FBRL: A Function and Behavior Representation Language
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1830-1835.
Abstract
This paper proposes FBRL, a language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior . The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
@inproceedings{ijcai1995p235,
title = {FBRL: A Function and Behavior Representation Language},
author = {Sasajima, Munehiko and Kitamura, Yoshinobu and Ikeda, Mitsuru and Mizoguchi, Riichiro},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1830--1835},
year = {1995},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1995/235},
}
TY - CPAPER TI - FBRL: A Function and Behavior Representation Language AU - Sasajima, Munehiko AU - Kitamura, Yoshinobu AU - Ikeda, Mitsuru AU - Mizoguchi, Riichiro T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1830 EP - 1835 UR - https://ijcai.org/proceedings/1995/235 ER -Copied
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