Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

This paper presents a taxonomy of explainability in human–agent systems. We consider
fundamental questions about the Why, Who, What, When and How of explainability. First, we …

This paper presents objective metrics for how explainable artificial intelligence (XAI) can be
quantified. Through an overview of current trends, we show that many explanations are …

Academic research on family business advising is gaining momentum; however, the internal
structure and mechanisms of advice giving and taking remain a black box. We conducted a …

Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

Information structure design, also sometimes known as signaling or persuasion, is
concerned with understanding the effects of information on the outcomes of strategic …

In this paper we present a novel Stackelberg-type model of security domains: Security
Assets aSsignment with Information disclosure (SASI). The model combines both the …

Stackelberg games have garnered significant attention in recent years given their
deployment for real world security. Most of these systems, such as ARMOR, IRIS and …

Artificial intelligence (AI) systems are increasingly used for providing advice to facilitate
human decision making in a wide range of domains, such as healthcare, criminal justice …

This article discusses three dimensions of creativity: metaphorical thinking; social
interaction; and going beyond extrapolation in predictions. An overview of applications of …