Semantic indeterminacy in agentic negotiation: agreement after the recession of the principal

Shun Okuhara
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Abstract

Agentic AI systems increasingly do not merely respond within negotiations but participate in constituting them: they can add issues, instantiate participant agents, and modify procedural rules while an interaction is under way. Human action can be compositionally produced without thereby becoming authorless, and legal institutions routinely attach consequences to conduct without identifying an author of every contribution. Our claim is therefore limited: agentic generation can separate three relations that institutions often treat as aligned: causal production, intentional expression, and institutional attribution. We call the resulting condition semantic indeterminacy. An added element may result from several generative influences, including principal intention, agent-side optimization, training distributions, and interactional contingency, while information about its causal production does not, by itself, determine whose intention it expresses or how it is institutionally attributed. We show how this condition can appear across three sites of bargaining: issues, participants, and procedural rules. We then trace two implications. First, causal analysis alone does not determine who is responsible for a generated element or on what basis, although contract, agency, and product-liability doctrines can assign legal consequences under specified conditions. Second, as a limiting case, agentic interactions may occur in post-principal agentic spaces, where no human provides move-specific direction and no identifiable human or institution occupies a legally or institutionally recognized role. Existing governance frameworks remain grounded in identifiable human authority and accountability; their limits become visible where that ground is no longer reliably available. The paper provides a conceptual framework for identifying this residual problem rather than claiming to solve it.

代理谈判中的语义不确定性:委托人退避后的协议
越来越多的人工智能系统不仅在谈判中做出反应,而且还参与了谈判的构成:它们可以在互动进行时添加问题、实例化参与者代理并修改程序规则。人类行为可以被合成地产生,而不会因此变得无作者,法律制度通常会给行为附加后果,而不会确定每一项贡献的作者。因此,我们的主张是有限的:代理生成可以分离机构通常视为一致的三种关系:因果生产、故意表达和制度归因。我们称结果条件为语义不确定性。增加的元素可能来自几个生成影响,包括主要意图、主体侧优化、训练分布和交互偶然性,而关于其因果产生的信息本身并不决定它表达的意图是谁的,也不决定它是如何被制度归因于谁的。我们展示了这种情况如何出现在讨价还价的三个场所:问题、参与者和程序规则。然后我们追溯了两个含义。首先,尽管合同、代理和产品责任理论可以在特定条件下指定法律后果,但单独的因果分析并不能确定谁对所产生的要素负责或以什么为基础负责。第二,作为一种限制情况,代理互动可能发生在后主体代理空间中,在这种空间中,没有人提供特定的行动方向,也没有可识别的人或机构占据法律或制度认可的角色。现有的治理框架仍然以可识别的人的权威和问责制为基础;当这个基础不再可靠时,它们的局限性就会显现出来。本文提供了一个概念框架来识别这个残余问题,而不是声称解决它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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