[Apologies for multiple copies of this announcement] ------------------------------------------------------------------------ Preliminary Call for papers MassiveMAS 2015 First International Workshop on Autonomous Agents and Multi-Agent Systems at Scale https://massivemas.wordpress.com/ ------------------------------------------------------------------------ Held in conjunction with AAMAS 2015 May 4-8, 2015, Istanbul, Turkey The MassiveMAS workshop will take place on May 4 or 5 ------------------------------------------------------------------------
*Workshop description Many recent real-world problems could be modelled as a massive multi-agent systems. Examples range from smart grids and crowdsourcing systems, to financial markets (e.g., high frequency trading) and extremely large data systems (where the massive amount of data induces the large-scale property). Some of the problems that demand solutions within these domains are well known to this community, and include strategic planning, coordination, or task allocation. However, when small scale MAS solutions (and so called toy problems) are ported to large-scale MAS they typically suffer from scaling issues, unreliability or their solutions need assumptions whose results are inconclusive at best. Such issues arise due to the large number of participating agents (e.g., hundreds of thousands of homeowners in smart grids, or crowd-workers in crowdsourcing systems), or the large amount of data agents have to deal with (e.g., real-time trading data in high frequency trading, or large amount of entries in databases). Currently, such challenges are typically being addressed by the community either by limiting the agents' reasoning capabilities (assuming bounded rationality, suboptimal planning or limited information) or by limiting the agents' influence to local neighborhoods, significantly decreasing their action space. However, in this new ever-connected world, many applications, such as smart grids, or high frequency trading systems, require full agent models integrated at big scales that can exert their influence more widely. Thus, existing techniques, that rely on limiting either the agents' reasoning or action space, will fail in efficiently tackling the problems that occur in the abovementioned systems at scale. To this end, this workshop aims to examine the major challenges induced by bringing together a nascent community of researchers from different research areas to genuinely discuss how to tackle these problems within large-scale autonomous agents and multi-agent systems. In particular, we aim to focus on addressing the challenges of adapting existing agent technologies to large-scale systems, and on novel approaches and solutions, that provide new, more efficient ways to describe the behaviour of agent-based systems at scale. These technical issues and the key discussion points to be addressed by researchers, include, but are not limited to, the following: Novel models: Meta-agent based agent models: models with meta-agents that act on the behalf of groups of agents Community-based agent models: agent-type clustering and bootstrapping Dynamic, open system models: models with dynamically changing agent populations and behaviours Computational aspects: Large-scale coordination & planning Large-scale single and multi-agent learning New performance metrics, analysis, and evaluation framework for massive MAS algorithms Simulations: Large-scale simulation frameworks Real-time simulation at scale Benchmarking existing massive MAS techniques Applications: Large-scale smart grids and energy systems Agent technologies for Big Data Large-scale crowdsourcing systems Large-scale voting systems Complex financial systems & high frequency trading Agent technologies for security Agent technologies for disaster management Agent technologies for social networks *Important dates and deadlines Deadline for the submission of full papers: February 11 Notification of acceptance/rejection: March 10 Deadline for the receipt of camera-ready papers: March 19 Workshop: May 4 or 5, 2015 (TBC) *Submission instructions Authors should submit full papers electronically in PS or PDF format on EasyChair (https://easychair.org/conferences/?conf=massivemas2015). Papers must be written in English, with a maximum length of 14 pages (excluding references). Please format papers according to the Springer LNCS Style (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Templates for Word and Latex are available. The receipt of submissionswill be acknowledged by email. Submitted papers will be reviewed by the program committee. Note: Workshop attendees need not register for the main AAMAS conference,but are encouraged to do so. *Publication TBA *Advisory Committee: Ana Bazzan, Instituto de Informatica, UFRGS, Brasil Nick Jennings, University of Southampton, UK Peter Stone, University of Texas Austin, USA *Program Committee (confirmed): Muddassar Alam, ,University of Southampton, UK Giorgios Chalkiadakis, Technical University of Crete, Greece Thach-Thao Duong, Griffith University and NICTA QLD, Australia The Anh Han, Tesside University, UK Trong Nghia Hoang, National University of Singapore, Singapore Ramachandra Kota, IBM Research India, India Cam-tu Nguyen, Nanjing University, China Trung Thanh Nguyen, Masdar Institute of Technology, UAE Oliver Parson, University of Southampton, UK Tao Qin, Microsoft Research Asia, China Amirthalingam Ramanan, University of Jaffna, Sri Lanka Lampros C. Stavrogiannis, University of Southampton, UK Botond Szabó, CREST, France Ngoc Cuong Truong, University of Southampton, UK William Yeoh, New Mexico State University, USA Dengji Zhao, University of Southampton, UK *Workshop Organizers Enrique Munoz de Cote INAOE, Mexico Matthijs Spaan Delft University of Technology, The Netherlands Long Tran-Thanh University of Southampton, UK Matteo Venanzi University of Southampton, UK *Contact Please contact Long Tran-Thanh (l.tran-thanh at soton dot ac dot uk) with any inquiries. Long Tran-Thanh Senior research fellow, -- Agents, Interaction, and Complexity Group, Electronics and Computer Science, University of Southampton, SO17 1BJ -- http://users.ecs.soton.ac.uk/ltt08r tel: +44 (0) 2380593256
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