• Sorted by Date • Classified by Publication Type • Classified by Topic • Grouped by Student (current) • Grouped by Former Students •
Gal A. Kaminka and Natalie Fridman.
A Cognitive Model of Crowd Behavior Based on Social Comparison Theory. In Proceedings of the AAAI-2006 workshop
on cognitive modeling, 2006.
Modeling crowd behavior is an important challenge for cognitive modelers. Models of crowd behavior facilitate analysis and prediction of the behavior of groups of people, who are in close geographical or logical states, and are affected by each other's presence and actions. Existing models of crowd behavior, in a variety of fields, leave many open challenges. In particular, psychology models often offer only qualitative description, and do not easily permit algorithmic replication, while computer science models are often simplistic, treating agents as simple deterministic particles. We propose a novel model of crowd behavior, based on Festinger's Social Comparison Theory (SCT), a social psyc hology theory known and expanded since the early 1950's. We propose a concrete algorithmic framework for SCT, and evaluate its implementations in several crowd behavior scenarios. We show that our SCT model produces improved results compared to base models from the literature. We also discuss an implementation of SCT in the Soar cognitive architecture, and the question this implementation raises as to the role of social reasoning in cognitive architectures.
@InProceedings{sct06ws,
author = {Gal A. Kaminka and Natalie Fridman},
title = {A Cognitive Model of Crowd Behavior Based on Social Comparison Theory},
OPTcrossref = {},
OPTkey = {},
booktitle = {Proceedings of the {AAAI}-2006 workshop on cognitive modeling},
OPTpages = {},
year = {2006},
abstract = {Modeling crowd behavior is an important challenge for
cognitive modelers. Models of crowd behavior facilitate
analysis and prediction of the behavior of groups of
people, who are in close geographical or logical states,
and are affected by each other's presence and
actions. Existing models of crowd behavior, in a variety
of fields, leave many open challenges. In particular,
psychology models often offer only qualitative
description, and do not easily permit algorithmic
replication, while computer science models are often
simplistic, treating agents as simple deterministic
particles. We propose a novel model of crowd behavior,
based on Festinger's Social Comparison Theory (SCT), a
social psyc hology theory known and expanded since the
early 1950's. We propose a concrete algorithmic
framework for SCT, and evaluate its implementations in
several crowd behavior scenarios. We show that our SCT
model produces improved results compared to base models
from the literature. We also discuss an implementation
of SCT in the Soar cognitive architecture, and the
question this implementation raises as to the role of
social reasoning in cognitive architectures. },
wwwnote = {},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
OPTaddress = {},
OPTmonth = {},
OPTorganization = {},
OPTpublisher = {},
OPTnote = {},
OPTannote = {}
}
Generated by bib2html.pl (written by Patrick Riley ) on Fri Apr 19, 2024 19:01:33