Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning

Authors

  • Joseph Blass Northwestern University

DOI:

https://doi.org/10.1609/aaai.v30i1.9817

Keywords:

Commonsense Reasoning, Moral Reasoning, Analogical Reasoning

Abstract

Autonomous systems must consider the moral ramifications of their actions. Moral norms vary among people and depend on common sense, posing a challenge for encoding them explicitly in a system. I propose to develop a model of repeated analogical chaining and analogical reasoning to enable autonomous agents to interactively learn to apply common sense and model an individual’s moral norms.

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Published

2016-03-05

How to Cite

Blass, J. (2016). Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9817