A standard form of citation of this article is:
Beltran, Francesc S., Salas, Laura and Quera, Vicenç (2006). 'Spatial Behavior in Groups: an Agent-Based Approach'. Journal of Artificial Societies and Social Simulation 9(3)5 <https://www.jasss.org/9/3/5.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{beltran2006,
title = {Spatial Behavior in Groups: an Agent-Based Approach},
author = {Beltran, Francesc S. and Salas, Laura and Quera, Vicen\c{c}},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {3},
pages = {5},
year = {2006},
URL = {https://www.jasss.org/9/3/5.html},
keywords = {Spatial Behavior, Proxemics, Agent-Based Modeling, Minimum Dissatisfaction Model, Small Groups, Social Interaction},
abstract = {We present an agent-based model with the aim of studying how macro-level dynamics of spatial distances among interacting individuals in a closed space emerge from micro-level dyadic and local interactions. Our agents moved on a lattice (referred to as a room) using a model implemented in a computer program called P-Space in order to minimize their dissatisfaction, defined as a function of the discrepancy between the real distance and the ideal, or desired, distance between agents. Ideal distances evolved in accordance with the agent's personal and social space, which changed throughout the dynamics of the interactions among the agents. In the first set of simulations we studied the effects of the parameters of the function that generated ideal distances, and in a second set we explored how group macro-level behavior depended on model parameters and other variables. We learned that certain parameter values yielded consistent patterns in the agents' personal and social spaces, which in turn led to avoidance and approaching behaviors in the agents. We also found that the spatial behavior of the group of agents as a whole was influenced by the values of the model parameters, as well as by other variables such as the number of agents. Our work demonstrates that the bottom-up approach is a useful way of explaining macro-level spatial behavior. The proposed model is also shown to be a powerful tool for simulating the spatial behavior of groups of interacting individuals.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Spatial Behavior in Groups: an Agent-Based Approach
AU - Beltran, Francesc S.
AU - Salas, Laura
AU - Quera, Vicenç
Y1 - 2006/06/30
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 3
SP - 5
UR - https://www.jasss.org/9/3/5.html
KW - Spatial Behavior
KW - Proxemics
KW - Agent-Based Modeling
KW - Minimum Dissatisfaction Model
KW - Small Groups
KW - Social Interaction
N2 - We present an agent-based model with the aim of studying how macro-level dynamics of spatial distances among interacting individuals in a closed space emerge from micro-level dyadic and local interactions. Our agents moved on a lattice (referred to as a room) using a model implemented in a computer program called P-Space in order to minimize their dissatisfaction, defined as a function of the discrepancy between the real distance and the ideal, or desired, distance between agents. Ideal distances evolved in accordance with the agent's personal and social space, which changed throughout the dynamics of the interactions among the agents. In the first set of simulations we studied the effects of the parameters of the function that generated ideal distances, and in a second set we explored how group macro-level behavior depended on model parameters and other variables. We learned that certain parameter values yielded consistent patterns in the agents' personal and social spaces, which in turn led to avoidance and approaching behaviors in the agents. We also found that the spatial behavior of the group of agents as a whole was influenced by the values of the model parameters, as well as by other variables such as the number of agents. Our work demonstrates that the bottom-up approach is a useful way of explaining macro-level spatial behavior. The proposed model is also shown to be a powerful tool for simulating the spatial behavior of groups of interacting individuals.
ER -