A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4040-4040.
Abstract
I am developing a framework for anomaly reasoning for agents that plan and learn in complex, sometimes unfamiliar domains. Anomaly reasoning encompasses recognizing, interpreting, and reacting to unfamiliar objects or familiar objects appearing in unexpected contexts. As a first approach, I propose an interpretation method in which agents form concepts from perceptions to create new representations for use in planning and decision making. An anomaly reasoning framework will make agents more versatile, facilitate learning transfer by pruning irrelevant features, relate new to known phenomena with appropriate similarity metrics, and guide an agent to aspects of the environment most significant to its goals.
@inproceedings{ijcai2016p594,
title = {A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning},
author = {Winder, John},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4040--4040},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/594},
}
TY - CPAPER TI - A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning AU - Winder, John T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4040 EP - 4040 UR - https://ijcai.org/proceedings/2016/594 ER -Copied
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