僵尸理解语言吗？：对机器认知的自选冒险式探索
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition
AI总结：
针对大语言模型是否理解文本的争论，该论文通过思想实验指出争论源于对“理解”的定义及意识作用的分歧，提出两种纳入意识问题的理解工作定义并关联多学科文献。
摘要：
大语言模型（LLMs）的最新进展引发了关于其是否理解文本的争论。在这篇立场论文中，我们认为这场争论的双方对“理解”的定义不同，尤其是在意识的作用问题上存在分歧。为证实这一主张，我们提出一项思想实验：开源聊天机器人$Z$在所有可能的基准测试中表现优异，却似乎没有主观体验。我们追问$Z$是否具备理解能力，并表明AI经典研究中的不同思想流派对该问题的回答存在差异，揭示出它们的术语分歧。后续我们提出两种明确纳入意识问题的“理解”工作定义，并将其与哲学、心理学和神经科学的丰富文献建立关联。
英文摘要：
Recent advances in LLMs have sparked a debate on whether they understand text. In this position paper, we argue that opponents in this debate hold different definitions for understanding, and particularly differ in their view on the role of consciousness. To substantiate this claim, we propose a thought experiment involving an open-source chatbot $Z$ which excels on every possible benchmark, seemingly without subjective experience. We ask whether $Z$ is capable of understanding, and show that different schools of thought within seminal AI research seem to answer this question differently, uncovering their terminological disagreement. Moving forward, we propose two distinct working definitions for understanding which explicitly acknowledge the question of consciousness, and draw connections with a rich literature in philosophy, psychology and neuroscience.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
