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MAIN 2013 : The Workshop on Multiagent Interaction Networks at AAMAS 2013

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Link: http://staff.vbi.vt.edu/swarup/main/
 
When May 6, 2013 - May 7, 2013
Where Saint Paul, Minnesota, USA
Submission Deadline Feb 15, 2013
Notification Due Mar 8, 2013
Final Version Due Mar 12, 2013
Categories    multiagent systems   networks   artificial intelligence
 

Call For Papers

The Workshop on Multiagent Interaction Networks (MAIN) will be held in conjunction with the Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

May 6 or 7, 2013, Saint Paul, Minnesota, USA.

http://staff.vbi.vt.edu/swarup/main/

Important Dates
Paper submission deadline: Feb 15, 2013
Notification of acceptance: Mar 8, 2013
Final version due: Mar 12, 2013
Workshop on MAIN: May 6 or 7, 2013

Workshop Theme
A network representation is very useful in both designing and analyzing multiagent systems. While simple theoretical models have been used for a while, like Erdos-Renyi random graphs, Watts-Strogatz small-world networks, and the Barabasi-Albert preferential attachment model, we are now seeing increasing application of detailed data-driven models, such as social contact networks obtained by combining multiple data sources, or networks induced from social media like Twitter and Facebook. Networks also offer a compact representation of complex (designed) multiagent systems, offering a new perspective on analysis of outcomes (e.g. simulation outcomes).

A network perspective also offers new opportunities for application of multiagent systems technology. Social science domains like epidemiology (including social epidemics like the spread of obesity, the spread of smoking, etc.) use social network data, but with very simple agent models, often consisting of a single variable. While it is well known that modeling human behavior is essential to these problems, little has been done on this front. Multiagent systems techniques have much to contribute here.

The goal of this workshop is to bring the network perspective to the forefront in the design and analysis of multiagent systems. We invite contributions from multiagent modelers, researchers in network science, and researchers in computational social science, with a focus on how network science might be used to improve the design of multiagent systems (by generating more realistic interaction structure, e.g.), and their analysis (some outcomes are best explained from a network perspective, e.g., time to consensus).

Topics
Papers are invited on topics including, but not limited to, the following:

Contagion processes on networks
Social contagion
Emergence of norms
Influence maximization
Virtual agents, agent-human contagion
Game theory on networks
Network interdiction games
Competing contagions
Contagion blocking
Networks in artificial social systems and simulations
Agent communication networks
Spatial interaction networks
Relation between structure and dynamics
Online networks
Using social media for tracking social contagion, etc.
Crowdsourcing
Massively Multiplayer Online Games (MMOG)
Data mining and machine learning on networked datasets
Social media analytics



Submissions
Submissions can be of up to 8 pages in length, in the AAMAS format (see formatting instructions on the AAMAS site). Reviewing will be single-blind.

Organizing Committee

Samarth Swarup, Virginia Tech
Madhav Marathe, Virginia Tech
Stephen Eubank, Virginia Tech
Milind Tambe, University of Southern California
Gita Sukthankar, University of Central Florida


Program Committee

Jason Tsai, University of Southern California
Kiran Lakkaraju, Sandia National Laboratory
Xi Wang, University of Central Florida
Karl Lvoff, IBM
Max Tsvetovat, George Mason University
Nicholas Weller, University of Southern California
Balaraman Ravindran, IIT Madras
Il-Chul Moon, KAIST
Manish Jain, University of Southern California
Paul Scerri, Carnegie Mellon University

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