Reasoning with Cause and Effect
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Awards. Pages 1437-1448.
Abstract
This paper summarizes concepts, principles, and tools that were found useful in applications involving causal modeling. 1 The principles are based on structural-model semantics, in which functional (or counterfactual) relationships, representing autonomous physical processes are the fundamental building blocks. The paper presents the formal basis of this semantics, illustrates its application in simple problems and discusses its ramifications to computational and cognitive problems concerning causation.
Judea Pearl. 1999. Reasoning with Cause and Effect. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 1437–1448. https://ijcai.org/proceedings/1999/203
Pearl, J. (1999). Reasoning with Cause and Effect. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 (pp. 1437–1448). IJCAI. https://ijcai.org/proceedings/1999/203
@inproceedings{ijcai1999p203,
title = {Reasoning with Cause and Effect},
author = {Pearl, Judea},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1437--1448},
year = {1999},
note = {Awards},
url = {https://ijcai.org/proceedings/1999/203},
}
TY - CPAPER TI - Reasoning with Cause and Effect AU - Pearl, Judea T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1437 EP - 1448 UR - https://ijcai.org/proceedings/1999/203 ER -Copied
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