A Synthetic Approach to Temporal Information Processing
Abstract
A representation and processing scheme for temporal (time-based) information is presented. Previous computer science approaches to temporal information processing are analyzed. Linguistic analysis of tense, aspect and temporal adverbials provide motivation for an automated general tempo-ral understanding system. A synthetic approach is proposed, combining possible-worlds branching time theory with inertia futures, elements of Montague Grammar, a four-valued logic and the interval se-mantics time model. Key portions of the model are implemented and demonstrated in a PASCAL program.
Cite
Text
Grover. "A Synthetic Approach to Temporal Information Processing." AAAI Conference on Artificial Intelligence, 1982.Markdown
[Grover. "A Synthetic Approach to Temporal Information Processing." AAAI Conference on Artificial Intelligence, 1982.](https://mlanthology.org/aaai/1982/grover1982aaai-synthetic/)BibTeX
@inproceedings{grover1982aaai-synthetic,
title = {{A Synthetic Approach to Temporal Information Processing}},
author = {Grover, Mark D.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1982},
pages = {91-94},
url = {https://mlanthology.org/aaai/1982/grover1982aaai-synthetic/}
}