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The purpose of our research is to enhance the efficiency of AI problem solvers by automating representation changes. We have developed a system that improves the description of input problems and selects an appropriate search algorithm for each given problem. Motivation. Researchers have accumulated much evidence on the impor tance of appropriate representations for the efficiency of AI systems. The same problem may be easy or difficult, depending on the way we describe it and on the search algorithm we use. Previous work on the automatic im provement of problem descriptions has mostly been limited to the design of individual learning algorithms. The user has traditionally been responsible f...
Coming right up - a fourth rollicking round of Whiskey Mattimoe! Summer brings some new and familiar faces to her quirky Michigan town. There's MacArthur, the hunky Scotsman whose Glasgow real estate experience could make him an excellent agent at Whiskey's office; self-help author and karma expert Fenton Flagg, who's got Whiskey''s libido boiling over; and her ex-husband Jeb Halloran, who can still send chills down Whiskey's spine, when he's not crooning pet lullabies. But steamy romance is impossible amid the shrill cries of Velcro, Whiskey's new teacup-sized shitzapoo pup. Inexplicable sightings of Gill Gruen, the former mayor who drowned last winter, have the town on edge. But the doggy poop really hits the fan when Whiskey's felonious Afghan hound discovers a murder scene on the shore of Lake Michigan. If it wasn''t the riptide that killed Twyla Rendel, Whiskey's high-risk tenant, who did?
Sebastian Görg introduces social workflows as a new application domain for Process-Aware Information Systems and draws the design of a social workflow platform that enables private individuals to make use of workflow technology in their everyday lives. Whenever a group of persons works together on a challenging or multifaceted task, a social workflow begins. In textual form, such social workflows are already described and shared in various Internet communities which provide experiential knowledge for achieving different goals, in areas like home repair, vacation trips and computer troubleshooting. The envisioned platform enables its users to construct social workflows according to their specific needs, to share them with a community and to keep track of the execution.
Experts report on the latest artificial intelligence research concerning reasoning about reasoning itself.
The role of archives and libraries in our digital age is one of the most pressing concerns of humanists, scholars, and citizens worldwide. This collection brings together specialists from academia, public libraries, governmental agencies, and non-profit archives to pursue common questions about value across the institutional boundaries that typically separate us.
Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible. While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals.
This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scaling up, both in terms of domain and problem complexity. In this work, the strategy-level learning process is cast for the first time as the automation of the complete cycle of construction, storing, retrieving, and flexibly reusing problem solving experience. The algorithms involved are presented in detail and numerous examples are given. Thus the book addresses researchers as well as practitioners.
The CoreGRID Network of Excellence (NoE) project began in September 2004. Two months later, in November 2004, the first CoreGRID Integra tion Workshop was held within the framework of the prestigious international Dagstuhl seminars. CoreGRID aims at strengthening and advancing long-term research, knowledge transfer and integration in the area of Grid and Peer-to- Peer technologies. CoreGRID is a Network of Excellence - a new type of project within the European 6th Framework Programme, to ensure progressive evolution and durable integration of the European Grid research community. To achieve this objective, CoreGRID brings together a critical mass of we- established researchers and doctoral s...
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings tog...