scholarly journals 'WHAT DID YOU SAY?' EMERGENT COMMUNICATION IN A MULTI-AGENT SPATIAL CONFIGURATION

2010 ◽  
Vol 13 (04) ◽  
pp. 469-482 ◽  
Author(s):  
ELIO MARCHIONE ◽  
MAURICIO SALGADO ◽  
NIGEL GILBERT
Keyword(s):  
Spatial Configuration ◽  
Two Dimensions ◽  
Spatial Constraints ◽  
Symbolic Communication ◽  
Spatial Environment ◽  
Agent Simulation ◽  
Multi Agent ◽  
Over Time

This paper reports the results of a multi-agent simulation designed to study the emergence and evolution of symbolic communication. The novelty of this model is that it considers some interactional and spatial constraints to this process that have been disregarded by previous research. The model is used to give an account of the implications of differences in the agents' behavior, which are embodied in a spatial environment. Two communicational dimensions are identified: the frequency with which agents refer to different topics over time and the spatial limitations on reaching recipients. We use the model to point out some interesting emergent communicational properties when the agents' behavior is altered by considering those two dimensions. We show the group of agents able to reach more recipients and less prone to changing the topic have the highest likelihood of driving the emergence and evolution of symbolic communication.

Coping with longitudinal data in research on developmental psychopathology

2006 ◽  
Vol 30 (1) ◽  
pp. 20-25 ◽  
Author(s):  
David A. Cole
Keyword(s):  
Data Collection ◽  
Longitudinal Data ◽  
Developmental Psychopathology ◽  
Careful Consideration ◽  
Two Dimensions ◽  
The Other ◽  
Outcome Variable ◽  
The Third ◽  
Data Analytic ◽  
Over Time

Many outcome variables in developmental psychopathology research are highly stable over time. In conventional longitudinal data analytic approaches such as multiple regression, controlling for prior levels of the outcome variable often yields little (if any) reliable variance in the dependent variable for putative predictors to explain. Three strategies for coping with this problem are described. One involves focusing on developmental periods of transition, in which the outcome of interest may be less stable. A second is to give careful consideration to the amount of time allowed to elapse between waves of data collection. The third is to consider trait-state-occasion models that partition the outcome variable into two dimensions: one entirely stable and trait-like, the other less stable and subject to occasion-specific fluctuations.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

Sign in / Sign up

Export Citation Format

Share Document