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Title: Rebel agents that adapt to goal expectation failures
Humans and autonomous agents often have differing knowledge about the world, the goals they pursue, and the actions they perform. Given these differences, an autonomous agent should be capable of rebelling against a goal when its completion would violate that agent’s preferences and motivations. Prior work on agent rebellion has examined agents that can reject actions leading to harmful consequences. Here we elaborate on a specific justification for rebellion in terms of violated goal expectations. Further, the need for rebellion is not always known in advance. So to rebel correctly and justifiably in response to unforeseen circumstances, an autonomous agent must be able to learn the reasons behind violations of its expectations. This paper provides a novel framework for rebellion within a metacognitive architecture using goal monitoring and model learning, and it includes experimental results showing the efficacy of such rebellion.  more » « less
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Author(s) / Creator(s):
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Date Published:
Journal Name:
Proceedings of the Integrated Execution / Goal Reasoning Workshop (held at the Thirtieth International Conference on Automated Planning and Scheduling - ICAPS-20)
Medium: X
Sponsoring Org:
National Science Foundation
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