It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
Abstract. It is an important and intriguing issue to know the quantitative similarity of large software systems. In this paper, a similarity metric between two sets of source code ...
— Game theory models and analyzes the situations of conflict and cooperation among independent decision-makers. We can view the runs of a multi-agent system as a game where the ...
The design of complex embedded systems involves the simultaneous optimization of several often competing objectives. Instead of a single optimal design, there is rather a set of a...
Abstract. The swarm metaphor stands for dynamic, complex interaction networks with the possibility of emergent phenomena. In this work, we present two games that challenge the vide...