Recent advances in federated learning (FL) have brought large-scale collaborative machine
learning opportunities for massively distributed clients with performance and data privacy …

Intelligent machines have reached capabilities that go beyond a level that a human being
can fully comprehend without sufficiently detailed understanding of the underlying …

The value alignment problem is concerned with the design of systems that provably abide by
our human values. One approach to this challenge is through the leverage of prescriptive …

Complex systems often exhibit emergent behaviour, unexpected macro-level behaviour
caused by the interaction of micro-level components. In multiagent systems, these micro …

Norms are utilised in agent societies to encourage acceptable behaviour by the participating
agents. They can be established or revised from the top-down (authority) or from the bottom …

With the increasing popularity of open-source platforms, software data is easily available
from various open-source tools like GitHub, CVS, SVN, etc. More than 80 percent of the data …

Many decision and optimization problems in Electronic Design Automation (EDA) can be
solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find …

Traditionally, distributed computing concentrates on computation understood at the level of
information exchange and sets aside human and organizational concerns as largely to be …

Social norms play a pivotal role in sustaining social order by regulating individual behaviors
in a society. In normative multiagent systems, social norms have been used as an efficient …

We envision a world in which robots serve as capable partners in heterogeneous teams
composed of other robots or humans. A crucial step towards such a world is enabling robots …