[agents] CFP workshop on Synergies between Multiagent Systems, Machine Learning and Complex Systems (TRI 2015)

[Ana Bazzan]

Please distribute.

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NEW: authors of selected papers will be invited to submit an extended 
version to topical
issues of the ACS journal and the ECC Springer Series (see below).
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NEW: we have adjusted the submission deadline to the standard IJCAI 
workshops

deadline on   *********** April 27 ********************

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Second Workshop on Synergies between Multiagent Systems,
              Machine Learning and Complex Systems (TRI 2015)
                      (http://www.ufrgs.br/tri2015)


Held at the Int. Joint Conference on Artificial Intelligence 2015
                       (IJCAI-15), July 25-27 2015,
                         Buenos Aires, Argentina



IMPORTANT DATES
===============

- Paper Submission:                April 27, 2015
- Acceptance Notification:        May 31, 2015
- Camera-Ready Submission:        June 15, 2015



SCOPE
=====

The TRI workshop series aims at investigating the existing and further 
synergies between the Multi-agent Systems (MAS), Machine Learning (ML) 
and Complex System (CS) disciplines. MAS can efficiently manage domains 
with distributed data and expertise. Also, they have the ability to 
solve large and complex problems. The expertise of each agent can focus 
on specificcomputational intelligence models such as learning 
classifiers, supervised and non-supervised techniques, evolutionary 
algorithms, swarm intelligence techniques, or other specific 
optimization/learning algorithms. Applications range from bioinformatics 
and traffic networks to information retrieval and text classification. 
Broadly speaking, the area of CS is grounded on similar ideas: complex 
systems investigate how relationships between components of a system 
give rise to emerging collective behaviors andhow the system as a whole 
and its components interact with an environment. ML has being used both 
in MAS as well as in CS when the agents or components of the system need 
to learn to make decisions. Moreover, since MASand CS are becoming large 
and more and more complex, ML is key to improve performance. Here, not 
only the traditionally applied method of reinforcement learning shall be 
studied, but there is potential for using supervised and non-supervised 
ML techniques as well. Since these synergies among the three areas are 
not well studied, we see room for such a workshop where researchers and 
practitioners from the three areas could come together, as currently 
these three communities do not meet often.

The second edition of the TRI workshop is going to be co-located with 
theInternational Joint Conference on Artificial Intelligence 2015 
(IJCAI-15), which will be held in Buenos Aires, Argentina, from July 
25th to 31st,2015.


GOALS
=====

1. Bring together researchers working on Multi-agent Systems, all areas 
of Machine Learning, and Complex Systems
2. Explore the bridges among these disciplines in order to create new 
holistic knowledge from their interactions.
3. Produce contributions that allow the research community to create new 
challenging results and real world applications.



TOPICS
======

Relevant topics include (but are not limited to):

- Adaptation and distributed learning of MAS in complex networks
- MAS Adaptability to cooperate and collaborate in the Internet of Things
- MAS and learning applied to Big Data
- Adaptive agents and MAS applied to Cloud Computing
- Emergent behavior in adaptive multi-agent systems
- Adaptive agents and MAS for self-organizing complex systems
- Bio-inspired multi-agent systems
- MAS and learning applied to Bioinformatics
- Adaptive MAS for simulating real world complex scenarios
- Adaptive agents and e-commerce: negotiation, trust models, reputation, 
coordination, etc.
- Game theoretical analysis of adaptive multi-agent systems over complex 
networks
- Adaptive MAS in Economics: microeconomics, macroeconomics, global 
markets, etc.
- Adaptive Multi-agent Systems for Smart Grids and Smart Cities
- Adaptive MAS for Urban Transport Control and Transportation
- Application of supervised and non-supervised Machine Learning in MAS
- Application of supervised and non-supervised Machine Learning in 
complex systems
- Learning for mechanism design in complex systems
- Community detection in MAS
- Learning in the context of social networks
- Microscopic and agent-based simulation of complex systems (e.g. using 
cellular automata and other techniques)



ACCEPTED PAPERS
===============

Besides the regular workshop notes (published by IJCAI as usual), we are 
contacting some journals and the editor of the Springer series in 
Emergence, Complexity and Computation in order to publish special 
issue(s) with extended versions of selected papers. Please, visit the 
Workshop website (http://www.ufrgs.br/tri2015) for updated information.

==================
POST PROCEEDINGS

Authors of selected papers will be invited to submit an extended version 
to topical issues of the ACS journal 
(http://www.worldscientific.com/worldscinet/acs) and the ECC Springer 
Series (http://www.springer.com/series/10624)


COMMITTEES
==========

- Organising committee:

Ana L. C. Bazzan, UFRGS, Brazil
Juan C. Burguillo, University of Vigo, Spain
Juan A. Rodríguez-Aguilar, IIIA-CSIC, Spain



- Program committee (to be completed):

Stefania Bandini, University of Milan, Italy
Tiago Baptista, University of Coimbra, Portugal
Christian Blum, University of the Basque Country, Spain
Didac Busquets, Imperial College, UK
Aleksander Byrski, AGH Krakow, Poland
Camelia Chira, Tech. Univ. Cluj-Napoca, Romenia
Jelena Fiosina, TU Clausthal, Germany
Maksims Fiosins, TU Clausthal, Germany
José Fernando Fontanari, USP, Brazil
Marie-Pierre Gleizes, IRIT, Toulouse, France
Nathan Griffiths, University of Warwick, UK
M.R. Hasan, Univ. of Nebraska, Lincoln, USA
Joanna Kolodziej, University of Bielsko-Biała, Poland
Zhao Liang, USP, Brazil
Pedro Mariano, Univ. of Lisbon, Portugal
Giovanna Di Marzo Serugendo, Univ. of Geneva, Switzerland
Peter McBurney, King’s College, UK
José Manuel Molina, Universidad Carlos III de Madrid, Spain
Enrique Munoz de Cote, INAOEP, Mexico
Juan Pavón, UPM, Madrid
Steve Phelps, University of Essex, UK
Andrea Roli, University of Bologna, Italy
Roberto da Silva, UFRGS, Brazil
Frank Schweitzer, ETH, Switzerland
Joan Serrà, IIIA-CSIC, Spain
Kagan Tumer, Univ. of Oregon, USA
Karl Tuyls, University of Liverpool, UK
Ivan Zelinka, University of Ostrawa, Czech Republic



CONTACT
=======

Please, visit the website:http://www.ufrgs.br/tri2015