This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Abstract. We propose a general transformation that maps a cryptographic protocol that is secure in an extremely weak sense (essentially in a model where no adversary is present) in...
In this work we present the basic concepts for a dynamic plug-in-based software architecture using concepts from the Petri net-based MAS framework Mulan. By transferring the conce...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, H...
Abstract. This paper proposes an extension of the UML 2.0 profiling mechanism. This extension facilitates a language designer to introduce composite concepts as separate conceptual...
Dick A. C. Quartel, Remco M. Dijkman, Marten van S...