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推进协作元推理框架的发展:前景与挑战。

Progressing the Development of a Collaborative Metareasoning Framework: Prospects and Challenges.

作者信息

Richardson Beth H, Ball Linden J

机构信息

School of Psychology & Humanities, University of Central Lancashire, Preston PR1 2HE, UK.

出版信息

J Intell. 2024 Mar 1;12(3):28. doi: 10.3390/jintelligence12030028.

DOI:10.3390/jintelligence12030028
PMID:38535162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10971039/
Abstract

Metareasoning refers to processes that monitor and control ongoing thinking and reasoning. The "metareasoning framework" that was established in the literature in 2017 has been useful in explaining how monitoring processes during reasoning are sensitive to an individual's fluctuating feelings of certainty and uncertainty. The framework was developed to capture metareasoning at an level. It does not capture metareasoning during collaborative activities. We argue this is significant, given the many domains in which team-based reasoning is critical, including design, innovation, process control, defence and security. Currently, there is no conceptual framework that addresses the nature of collaborative metareasoning in these kinds of domains. We advance a framework of collaborative metareasoning that develops an understanding of how teams respond to the demands and opportunities of the task at hand, as well as to the demands and opportunities afforded by interlocuters who have different perspectives, knowledge, skills and experiences. We point to the importance of a tripartite distinction between "self-monitoring", "other monitoring" and "joint monitoring". We also highlight a parallel distinction between "self-focused control", "other-focused control" and "joint control". In elaborating upon these distinctions, we discuss the prospects for developing a comprehensive collaborative metareasoning framework with a unique focus on language as a measure of both uncertainty and misalignment.

摘要

元推理是指监控和控制正在进行的思维与推理的过程。2017年文献中建立的“元推理框架”有助于解释推理过程中的监控过程如何对个体波动的确定感和不确定感敏感。该框架旨在捕捉元层次的元推理。它没有捕捉协作活动中的元推理。鉴于基于团队的推理在包括设计、创新、过程控制、国防和安全等众多领域至关重要,我们认为这一点很重要。目前,尚无概念框架来阐述此类领域中协作元推理的本质。我们提出了一个协作元推理框架,以深入理解团队如何应对手头任务的要求和机会,以及如何应对具有不同观点、知识、技能和经验的对话者所带来的要求和机会。我们指出了“自我监控”“他人监控”和“联合监控”三方区分的重要性。我们还强调了“自我聚焦控制”“他人聚焦控制”和“联合控制”之间的类似区分。在阐述这些区分时,我们讨论了开发一个全面的协作元推理框架的前景,该框架特别关注将语言作为不确定性和不一致性的一种度量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f783/10971039/488a877d60cb/jintelligence-12-00028-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f783/10971039/488a877d60cb/jintelligence-12-00028-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f783/10971039/488a877d60cb/jintelligence-12-00028-g001.jpg

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