Dear All,
The Institute for Informatics and Digital Innovation here at Edinburgh Napier are assisting Santa Claus again this year, using some powerful optimisation techniques, normally used for solving logistics problems, we’re working out the optimum route for Santa to make his deliveries.
The superb web page and graphics showcase the work of Rachel McFarlane a 4th year School Of Computing student studying Web Technologies.
Feel free to add yourselves, your friends and family to Santa’s list a www.routesanta.org , we also have a Facebook page at https://www.facebook.com/pages/Route-Santa/208974905954368 .
Yours,
Neil Urquhart,
Dr Neil Urquhart
Programme Leader, Software Engineering
School Of Computing,
Edinburgh Napier University
10 Colinton Rd, Edinburgh
EH10 5DT
-----Original Message-----
From: EC covers all approaches to computing [mailto:[log in to unmask]] On Behalf Of EVOLUTIONARY-COMPUTING automatic digest system
Sent: 04 December 2013 00:07
To: [log in to unmask]
Subject: EVOLUTIONARY-COMPUTING Digest - 2 Dec 2013 to 3 Dec 2013 (#2013-174)
There are 2 messages totaling 448 lines in this issue.
Topics of the day:
1. CFP: MABS 2014 - 15th International Workshop on Multi-Agent-Based
Simulation
2. GEPSODY - Gene Expression Programming Blog
----------------------------------------------------------------------
Date: Tue, 3 Dec 2013 12:55:15 +0000
From: Emma Norling <[log in to unmask]>
Subject: CFP: MABS 2014 - 15th International Workshop on Multi-Agent-Based Simulation
--------- MABS 2014 - CFP ---------
(We apologize for multiples copies) (Please distribute this CFP among your colleagues and students)
--------- MABS 2014 - CFP ---------
15th INTERNATIONAL WORKSHOP ON MULTI-AGENT-BASED SIMULATION (MABS 2014)
http://www.uv.es/grimo/mabs2014 e-mail: [log in to unmask] Paris (France), 5-6th May, 2014
SCOPE
The meeting of researchers from MAS engineering and the social/economic/organizational sciences is extensively recognized for its role in cross-fertilization, and it has undoubtedly been an important source of inspiration for the body of knowledge that has been produced in the MAS area.
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 such areas as economics, management, organizational 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 achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
This year, in addition to our usual range of topics for discussion, we would like to include a session focussing particularly on issues related to the use of Big Data in MABS. Researchers who are looking at any aspect of using Big Data to build MABS, MABS to improve understanding of Big Data, or related topics are strongly encouraged to make a submission.
TOPICS
The range of technical issues that MABS deals with is diverse and extensive and it includes:
Simulation methodologies:
Standards for MABS.
Methodologies and simulation languages for MABS.
Simulation platforms and tools for MABS.
Visualization and analytic tools.
Approaches for large-scale simulations.
Scalability and robustness in MABS.
Simulation modelling of multidirectional dynamics in complex social systems.
Provenance and ontology driven approaches in building simulations.
Simulation of social and economic behaviour:
Formal and agent models of social behaviour.
Cognitive modelling and social simulation.
Game theory and simulation.
Social structure: social networks and simulating organizations.
Simulating social complexity (e.g. structures and norms, social order, emergence of cooperation and coordinated action, self-organization, the micro-macro link).
Use of qualitative evidence to inform behavioural rules.
Applications:
MABS in environmental modelling.
Agent-based experimental economics.
Participative simulation.
MABS and games.
Big Data and Multi-Agent-Based Simulation:
Data driven simulations.
Real time data processing.
Design and analysis of simulation experiments including uncertainty analysis.
Handling Big Data in MABS including sense making.
SUBMISSION
Review process
MABS welcomes the submission of full papers with preference to the topics listed in the call for papers. All submissions will go through a peer review process, with two or three independent PC members reviewing each submission. Only those deemed to be 1) relevant to the workshop's aims, 2) presenting original work, and 3) of good quality and clarity will be accepted. Following the workshop, participants will be required to revise their papers, taking into account feedback received at the workshop, and then undergo a second review process before publication in the post-proceedings.
Submitting papers
All submissions should be no longer than 12 pages, in PDF format. Authors are required to use Springer LNCS format for proceedings. Eletronic submission will be managed online through the EasyChair system. To register your paper (deadline January 20th, 2014) you need to provide basic information about the submission including its title, abstract, keywords and author(s). You do not need to upload the full PDF for the purpose of paper registration, but the papers full PDF must be uploaded before the paper submission deadline (January 22nd, 2014).
Publication
All accepted papers will be included in the AAMAS 2014 Workshop Proceedings. Following the workshop, participants will be required to revise their papers, which will undergo a second review process before publication in the post-proceedings, as part of the Multi-Agent-Based Simulation Series for Springer-Verlag, Lecture Notes in Artificial Intelligence.
IMPORTANT DATES
Electronic abstract aubmission: January 20th, 2014
Paper submission deadline: January 22nd, 2014
Notification of acceptance: February 19th, 2014
Camera-Ready papers due: March 10th, 2014
Workshop Celebration: May 5-6th, 2014
COMMITTEES
Organization
Emma Norling (Manchester Metropolitan University, UK).
Francisco Grimaldo (Universitat de València, Spain).
Steering Commitee
Frédéric Amblard (University of Toulouse, France).
Jaime Simão Sichman (University of São Paulo, Brazil).
Keiki Takadama (University of Electro-Communications, Japan).
Keith Sawyer (University of North Carolina at Chapel Hill, USA).
Luis Antunes (University of Lisbon, Portugal).
Nigel Gilbert (University of Surrey, UK).
Paul Davidsson (Malmö University, Sweden).
Rosaria Conte (National Research Council, Italy).
Scott Moss (Koblenz-Landau, Germany).
CONTACT
Emma Norling
School of Computing, Mathematics and Digital Technology John Dalton Building Manchester Metropolitan University Chester Street Manchester United Kingdom
M1 5GD
Tel: +44 161 247 3884
[log in to unmask]
Francisco Grimaldo Moreno
Departament d'Informàtica
Escola Tècnica Superior d'Enginyeria (ETSE) Universitat de València Avinguda de la Universitat, s/n
46100 Burjassot-València
Spain
Tel: +34 96 354 44 87 (+34 96 354 45 65) [log in to unmask]
------------------------------
Date: Tue, 3 Dec 2013 16:10:22 -0000
From: Candida Ferreira <[log in to unmask]>
Subject: GEPSODY - Gene Expression Programming Blog
Dear All,
Just wanted to share with you the realization of a long-held dream of mine - the creation of GEPSODY - a place to blog about my GEP ideas and their implementation in GeneXproTools.
So far there's just the very first post introducing GEPSODY and its goals and a second post outlining the very first project - Multi-class Classification & Trading Strategies.
So please take a look and chime in!
http://www.gepsoft.com/blog/
See you there!
-- Candida Ferreira
Dr C. Ferreira, Founder & Director, Gepsoft
http://www.gepsoft.com/
Gene Expression Programming:
Mathematical Modeling by an Artificial Intelligence.
2nd Edition, Springer, 2006
http://www.gene-expression-programming.com/Books/index.asp
GeneXproTools 5.0 -- Data Modeling Software
Try it for free for 30 days! http://www.gepsoft.com/
------------------------------
End of EVOLUTIONARY-COMPUTING Digest - 2 Dec 2013 to 3 Dec 2013 (#2013-174)
***************************************************************************
Edinburgh Napier University offers industry informed courses which combine the optimum balance of theory and practice to equip graduates for success in today's competitive global job market. 92.3% of our graduates are in work or further study within six months of leaving. With over 17,000 students from over 110 countries, we are an international University and are also proud to be the largest UK provider of higher education in Hong Kong.
This message is intended for the addressee(s) only and should not be read, copied or disclosed to anyone else outwith the University without the permission of the sender. It is your responsibility to ensure that this message and any attachments are scanned for viruses or other defects.
Edinburgh Napier University does not accept liability for any loss or damage which may result from this email or any attachment, or for errors or omissions arising after it was sent. Email is not a secure medium. Email entering the University's system is subject to routine monitoring and filtering by the University.
Edinburgh Napier University is a registered Scottish charity. Registration number SC018373
|