In this paper, we propose a domain-specific aspect language to prevent the denials of service caused by resource management. Our aspects specify availability policies by enforcin...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
This research investigates an evolutionary approach to engineering agent collectives that accomplish tasks cooperatively. In general, reproduction and selection form the two corner...
Recently, in both the neuroscience and adaptive behaviour communities, there has been growing interest in the interplay of multiple timescales within neural systems. In particular,...
In order to regulate different circumstances over an extensive period of time, norms in institutions are stated in a vague and biguous manner, thereby abstracting from concrete as...