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- W4378771675 abstract "Is it possible to evaluate the moral cognition of complex artificial agents? In this work, we take a look at one aspect of morality: `doing the right thing for the right reasons.' We propose a behavior-based analysis of artificial moral cognition which could also be applied to humans to facilitate like-for-like comparison. Morally-motivated behavior should persist despite mounting cost; by measuring an agent's sensitivity to this cost, we gain deeper insight into underlying motivations. We apply this evaluation to a particular set of deep reinforcement learning agents, trained by memory-based meta-reinforcement learning. Our results indicate that agents trained with a reward function that includes other-regarding preferences perform helping behavior in a way that is less sensitive to increasing cost than agents trained with more self-interested preferences." @default.
- W4378771675 created "2023-05-31" @default.
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- W4378771675 date "2023-05-29" @default.
- W4378771675 modified "2023-10-02" @default.
- W4378771675 title "Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity" @default.
- W4378771675 doi "https://doi.org/10.48550/arxiv.2305.18269" @default.
- W4378771675 hasPublicationYear "2023" @default.
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