The effect of heterogeneous agents in socio-cognitive networks

Changkun Zhao, Jui Te Tseng, Frank E. Ritter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many network simulations have used homogenous agents, that is, the population of agents is of one type. This study examined if heterogeneous agents created different socio-cognitive networks than homogeneous agents. Here, cognitive agents in a simple virtual world through their interactions formed networks. The agents were different in movement strategies and starting locations. We found that: (a) the difference between homogeneous agents and heterogeneous agents, and (b) the starting locations of agents, both affect network formation. The result of heterogeneous agents in network formation is different from the average results of homogeneous agents and indicates heterogeneity fundamentally changes network formation. Consequently, future network simulation should include heterogeneous agents.

Original languageEnglish (US)
Title of host publication23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference
PublisherBRIMS Committee
Pages65-72
Number of pages8
ISBN (Print)9781632665188
StatePublished - Jan 1 2014
Event23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference - Washington, DC, United States
Duration: Apr 11 2014Apr 14 2014

Publication series

Name23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

Other

Other23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference
CountryUnited States
CityWashington, DC
Period4/11/144/14/14

Fingerprint

Heterogeneous Agents
Network Simulation
Virtual Worlds

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

Cite this

Zhao, C., Tseng, J. T., & Ritter, F. E. (2014). The effect of heterogeneous agents in socio-cognitive networks. In 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference (pp. 65-72). (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference). BRIMS Committee.
Zhao, Changkun ; Tseng, Jui Te ; Ritter, Frank E. / The effect of heterogeneous agents in socio-cognitive networks. 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee, 2014. pp. 65-72 (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).
@inproceedings{596f4fc432e94d82814294d93f1dbdba,
title = "The effect of heterogeneous agents in socio-cognitive networks",
abstract = "Many network simulations have used homogenous agents, that is, the population of agents is of one type. This study examined if heterogeneous agents created different socio-cognitive networks than homogeneous agents. Here, cognitive agents in a simple virtual world through their interactions formed networks. The agents were different in movement strategies and starting locations. We found that: (a) the difference between homogeneous agents and heterogeneous agents, and (b) the starting locations of agents, both affect network formation. The result of heterogeneous agents in network formation is different from the average results of homogeneous agents and indicates heterogeneity fundamentally changes network formation. Consequently, future network simulation should include heterogeneous agents.",
author = "Changkun Zhao and Tseng, {Jui Te} and Ritter, {Frank E.}",
year = "2014",
month = "1",
day = "1",
language = "English (US)",
isbn = "9781632665188",
series = "23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference",
publisher = "BRIMS Committee",
pages = "65--72",
booktitle = "23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference",

}

Zhao, C, Tseng, JT & Ritter, FE 2014, The effect of heterogeneous agents in socio-cognitive networks. in 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference, BRIMS Committee, pp. 65-72, 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference, Washington, DC, United States, 4/11/14.

The effect of heterogeneous agents in socio-cognitive networks. / Zhao, Changkun; Tseng, Jui Te; Ritter, Frank E.

23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee, 2014. p. 65-72 (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The effect of heterogeneous agents in socio-cognitive networks

AU - Zhao, Changkun

AU - Tseng, Jui Te

AU - Ritter, Frank E.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Many network simulations have used homogenous agents, that is, the population of agents is of one type. This study examined if heterogeneous agents created different socio-cognitive networks than homogeneous agents. Here, cognitive agents in a simple virtual world through their interactions formed networks. The agents were different in movement strategies and starting locations. We found that: (a) the difference between homogeneous agents and heterogeneous agents, and (b) the starting locations of agents, both affect network formation. The result of heterogeneous agents in network formation is different from the average results of homogeneous agents and indicates heterogeneity fundamentally changes network formation. Consequently, future network simulation should include heterogeneous agents.

AB - Many network simulations have used homogenous agents, that is, the population of agents is of one type. This study examined if heterogeneous agents created different socio-cognitive networks than homogeneous agents. Here, cognitive agents in a simple virtual world through their interactions formed networks. The agents were different in movement strategies and starting locations. We found that: (a) the difference between homogeneous agents and heterogeneous agents, and (b) the starting locations of agents, both affect network formation. The result of heterogeneous agents in network formation is different from the average results of homogeneous agents and indicates heterogeneity fundamentally changes network formation. Consequently, future network simulation should include heterogeneous agents.

UR - http://www.scopus.com/inward/record.url?scp=84906853363&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906853363&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84906853363

SN - 9781632665188

T3 - 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

SP - 65

EP - 72

BT - 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference

PB - BRIMS Committee

ER -

Zhao C, Tseng JT, Ritter FE. The effect of heterogeneous agents in socio-cognitive networks. In 23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference. BRIMS Committee. 2014. p. 65-72. (23rd Annual Conference on Behavior Representation in Modeling and Simulation, BRiMS 2014, Co-Located with the International Social Computing, Behavioral Modeling and Prediction Conference).