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Programming with Anytime Algorithms

Joshua Grass

Year
1995
Citations
2

Abstract

Anytime algorithms are playing an increasingly important role in the construction of effective reasoning and planning systems. Early work on anytime algorithms concentrated on the construction of applications in such areas as medical diagnosis and mobile robot navigation. In this paper we describe a programming environment to support the development of such applications as well as larger applications in which several anytime algorithms are used. The widespread use of anytime algorithms depends largely on the availability of such programming tools for algorithm construction, performance measurement, composition of anytime algorithms, and monitoring of their execution. We present a prototype system that meets these needs. Created in lisp, this library of functions, graphical tools and monitoringmodules will accelerate and simplify the process of programming with anytime algorithms. 1 Introduction Anytime algorithms offer a tradeoff between performance and consumption o...

Keywords

Computer scienceLispProcess (computing)AlgorithmProgramming by demonstrationRobotArtificial intelligenceProgramming language

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