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<div align="center"><b><big>First International Workshop on
Agent-based Modeling and Simulation of Cities (AgentCities14)</big></b><br>
</div>
<br>
<div align="center">In conjunction with the 5th International
Conference on<br>
Ambient Systems, Networks, and Technologies ANT2014 (Hasselt,
Belgium)<br>
June 2-5, 2014<br>
<a class="moz-txt-link-freetext" href="http://www.multiagent.fr/Conferences:AgentCities14">http://www.multiagent.fr/Conferences:AgentCities14</a><br>
<br>
</div>
<b>Description</b><br>
The modeling of the dynamics of the cities and their population is
of great theoretical and practical interest. In the past two-decade
research from a broad range of fields such as computer graphics,
physics, robotics, energy, social science, safety science and
training systems has created simulations involving collections of
elements (individuals or devices) immersed in cities. Many works
have been devoted to the study of collective behaviors and their
inherent emergent properties such as spontaneous organizations of
pedestrians into lines, oscillations at gates, etc. Among all the
existing approaches in simulation, those offering the highest level
of realism in behavior are microscopic approaches because they
explicitly attempt to model the features that take part in the
expression of specific behaviors of individuals. Agent-Based
Simulations (ABS) are one of the approaches to support
micro-simulation. ABS principle relies upon a set of autonomous
agents, which encapsulate the behaviors of individual entities
(pedestrians, vehicles, devices...) Agent-based modeling allows
complex behaviors of various interacting entities to emerge from a
set of simpler behaviors. Phenomena such as flocks of birds, schools
of fish and<br>
crowds are good examples of how systems with simple goals can
exhibit emergent behaviors as the result of the interactions between
the individuals. Moreover, in contrast to other micro-simulation
techniques, ABS allows to catch the variety of behaviors composing a
real system easily. ABS has proven<br>
to be well suited for the simulation of situations where there is a
large number of heterogeneous individuals who may behave somewhat
differently. However, as soon as we consider a micro-simulation of
several agents and their relationships, the complexity of the system
and associated computational costs increase. We are therefore faced
a dilemma common in the field of simulation: to manage a compromise
between performance and accuracy.<br>
The goal of AgentCities is to provides a place where the different
points of view on the modeling and the simulation of the city's
dynamics may be discussed. A particular focus is made on agent-based
models. The accepted application domains are various, from crowds,
to smart grid, include transport and traffic<br>
models.<br>
<br>
AgentCities14 will be held in Hasselt, Belgium (2-5 June 2014) in
conjunction with the 5th International Conference on Ambient
Systems, Networks, and Technologies (ANT 2014).<br>
<br>
<b>Topics</b><br>
<ul>
<li>Methods and Models:</li>
<ul>
<li>Agent based Modeling and Simulation</li>
<li>Holonic models</li>
<li>Agent based Simulation of large scale urban systems</li>
<li>Agent oriented analysis and design methods</li>
<li>Ontologies and theories about large urban systems</li>
<li>Smart city models</li>
<li>Formal models of agent-based simulation</li>
<li>Organizational models</li>
</ul>
<li>Applications:</li>
<ul>
<li>Traffic/Transport</li>
<li>Crowds</li>
<li>Smard grids and smart buildings</li>
<li>Land-Use<br>
</li>
</ul>
</ul>
<b>Workshop Chairs</b><br>
<ul>
<li>Stéphane GALLAND - IRTES-SET, Université de Technologie de
Belfort-Montbéliard, France</li>
<li>Sebastian RODRIGUEZ (CITAT, Argentina)</li>
<li>Nicolas GAUD (IRTES-SET, France)<br>
</li>
</ul>
<b>Important Dates</b><br>
<ul>
<li>Submission deadline: January 4, 2014</li>
<li>Notification: March 1, 2014</li>
<li>Final date for camera-ready copy: April 4, 2014</li>
<li>Workshop: June 2-5, 2014<br>
</li>
</ul>
<b>Program Committee (confirmed)</b><b><br>
</b>Available soon.<br>
<br>
<div class="moz-signature">-- <br>
<p><strong>Dr. habil. Stéphane GALLAND</strong><br>
Associate Professor (HDR)<br>
Multiagent Simulation Group</p>
<p>IRTES-SET, IRTES, UPR EA 7274.<br>
Institut de Recherche sur les Transports, l’Énergie, et la
Société.<br>
Université de Technologie de Belfort-Montbéliard.<br>
Rue Ernest Thierry-Mieg,<br>
90010 Belfort Cedex, FRANCE</p>
<p>
<a href="http://www.multiagent.fr/People:Galland_stephane">http://www.multiagent.fr/People:Galland_stephane</a><br>
Phone: (+33) [0]384 583 418<br>
Cell: (+33) [0]662 274 442<br>
Fax: (+33) [0]384 583 342<br>
Skype: <a href="skype:sgalland">sgalland</a></p>
<p>
<a href="http://www.multiagent.fr"><img
src="cid:part3.03080609.00010907@utbm.fr" height="50px"></a>
<a href="http://irtes.utbm.fr"><img
src="cid:part5.03050608.00030702@utbm.fr" height="50px"></a></p>
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