PEARL - A Package for Efficient Access to Representations in LISP
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Programming Environments. Pages 930-931.
Abstract
PEARL is an AI language developed with space and lime etJiciencies in mind . In addition to providing the usual facilities such as slot-tiller objects, demons and associat ive data bases, PEARL introduces stronger typing on slots, user-assisted hashing mechanisms, and a forest of data bases . The resulting product is a simple, but powerful and efficient tool for AI research .
Michael Deering, Joseph Faletti, and Robert Wilensky. 1981. PEARL - A Package for Efficient Access to Representations in LISP. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81. IJCAI, 930–931. https://ijcai.org/proceedings/1981/177
Deering, M., Faletti, J., & Wilensky, R. (1981). PEARL - A Package for Efficient Access to Representations in LISP. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 (pp. 930–931). IJCAI. https://ijcai.org/proceedings/1981/177
@inproceedings{ijcai1981p177,
title = {PEARL - A Package for Efficient Access to Representations in LISP},
author = {Deering, Michael and Faletti, Joseph and Wilensky, Robert},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {930--931},
year = {1981},
month = {8},
note = {Programming Environments},
url = {https://ijcai.org/proceedings/1981/177},
}
TY - CPAPER TI - PEARL - A Package for Efficient Access to Representations in LISP AU - Deering, Michael AU - Faletti, Joseph AU - Wilensky, Robert T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 930 EP - 931 UR - https://ijcai.org/proceedings/1981/177 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
