In this paper we develop a novel measure of information in a random variable based on its cumulative distribution that we dub cumulative residual entropy (CRE). This measure parall...
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Lack of cooperation (free riding) is one of the key problems that confronts today’s P2P systems. What makes this problem particularly difficult is the unique set of challenges ...
Michal Feldman, Kevin Lai, Ion Stoica, John Chuang
In this paper we investigate and provide solutions for security threats in the context of hybrid networks consisting of a cellular base station and mobile devices equipped with du...
Bogdan Carbunar, Ioannis Ioannidis, Cristina Nita-...
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...