Edinburghis exploring a practical computer based environment to provide for specification, generation, interaction with, and execution of activity plans.

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L. Han).L. Han, et al., FireGrid: An e-infrastructure for next-generation emergency response support, J. Parallel Distrib. Comput. AbstractThe FireGrid project aims to harness the potential of advanced forms of computation to support the response to large-scale emergencies (with an initial focus on the response to fires in the built environment). Computational models of physical phenomena are developed, and then deployed and computed on High Performance Computing resources to infer incident conditions by assimilating live sensor data from an emergency in real time-or, in the case of predictive models, faster-than-real time. The results of these models are then interpreted by a knowledge-based reasoning scheme to provide decision support information in appropriate terms for the emergency responder. These models are accessed over a Grid from an agent-based system, of which the human responders form an integral part. This paper proposes a novel FireGrid architecture, and describes the rationale behind this architecture and the research results of its application to a large-scale fire experiment.'Keywords: Emergency response, Grid, High performance computing, Multi-agent system, Knowledge-based reasoning, Fire simulation model L. Han, et al., FireGrid: An e-infrastructure for next-generation emergency response support, J. Parallel Distrib. Comput.

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SummaryPlanning systems have been an active research topic within Artificial Intelligence for over two decades. There have been a number of techniques developed during that period which still form an essential part of many of today's planners. This paper introduces the techniques, attempts to classify some of the important research themes in AI planning and describes their historical development.