Title
An ABM of the Development of Shared Meaning in a Social Group.
Abstract
Generally, concepts are treated as individual-level phenomena. Here, we develop an ABM that treats concepts as group-level phenomena. We make simple assumptions: (1) Different versions exist of one similar conceptualization; (2) When we infer that our view agrees with someone else's view, we are subject to true agreement (i.e., we really share the concept), but also to illusory agreement (i.e., we do not really share the concept); (3) Regardless whether agreement is true or illusory, it strengthens a concept's salience in individual minds, and increases the probability of seeking future interactions with that person or source of information. When agents interact using these rules, our ABM shows that three conditions exist: (a) All versions of the same conceptualization strengthen their salience; (b) Some versions strengthen while others weaken their salience; (c) All versions weaken their salience. The same results are corroborated by developing probability models (conditional and Markov chain). Sensitivity analyses to various parameters, allow the derivation of intuitively correct predictions that support our model's face validity. We believe the ABM and related mathematical models may explain the spread or demise of conceptualizations in social groups, and the emergence of polarized social views, all important issues to sociology and psychology.
Year
Venue
Keywords
2011
ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2
Agent-based modelling,Shared meaning,Conceptual content,Markov chain
Field
DocType
Citations 
Social group,Computer science,Cognitive science,Artificial intelligence,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Enrique Canessa1339.82
Sergio E. Chaigneau235.69
Ariel Quezada321.92