Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
This paper proposes a functional ontology of reputation for agents. The goal of this ontology is twofold. First, to put together the broad knowledge about reputation produced in s...
Organizational notions such as roles, norms (e.g., obligations and permissions), and services are increasingly viewed as natural concepts to manage the complexity of software devel...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
Abstract. The last decades have seen the emergence of the sea of objects paradigm for structuring complex distributed systems on workstations and local area networks. In this appro...