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



SCOPE
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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 specific computational 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 and how 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 MAS and 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 the International Joint Conference on Artificial Intelligence 2015 (IJCAI-15), which will be held in Buenos Aires, Argentina, from July 25th to 31st, 2015.


GOALS
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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
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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.

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