IS@AMAS 2013 - International Workshop on Information Sharing in Large Scale Multi-Agent Systems (IS@AMAS13)

This workshop aims to address information sharing as opposed to mere information searching and retrieval through querying. Agents, devices and information sources connected in large scale networks have to share information in effective ways, so as the right information to reach the right agents at the appropriate time, for
agents to perform the necessary tasks. The distribution, diversity, volatility and, in many emerging applications ubiquity of data sources, make the information sharing task a challenging task. This is important in many real-world settings, where voluminous information from different sources need to reach agents. The problem becomes even more challenging when agents have different “views” for the meaning of the information they need to share, when they have to manipulate heterogeneous data from different sources. In all these cases, semantics play an important role. Considering to be a decentralized control problem, information searching and sharing in large-scale systems of cooperative agents is a hard problem in the general case.
Topics to be addressed include algorithms for information sharing among self-interested agents, formal models for information sharing and methods' formal properties (e.g. convergence, completeness, optimality), energy/cost-efficient and scalable information sharing methods, machine learning methods for “tuning” information sharing in large scale settings, adaptive multi-agent organizations for effective and efficient information sharing, distributed semantic coordination for information sharing in heterogeneous and large scale settings, information provenance, trust and reputation for information sharing, environment abstractions and facilitators for effective information sharing, real-world applications of information sharing, agent architectures for energy-efficient and scalable information sharing.
URL: http://ai-group.ds.unipi.gr/islsmas/