2022
DOI: 10.31234/osf.io/e9m3j
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Reconciling truthfulness and relevance as epistemic and decision-theoretic utility

Abstract: Truthfulness and relevance are core yet controversial principles of communication. Classical theories based on modal logic assume speakers try to communicate true information about the world, while Relevance Theory and game-theoretic pragmatics assume speakers try to communicate useful information. The subtle distinction between true and useful represents a theoretical divide over the basic objective of human communication. To reconcile these perspectives, we propose that speakers independently value both the … Show more

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Cited by 8 publications
(12 citation statements)
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“…Utilizing human knowledge for robot learning serves as an effective and interactive method [43,80], particularly through the medium of evaluative feedback [47]. By deducing reward functions from human input, we can facilitate the swift adaptation of robot policies [74], craft policies that are tailored to individual users [61], and achieve alignment with instructions and descriptions [66]. Humans can convey this form of feedback in a variety of manners, including scalar form [35], verbal directives [62], trajectory segmentation [17], or by employing buttons to signal preferred behaviors [35,36,60], such as for expressing preferences [16,73].…”
Section: Related Work 21 Learning From Evaluative Feedbackmentioning
confidence: 99%
“…Utilizing human knowledge for robot learning serves as an effective and interactive method [43,80], particularly through the medium of evaluative feedback [47]. By deducing reward functions from human input, we can facilitate the swift adaptation of robot policies [74], craft policies that are tailored to individual users [61], and achieve alignment with instructions and descriptions [66]. Humans can convey this form of feedback in a variety of manners, including scalar form [35], verbal directives [62], trajectory segmentation [17], or by employing buttons to signal preferred behaviors [35,36,60], such as for expressing preferences [16,73].…”
Section: Related Work 21 Learning From Evaluative Feedbackmentioning
confidence: 99%
“…When choosing how to best communicate, people often need to make "trade-offs" between these communicative principles (Sumers, Ho, Griffiths, & Hawkins, 2023). Speakers must balance being truthful and relevant depending on the listener's time, resources, and goals.…”
Section: Speak Truthfully Act Optimallymentioning
confidence: 99%
“…Rather than achieving a merely cognitive effect, the relevance of an utterance is measured by how it influences the listener's actions. In addition to truthfulness as an epistemic utility (Bridgers, Jara-Ettinger, & Gweon, 2020;Jara-Ettinger, Gweon, Schulz, & Tenenbaum, 2016), a speaker also considers an utterance's decision-theoretic utility (Benz, 2011;Benz & Van Rooij, 2007;Sumers et al, 2023). Relevant speech equips the listener with knowledge that allows them to act efficiently towards their goals (Hawkins, Stuhlmüller, Degen, & Goodman, 2015).…”
Section: Speak Truthfully Act Optimallymentioning
confidence: 99%
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“…Dialogue with humans or other agents. Classic linguistic interactions allow the agent to accept instructions (Winograd, 1972;Tellex et al, 2011;Chen and Mooney, 2011;Bisk et al, 2016) or learn from people (Nguyen et al, 2021;Sumers et al, 2022;Wang et al, 2016). Agents capable of generating language may ask for help Nguyen et al, 2022b;2019;Nguyen and Daumé III, 2019) or clarification (Biyik and Palan, 2019;Sadigh et al, 2017;Padmakumar et al, 2022;Thomason et al, 2020;Narayan-Chen et al, 2019) -or entertain or emotionally help people (Zhang et al, 2020;Zhou et al, 2018;Pataranutaporn et al, 2021;Hasan et al, 2023;.…”
Section: Grounding Actionsmentioning
confidence: 99%