Efficient resource-bounded reasoning in AT-RALPH
Proceedings of the first international conference on Artificial intelligence planning systems
Operational rationality through compilation of anytime algorithms
Operational rationality through compilation of anytime algorithms
Optimal composition of real-time systems
Artificial Intelligence
Optimizing decision quality with contract algorithms
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Fast time series classification using numerosity reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
A lazy bagging approach to classification
Pattern Recognition
Efficiently finding unusual shapes in large image databases
Data Mining and Knowledge Discovery
Harnessing the strengths of anytime algorithms for constant data streams
Data Mining and Knowledge Discovery
Anytime classification for a pool of instances
Machine Learning
| Hi-index | 0.00 |
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 monitoring modules will accelerate and simplify the process of programming with anytime algorithms.