An Evidence-based Framework for a Theory of Inheritance
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Commonsense Reasoning. Pages 1093-1097.
Abstract
We present an approach to formalizing nonmonotonic multiple inheritance networks by combining concepts from logic programming and multi-valued logics in a uniform framework. A Horn-clause logic language is used for specifying inheritance networks. This allows a natural representation of class-subclass hierarchies and ambiguous inheritance networks. It also provides means for resolving ambiguities resulting from the network topology, but which are not .inherent to the problem. We provide a model theory for the language and show how a unique intended model can be associated with every inheritance network. This model resembles the unique extension obtained in the skeptical theory of inheritance [Hor-87], but is more general. Finally, we present an algorithm which realizes the aforementioned semantics.
@inproceedings{ijcai1989p175,
title = {An Evidence-based Framework for a Theory of Inheritance},
author = {Thirunarayan, Krishnaprasad and Kifer, Michael},
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 = {1093--1097},
year = {1989},
month = {8},
note = {Commonsense Reasoning},
url = {https://ijcai.org/proceedings/1989/175},
}
TY - CPAPER TI - An Evidence-based Framework for a Theory of Inheritance AU - Thirunarayan, Krishnaprasad AU - Kifer, Michael T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1093 EP - 1097 UR - https://ijcai.org/proceedings/1989/175 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: