We describe extensions to a finite-state dialogue manager and its author scripting language that enable control over content repetition during tutorial dialogue. The problem of controlling redundancy requires the specification of complex conditions on the discourse history that are beyond the capabilities of the intended users of the scripting language. We show that the problem can be addressed...

As game designers shift focus from graphical realism to immersive stories, the number of game-object interactions grows exponentially. Games use manually written scripts to control interactions. ScriptEase provides game designers with generative patterns that generate scripting code to control common interactions. This paper describes a new kind of generative pattern, quest patterns, that gener...

Scripting and composition languages offer high-level mechanisms to combine and compose services provided by a lower-level host programming language. Inter-language bridging mechanisms are therefore needed to map host language entities and services to abstractions of the scripting language, and vice versa. Many popular languages such as Python, Perl, and Ruby use a bridging approach based on wra...

We present a system for the simple and fast creation of character animation which is used within an augmented reality environment. Instead of using fixed sequences of animation, the motion of the characters are created by subtasks which are able to change the motion dynamically according to the environment. Dynamic motion models are used to produce the animation data. These dynamic motion model...

A language FOBS-X (Extensible FOBS) is described. This language is an interpreted language, intended as a universal scripting language. An interesting feature of the language is its ability to be extended, allowing it to be adapted to new scripting environments. The interpretation process is structured as a core-language parser back-end, and a macro processor front-end. The macro processor allo...

Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This reinforcement learning algorithm has previously been extended to support the automatic construction of new abstract states to improve its context sensitivity and integrated with a graphical behavior modeling architect...