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PSDG is a parallel synthetic data generator designed to generate "industrial sized" data sets quickly using cluster computing. PSDG depends on SDDL, a synthetic data description language that provides flexibility in the types of data we can generate.

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This paper describes the NLMenu System, a menu-based natural language understanding system. Rather than requiring the user to type his input to the system, input to NLMenu is made by selecting items from a set of dynamically changing menus. Active menus and items are determined by a predictive left-corner parser that accesses a semantic grammar and lexicon. The advantage of this approach is that all inputs to the NLMenu System can be understood thus giving a 0% failure rate. A companion system that can automatically generate interfaces to relational databases is also discussed. relatively straightforward queries that PLANES could understand. Additionally, users did not successfully adapt to the system's limitations after some amount of use.

CoAX project goals The Coalition Agents Experiment (CoAX; www. aiai.ed.ac.uk/project/coax) is an international collaboration carried out under the auspices of DARPA's Control of Agent-Based Systems program (http:// coabs.globalinfotek.com). Building on the CoABS Grid framework, the CoAX agent infrastructure groups agents into domains reflecting real-world orga-The Coalition Agents Experiment aims to show that multiagent systems offer effective tools for dealing with complex real-world problems by enabling agile and robust coalition operations and interoperability between heterogeneous military systems.