[agents] CFP: 22nd Multi-Agent-Based Simulation (MABS) workshop hosted at AAMAS 2021[Deadline extension]

Wed Mar 3 02:54:29 EST 2021

/!\ Note that the submission deadline has been extended until the 15th of
March /!\

Call for participation

https://mabsworkshop.github.io/ 

Virtual event, registration is free. All accepted papers will be printed in
the AAMAS workshop proceedings and accepted papers, after a further
reviewing process, in Springer-Verlag’s Multi-Agent-Based Simulation book
series, LNAI.

Important Dates:

*       Extended Submission deadline: March 15th, 2021 (anywhere on Earth)

*       Notification of acceptance/rejection: April 1st, 2021

*       Camera-ready submission deadline: April 19th, 2021

*       Workshop dates: May 4th, 2021

The Multi-Agent-Based Simulation (MABS) workshop is the twentieth of a
<http://www.pcs.usp.br/~mabs/> series that began in 1998. Its scientific
focus lies in the confluence of social sciences and multi-agent systems,
with a strong application/empirical vein, and its emphasis is stressed on
(i) exploratory agent-based simulation as a principled way of undertaking
scientific research in the social sciences and (ii) using social theories as
an inspiration to new frameworks and developments in multi-agent systems.

The MABS workshop series continues with its goal to bring together
researchers interested in MAS engineering, with researchers focused on
finding efficient solutions to model complex social systems, in areas such
as economics, management, organisational and social sciences in general. In
all these areas, agent theories, metaphors, models, analysis, experimental
designs, empirical studies, and methodological principles, all converge into
simulation as a way of a) achieving explanations and predictions, b)
conducting exploration and testing of hypotheses, c) investigating better
designs and systems. The range of technical issues that MABS has and
continues to deal with is diverse and extensive, and includes:

*  (i) Simulation methodology, e.g., Standards for MABS, Methodologies and
simulation languages for MABS, Simulation platforms and tools for MABS,
Visualisation and analytic tools, Scalability and robustness in MABS

*  (ii) Simulation of social and intelligent behaviour, e.g., Formal and
agent models of social behaviour, Cognitive modelling and simulation, Game
theory and simulation, Social structure: social networks and simulating
organisations, Simulating social complexity, e.g. structures and norms,
social order, emergence of cooperation and coordinated action,
self-organisation, self-regulation, and the micro-macro link

*  (iii) Applications, e.g., MABS in environmental modelling, Agent-based
experimental economics, Participatory simulation, MABS and games, MABS in
governance and policy-making. Moreover, in this edition, we will encourage
submissions that address the emerging area of simulation analytics, which
involves the application of data analytics and machine learning methods to
the analysis of large-scale simulations. This topic in important for
developing an understanding of the outcomes of large simulations, and for
gaining operational insights from simulations.

The excellent quality level of this workshop has been recognized since its
inception and its proceedings have been regularly published in Springer's
Lecture Notes series. MABS 2021 will be hosted at
<https://https/aamas2021.soton.ac.uk/> AAMAS 2021, the 20th International
Conference on Autonomous Agents and Multiagent Systems, which will take
place as a virtual event on May 3th-7th, 2021.

For further information, please contact: mabs2021 at easychair.com
<mailto:mabs2021 at easychair.com>  or visit https://mabsworkshop.github.io/ 

Nicolas Verstaevel
Maitre de Conférence
Université Toulouse 1 Capitole

Institut de Recherche en Informatique de Toulouse

Département Intelligence Collective et Interaction

Equipe Systèmes Multi-Agents Coopératifs

Bureau ME207
+33 (0)5 61 63 87 89
 <mailto:%20nicolas.verstaevel at ut-capitole.fr>
nicolas.verstaevel at ut-capitole.fr

 <http://www.ut-capitole.fr/> www.ut-capitole.fr -  <http://www.irit.fr/>
www.irit.fr -  <https://www.irit.fr/-Equipe-SMAC->
https://www.irit.fr/-Equipe-SMAC-

>
<https://www.mdpi.com/journal/smartcities/special_issues/AI_computer_vision_
approaches_big_geo-spatial_data_smart_city> "AI and Computer Vision
Approaches for Big Geo-spatial Data in Smart City", a special issue of Smart
Cities (ISSN 2624-6511). Deadline : 30 April 2021

<https://www.mdpi.com/journal/smartcities/special_issues/AI_computer_vision_
approaches_big_geo-spatial_data_smart_city> 

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