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MAIN 2013 : The Workshop on Multiagent Interaction Networks at AAMAS 2013 | |||||||||||||||
Link: http://staff.vbi.vt.edu/swarup/main/ | |||||||||||||||
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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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