Tractable Inquiry in Information-Rich Environments
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 53-59.
Abstract
In the contemporary autonomous systems the role of complex interactions such as (possibly relaxed) dialogues is increasing significantly. In this paper we provide a paraconsistent and paracomplete implementation of inquiry dialogue under realistic assumptions regarding availability and quality of information. Various strategies for dealing with unsure and inconsistent information are analyzed. The corresponding dialogue outcomes are further evaluated against the (paraconsistent and paracomplete) distributed beliefs of the group. A specific 4-valued logic underpins the presented framework. Thanks to the qualities of the implementation tool: a rule-based query language 4QL, our solution is both expressive and tractable.
@inproceedings{ijcai2015p15,
title = {Tractable Inquiry in Information-Rich Environments},
author = {Dunin-Keplicz, Barbara and Strachocka, Alina},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {53--59},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/15},
}
TY - CPAPER TI - Tractable Inquiry in Information-Rich Environments AU - Dunin-Keplicz, Barbara AU - Strachocka, Alina T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 53 EP - 59 UR - https://ijcai.org/proceedings/2015/15 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: