Modal Propositional Semantics for Reason Maintenance Systems
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 178-183.
Abstract
Non-monotonic logics are examined and found to be inadequate as descriptions of reason maintenance systems (sometimes called truth maintenance systems). A logic is proposed that directly addresses the problem of characterizing the mental states of a reasoning agent attempting to reason with respect to some object theory. The proposed logic, propositional dynamic logic of derivation (PDLD), is given a semantics, and a sound and complete axiomatization. The descriptive power of PDLD is demonstrated by expressing various inferential control policies as PDLD formulae. In this note I will elaborate the propositional fragment of an axiomatic semantics of reason maintenance systems (RMS's) [Do2l. The development of such a semantics stems from the desire to provide a declarative specification language for RMS's with particular emphasis on the description of the control of their reasoning processes, and to serve as a formal setting within which to compare and contrast the properties of different RMS's.
@inproceedings{ijcai1985p32,
title = {Modal Propositional Semantics for Reason Maintenance Systems},
author = {Jr., Allen L. Brown},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {178--183},
year = {1985},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1985/32},
}
TY - CPAPER TI - Modal Propositional Semantics for Reason Maintenance Systems AU - Jr., Allen L. Brown T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 178 EP - 183 UR - https://ijcai.org/proceedings/1985/32 ER -Copied
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