Knowledge Base Compilation
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Real-time and High Performance. Pages 227-231.
Abstract
The effective use of knowledge based systems technology to solve .complex and real-time problems in embedded system environments requires that the performance of these systems be maximized for conventional processor architectures. This paper presents a technique for the complete compilation of knowledge bases directly into procedural code. The technique is based on determining what actions an interpretive inference engine would . take with the specific knowledge base and generating only the code needed to perform those actions. This eliminates the overhead of interpreting a representation of the knowledge base and significantly improves performance . The performance gains produced by this approach will be examined using examples from the High Performance Embedded Reasoning (HiPER) System, a prototype tool w.hich utilizes this technology.
@inproceedings{ijcai1989p36,
title = {Knowledge Base Compilation},
author = {Highland, F. D. and Iwaskiw, Christine T.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {227--231},
year = {1989},
month = {8},
note = {Real-time and High Performance},
url = {https://ijcai.org/proceedings/1989/36},
}
TY - CPAPER TI - Knowledge Base Compilation AU - Highland, F. D. AU - Iwaskiw, Christine T. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 227 EP - 231 UR - https://ijcai.org/proceedings/1989/36 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
