Four studies demonstrate the potential influence of name similarity on perceptions of similarity to oneself in general, liking, and compliance. Some participants received a scenario in which the protagonist’s name was similar to their own. These participants indicated that the character was more similar to themselves, reported greater liking for the person, and expressed more willingness to com...

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...

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 ...

Influence diagram is a graphical representa­ tion of belief networks with uncertainty. This article studies the structural properties of a probabilistic model in an influence diagram. In particular, structural controllability the­ orems and structural observability theorems are developed and algorithms are formulated. Controllability and observability are funda­ mental concepts in dynamic syste...

Modeling the perceived behaviors of other agents improves the performance of an agent in multiagent interactions. We utilize the language of interactive influence diagrams to model repeated interactions between the agents, and ascribe procedural models to other agents. Procedural models offer the benefit of understanding how others arrive at their behaviors. As model spaces are often bounded, t...

In this paper we will survey the history of Influence Diagrams from their origin in Decision Theory to modern AI uses. We will compare the various methods that have been used to find an optimal strategy for a given influence diagram. These methods have various advantages under different assumptions and there is a progression to the present of richer, more general solutions. We also look at an a...