on signs (tags) that they read and display. In this study, this knowledge includes how to create complex goods. The knowledge of coordinating their creation arises endogenously. A symbol system emerges to denote these tasks. In terms of information theory, the degree of mutual information between the agent's signs (tags) and their behavior increases over time. In SISTER societies, mutual information can grow endogenously and be maintained robustly, even when agents die and are replaced, or are spread out over space.
520 $a The SISTER society of this study is an economic simulation, in which agents have the choice of growing all the goods they need by themselves, or concentrating their efforts in making more of fewer goods and trading them for other goods. They induce the sign of an agent to trade with, while at the same time, they induce a sign to display. The signs come to mean sets of behaviors, or roles, through this double induction. A system of roles emerges, holding the knowledge of social coordination needed to distribute tasks amongst the agents. This knowledge is maintained despite the stresses of the death and dislocation of individual agents.
520 $a This dissertation contributes to artificial intelligence by demonstrating how agents may divide their labor in a task endogenously. It shows how a complex endogenous communication system can develop to coordinate a complex division of tasking. It also shows that with a SISTER algorithm in which agents die, coevolving systems can avoid convergence and continue to grow in knowledge. With the SISTER algorithm, robot societies can robustly continue to maintain their symbols and roles despite death and distance.
590 $a School code: 0883.
650 4 $a Computer Science. $3 626642
650 4 $a Sociology, Theory and Methods. $3 626625
650 4 $a Economics, Theory. $3 1017575
650 4 $a Artificial Intelligence. $3 769149
690 $a 0984
690 $a 0344
690 $a 0511
690 $a 0800
710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 65-03B.
790 1 0 $a Grefenstette, John, $e advisor
790 $a 0883
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3126862