This paper proposes a way of conceptualizing influence, a crucial notion in foreign policy making, in order to shed light on the (lack of) success of European foreign policy (EFP) in the neighborhood. While the word influence is widely used in both everyday conversations as well as in the bulk of International Relations (IR) literature, it is rarely conceptualized. Contrastingly, attempts to co...

Previous research suggests that intonation is a particularly challenging aspect of L2 speech learning. While most research focuses on speech production, we widen the focus and study the perception of intonation by L2 learners. We investigate whether advanced German learners of English have knowledge of the appropriate English intonation patterns in a narrative context with different sentence ty...

We describe a framework and an algorithm for solving hybrid influence diagrams with discrete, continuous, and deterministic chance variables, and discrete and continuous decision variables. A continuous chance variable in an influence diagram is said to be deterministic if its conditional distributions have zero variances. The solution algorithm is an extension of Shenoy’s fusion algorithm for ...

We extend the logical model of agency known as the KGP model, to support agents with normative concepts, based on the roles an agent plays and the obligations and prohibitions that result from playing these roles. The proposed framework illustrates how the resulting normative concepts, including the roles, can evolve dynamically during the lifetime of the agent. Furthermore, we illustrate how t...

Interactive dynamic influence diagrams (I-DIDs) offer a transparent and semantically clear representation for the sequential decision-making problem over multiple time steps in the presence of other interacting agents. Solving I-DIDs exactly involves knowing the solutions of possible models of the other agents, which increase exponentially with the number of time steps. We present a method of s...

Abstr act: Many real world models can be characterized as weak, m�aning that there is significant uncertainty in both the data input and inferences. This lack of determinism makes it especially difficult for users of computer decision aids to understand and have confidence in the models. This paper presents a representation for uncertainty and utilities that serves as a framework for graphical ...