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Subject:

CFP: 20th European Agent Systems Summer School

From:

Neil Yorke-Smith <[log in to unmask]>

Reply-To:

Neil Yorke-Smith <[log in to unmask]>

Date:

Wed, 28 Mar 2018 22:18:29 +0200

Content-Type:

text/plain

Parts/Attachments:

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text/plain (186 lines)

******************************************************************************

                           * CALL FOR PARTICIPATION *

              20th European Agent Systems Summer School (EASSS-2018)

         to be held at Maastricht University, Maastricht, The Netherland
                                18-22 June 2018

           Web site: https://project.dke.maastrichtuniversity.nl/easss/

                    Contact: [log in to unmask]

******************************************************************************
                               About the EASSS 2018
******************************************************************************

The 20th European Agent Systems Summer School will be held at the 
department
of Data-Science and Knowledge Engineering of Maastricht University in the
Netherlands from June 18th till 22nd, 2018.

The EASSS-2018 will offer a rich program of both introductory and advanced
courses on a broad range of topics in the area of Autonomous Agents and
Multi-Agent Systems. The courses will be taught by leading researchers
in the field and are aimed at Masters and PhD students, but can be attended
by any interested researcher.

EASSS is organised under the auspices of EURAMAS, the European Association
for Multi-Agent Systems.

Since 1999, the annual European Agent Systems Summer School (EASSS) has
provided a highly successful forum for knowledge exchange between 
researchers
in the field of Autonomous Agents and Multi-Agent Systems. The previous
editions of EASSS took place in Gdansk (2017), Catania (2016), Barcelona
(2015), Chania (2014), London (2013), Valencia (2012), Girona (2011),
Saint-Etienne (2010), Turin (2009), Lisbon (2008), Durham (2007), Annecy
(2006), Utrecht (2005), Liverpool (2004), Bologna (2003), Barcelona (2002),
Prague (2001), Saarbruecken (2000), and Utrecht (1999).

******************************************************************************
                                    Tutorials
******************************************************************************

Agent-Based Negotiation                                   Reyhan AydoÄŸan
                                                           Catholijn Jonker

Multi-Agent Reinforcement Learning and Dynamics of        Daan Bloembergen
Learning                                                  Michael Kaisers

A shallow introduction to deep learning for agents        Kurt Driessens
                                                           Jerry Spanakis

Auctions and Markets: Understanding Incentives for        Aris 
Filos-Ratsikas
Multi-Agent Systems in the Presence of Scarcity           Paul Tylkin

Logics for strategic reasoning in multi-agent systems     Valentin Goranko

Communication issues in multi-agent decision-making       Nicolas Maudet

Fundamentals of Reinforcement Learning                    Ann Nowé
                                                           Diederik M. 
Roijers

Introduction to Formal Argumentation Theory               Nir Oren
                                                           Federico Cerutti

Epistemic Game Theory                                     Andrés Perea

Type-based Communication Correctness in Multi-agent       Jorge A. Perez
Systems

Distributed Constraint Optimization for the               Gauthier Picard
Internet-of-Things                                        Pierre Rust

Introduction to judgment aggregation                      Daniele Porello

Logics of agency                                          Daniele Porello
                                                           Nicolas Troquard

Stable Matchings: in Theory and in Practice               Baharak Rastegari

Predicting Human Decision-Making: From Prediction         Ariel Rosenfeld
to Action

Models of the Collective Behaviour of Autonomous Cars     László Z. Varga

Learning Agent Systems for a Reliable, Pro-Active Power   Eric Veith
Grid Management — Towards the AI-empowered Grid

Intelligent Search Techniques                             Mark Winands
                                                           Cameron Brown

Agent-Based Modelling for Social Simulation               Neil Yorke-Smith

******************************************************************************

Descriptions of each Tutorial can be found on the EASSS 2018 website:

       https://project.dke.maastrichtuniversity.nl/easss/?page_id=281

******************************************************************************
                                 Important Dates
******************************************************************************

The registration will open at:     1 March 2018
Deadline for grant application:    13 April 2018
Notification of grant approval:    1 May 2018
Early registration deadline:       6 May 2018
Late registration deadline:        3 June 2018
Summer School:                     18-22 June 2018

******************************************************************************
                                  Registration
******************************************************************************

The early registration fee is € 305. This will include participation 
in the
courses, coffee breaks and lunches, and online access to the materials. The
late registration fee will be € 345.

We will organise a social event consisting of a BBQ and drinks. We expect
that the cost will be around € 20.

As in the previous years, we hope to offer some student grants to cover the
early registration fee. More details will be provided soon.

******************************************************************************
                                 About Maastricht
******************************************************************************

Maastricht is the oldest city in the Netherlands. Its oldest remains are 
more
than 2000 year old and pre-date the Roman settlement. The city has a 
beautiful
historic city centre with nice squares where you can eat and drink 
something.

There are different options for traveling to Maastricht. Maastricht has an
airport, named Maastricht-Aachen airport, with connection to a few 
places in
Europe. There is a bus going from the airport the train station of 
Maastricht.
Another possibility is Eindhoven airport, which has more connections to 
cities
in Europe. There is bus going from the airport to train station of 
Eindhoven.
There one can take the train to Maastricht, which takes one hour. It is 
also
possible to fly to Schiphol airport near Amsterdam, which is the main 
airport
in the Netherlands. The train from Schiphol to Maastricht takes two and a
half to three hours with a switch in Amsterdam central station or in 
Utrecht
central station. A last option by airplane is flying to Zaventem, the main
airport in Belgium near Brussels. The train from Zaventem to Maastricht
requires one and a half hours.

Maastricht has a train connection to the Netherlands and Belgium. When 
using
the German railways, it is recommended to take the train to Aachen and in
Aachen to take the bus to Maastricht. The bus requires less than one and a
half hours.

******************************************************************************
                             Scientific Committee
******************************************************************************

Jurgen Dix, Clausthal University of Technology, Germany
Nico Roos, Maastricht University, The Netherlands
Paolo Turrini, University of Warwick, UK

******************************************************************************
                          More Information and Contact
******************************************************************************

The most up-to-date information about the EASSS 2018 is available on the
website: https://project.dke.maastrichtuniversity.nl/easss/.

Should you have any questions, please contact us at:
[log in to unmask]

******************************************************************************

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