A Bayesian network (BN) is a graphical model of uncertainty that is especially well suited to
legal arguments. It enables us to visualize and model dependencies between different …

This paper studies the modelling of legal reasoning about evidence within general theories
of defeasible reasoning and argumentation. In particular, Wigmore's method for charting …

Abstract 'AI & Law'research has been around since the 1970s, even though with shifting
emphasis. This is an overview of the contributions of digital technologies, both artificial …

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
discusses several topics that relate more naturally to groups of papers than a single paper …

In this chapter, we summarize psychological research on judgment and decision-making
processes in criminal investigations. We start by outlining the nature of investigative tasks …

There is an escalating perception in some quarters that the conclusions drawn from digital
evidence are the subjective views of individuals and have limited scientific justification. This …

This paper studies the modelling of legal reasoning about evidence within general theories
of defeasible reasoning and argumentation. In particular, it is studied how Wigmore's …

In this collection of recent essays, Andrew P. Vayda argues for a pragmatic approach to
explanation and explanation-oriented research in social and environmental sciences. He …

The objective of crime prediction, one of the most important technologies in social
computing, is to extract useful information from many existing criminal records to predict the …

Many attackers tend to use sophisticated multi-stage and/or multi-host attack techniques and
anti-forensic tools to cover their traces. Due to the limitations of current intrusion detection …