The coalition structure generation problem is a natural abstraction of one of the most
important challenges in multi-agent systems: How can a number of agents divide …

This paper presents a succinct review of attempts in the literature to use game theory to
model decision-making scenarios relevant to defence applications. Game theory has been …

This paper investigates ultrafilters in the context of connectivity systems, defined as pairs (X,
f) where X is a finite set and f is a symmetric submodular function. Ultrafilters, essential in …

We develop a new, principled algorithm for estimating the contribution of training data points
to the behavior of a deep learning model, such as a specific prediction it makes. Our …

Set functions are mappings that assign to subsets of a universal set a real number and
appear in many fields of mathematics (pure and applied) and computer sciences …

Multiagent systems combine multiple autonomous entities, each having diverging interests
or different information. This overview of the field offers a computer science perspective, but …

The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents
interact with each other. These agents are considered to be autonomous entities such as …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Aggregation is the process of combining several numerical values into a single
representative value, and an aggregation function performs this operation. These functions …

Multiple energy systems (MESs) bring different types of energy together and are able to
improve energy utilization efficiency and promote the integration of renewable energy. The …