This paper presents SAgent, a general-purpose mobile agent security framework that is designed to protect the computations of mobile agent applications in potentially hostile envi...
This paper attempts to articulate the general role of infrastructure for multi-agent systems (MAS), and why infrastructure is a particularly critical issue if we are to increase th...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
In the recent past, several different methods for coordinating behavior in multi-robot teams have been proposed. Common to most of them is the use of communication to coordinate b...
Identity theft through phishing attacks has become a major concern for Internet users. Typically, phishing attacks aim at luring the user to a faked web site to disclose personal ...
Sebastian Gajek, Ahmad-Reza Sadeghi, Christian St&...