A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 280-284.
Abstract
This paper introduces a novel approach to model warrant computation in a skeptical abstract argumentation framework. We show that such search space can be defined as a lattice, and illustrate how the so-called dialectical constraints can play a role for guiding the efficient computation of warranted arguments.
Carlos Iván Chesñevar, and Guillermo Ricardo Simari. 2007. A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 280–284. https://ijcai.org/proceedings/2007/43
Chesñevar, C. I., & Simari, G. R. (2007). A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 280–284). IJCAI. https://ijcai.org/proceedings/2007/43
@inproceedings{ijcai2007p43,
title = {A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks},
author = {Chesñevar, Carlos Iván and Simari, Guillermo Ricardo},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {280--284},
year = {2007},
url = {https://ijcai.org/proceedings/2007/43},
}
TY - CPAPER TI - A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks AU - Chesñevar, Carlos Iván AU - Simari, Guillermo Ricardo T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 280 EP - 284 UR - https://ijcai.org/proceedings/2007/43 ER -Copied
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