We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuit...
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
Martin Hofmann 0008, Andreas Hirschberger, Emanuel...
High-level test pattern generation is today a widely investigated research topic. The present paper proposes a fully automated, simulation-based ATPG system, to address test patte...
The paper presents a discussion and a specification of an exception handling system dedicated to object-oriented programming. We show how a full object-oriented representation of ...