Variable-Based Intelligent Backtracking

V. Rajasekar; M. Narasimha Murty

doi:10.1117/12.969356

21 March 1989 Variable-Based Intelligent Backtracking

V. Rajasekar, M. Narasimha Murty

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969356
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

In this paper we present a new scheme for intelligent backtracking in Horn-Clause programs. It is to be observed that variables give more information about the cause of the failure rather than predicates. The scheme suggested in this paper, makes use of this information to eliminate a lot of redundant backtracking. This scheme suggested requires less overhead as compared to the scheme suggested by Vipin Kumar and is easy to implement. Our scheme makes use of an observation that a variable's instantiated value is not altered unless there is a failure on this variable and the system backtracks to the step at which this variable got instantiated. Such a feature is not exploited by conventional Prolog interpreters. We present an algorithm for the proposed intelligent backtracking scheme. We illustrate this scheme with examples. The extra overhead required by this algorithm is the failure list that contains the list of variables that could have caused the failure, changed list that contains the list of variables whose values have changed during backtracking, and the variable look-up table that contains the step numbers, wherein the variables got instantiated.

Citation Download Citation

V. Rajasekar and M. Narasimha Murty "Variable-Based Intelligent Backtracking", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969356

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