‘Argue with us!’: audience co-creation through post-performance discussions.

In this article Caroline Heim explores an avenue for the audience's contribution to the theatrical event that has emerged as increasingly important over the past decade: postperformance discussions. With the exception of theatres that actively encourage argument such as the Staatstheater Stuttgart, most extant audience discussions in Western mainstream theatres privilege the voice of the theatre expert. Caroline Heim presents case studies of post-performance discussions held after performances of Anne of the Thousand Days and Who's Afraid of Virginia Woolf? which trialled a new model of audience co-creation. An audience text which informs the theatrical event was created, and a new role, that of audience critic, established in the process.

Extending persistent monitoring by combining ocean models and Markov decision processes

Ocean processes are complex and have high variability in both time and space. Thus, ocean scientists must collect data over long time periods to obtain a synoptic view of ocean processes and resolve their spatiotemporal variability. One way to perform these persistent observations is to utilise an autonomous vehicle that can remain on deployment for long time periods. However, such vehicles are generally underactuated and slow moving. A challenge for persistent monitoring with these vehicles is dealing with currents while executing a prescribed path or mission. Here we present a path planning method for persistent monitoring that exploits ocean currents to increase navigational accuracy and reduce energy consumption.

Representing USDL for humans and tools

This chapter deals with technical aspects of how USDL service descriptions can be read from and written to different representations for use by humans and tools. A combination of techniques for representing and exchanging USDL have been drawn from Model-Driven Engineering and Semantic Web technologies. The USDL language's structural definition is specified as a MOF meta-model, but some modules were originally defined using the OWL language from the Semantic Web community and translated to the meta-model format. We begin with the important topic of serializing USDL descriptions into XML, so that they can be exchanged beween editors, repositories, and other tools. The following topic is how USDL can be made available through the Semantic Web as a network of linked data, connected via URIs. Finally, consideration is given to human-readable representations of USDL descriptions, and how they can be generated, in large part, from the contents of a stored USDL model.