[2410.08328] Agents Thinking Fast and Slow: A Talker-Reasoner Architecture

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Computer Science > Artificial Intelligence

arXiv:2410.08328 (cs)

[Submitted on 10 Oct 2024]

Title:Agents Thinking Fast and Slow: A Talker-Reasoner Architecture

Authors:Konstantina Christakopoulou, Shibl Mourad, Maja Matarić<br>View a PDF of the paper titled Agents Thinking Fast and Slow: A Talker-Reasoner Architecture, by Konstantina Christakopoulou and 2 other authors

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Abstract:Large language models have enabled agents of all kinds to interact with users through natural conversation. Consequently, agents now have two jobs: conversing and planning/reasoning. Their conversational responses must be informed by all available information, and their actions must help to achieve goals. This dichotomy between conversing with the user and doing multi-step reasoning and planning can be seen as analogous to the human systems of "thinking fast and slow" as introduced by Kahneman. Our approach is comprised of a "Talker" agent (System 1) that is fast and intuitive, and tasked with synthesizing the conversational response; and a "Reasoner" agent (System 2) that is slower, more deliberative, and more logical, and is tasked with multi-step reasoning and planning, calling tools, performing actions in the world, and thereby producing the new agent state. We describe the new Talker-Reasoner architecture and discuss its advantages, including modularity and decreased latency. We ground the discussion in the context of a sleep coaching agent, in order to demonstrate real-world relevance.

Subjects:

Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)

Cite as:<br>arXiv:2410.08328 [cs.AI]

(or<br>arXiv:2410.08328v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2410.08328

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arXiv-issued DOI via DataCite

Submission history<br>From: Konstantina Christakopoulou [view email]<br>[v1]<br>Thu, 10 Oct 2024 19:31:35 UTC (1,398 KB)

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