Knowledge-Based Anytime Computation

Abdel-illah Mouaddib and Shlomo Zilberstein. Knowledge-Based Anytime Computation. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI), 775-781, Montreal, Canada, 1995.

Abstract

This paper describes a real-time decision-making model that combines the expressiveness and flexibility of knowledge-based systems with the real-time advantages of anytime algorithms. Anytime algorithms offer a simple means by which an intelligent system can trade off computation time for quality of results. Previous attempts to develop knowledge-based anytime algorithms failed to produce consistent, predictable improvement of quality over time. Without performance profiles, that describe the output quality as a function of time, it is hard to exploit the flexibility of anytime algorithms. The model of progressive reasoning that is presented here is based on a hierarchy of reasoning units that allow for gradual improvement of decision quality in a predictable manner. The result is an important step towards the application of knowledge-based systems in time-critical domains.

Bibtex entry:

@inproceedings{MZijcai95,
  author	= {Abdel-illah Mouaddib and Shlomo Zilberstein},
  title		= {Knowledge-Based Anytime Computation},
  booktitle     = {Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence},
  year		= {1995},
  pages		= {775-781},
  address       = {Montreal, Canada},
  url		= {http://rbr.cs.umass.edu/shlomo/papers/MZijcai95.html}
}

shlomo@cs.umass.edu