This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 417
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #308780
Title: Multi-Agent Simulation
Author(s): Yasmin H. Said*+
Companies: George Mason University
Address: 23044 Winged Elm Drive, Clarksburg, MD, 20871,
Keywords: Agent Based Model (ABM) ; Social Network Analysis (SNA) ; Multi-mode Networks ; Graph Theory ; Evolutionary Social Networks ; Actor
Abstract:

Social network analysis has developed processes for dealing with two-mode networks in which there are two different types of actors. This concept has recently been extended to multi-mode networks in which there are more than two types of actors. In this paper, we extend this notion to multi-agent simulation. In this framework, we allow for multiple types of agents. Each agent type has simple rules for interacting with other agents, either of the same type or of one of the other allowable types of agents. Potential applications could include opposing forces that have distinctive behaviors. Another example would be the set of alcohol users, law enforcement institutions, and medical treatment facilities. In this case, individuals from each of these groups have different rules for dealing with individuals from their own groups as well as individuals from the other groups.


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