少点错误 2024年12月09日
Refuting Searle’s wall, Putnam’s rock, and Johnson’s popcorn
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这篇文章探讨了计算功能主义在解释意识方面的局限性。通过分析普特南的“普特南的石头”思想实验,文章指出,将任何物理系统解释为执行任何计算的观点存在问题。作者利用计算复杂性理论中的“规约”概念,论证了石头或整数等简单系统无法真正实现任意计算,因为构建映射本身就需要与原始图灵机同等的计算复杂性。文章强调,映射的构建需要在外部执行计算,因此声称计算发生在石头或整数中是误导性的。

🤔️ 文章的核心论点是,计算功能主义无法有效解释意识,因为它错误地将意识归因于简单的物理系统。

🪨 普特南的“普特南的石头”思想实验被用来引出问题:如果任何物理系统都可以被解释为执行任何计算,那么是否意味着石头也具有意识?

🔢 作者利用计算复杂性理论中的“规约”概念来反驳普特南的观点。规约表明,可以构建一个“简单”的映射来证明一个系统正在执行任意计算,而石头或整数无法做到这一点。

⚙️ 文章指出,将图灵机状态映射到石头或整数需要外部计算来生成映射,这反驳了计算发生在石头或整数内部的观点。

🛑 将图灵机状态映射到整数,从逻辑上来说是不可能的,因为这意味着我们已经解决了停机问题——一个逻辑上不可能解决的问题。

Published on December 9, 2024 8:24 AM GMT

In a recent essay, Euan McLean suggested that a cluster of thought experiments “viscerally capture” part of the argument against computational functionalism. Without presenting an opinion about the underlying claim about consciousness, I will explain why these arguments fail as a matter of computational complexity. Which, parenthetically, is something that philosophers should care about.

To explain the question, McLean summarizes part of Brian Tomasik’s essay "How to Interpret a Physical System as a Mind." There, Tomasik discusses the challenge of attributing consciousness to physical systems, drawing on Hilary Putnam's "Putnam's Rock" thought experiment. Putnam suggests that any physical system, such as a rock, can be interpreted as implementing any computation. This is meant to challenge the idea that computation alone defines consciousness. It challenges computational functionalism by implying that if computation alone defines consciousness, then even a rock could be considered conscious.

Tomasik refers to Paul Almond’s (attempted) refutation of the idea, which says that a single electron could be said to implement arbitrary computation in the same way. Tomasik dismisses this as , but I think a related argument succeeds. That is, a finite list of consecutive integers can be used to 'implement' any Turing machine using the same logic as Putnam’s rock. Each step N of the machine's execution corresponds directly to integer N in the list. But this mapping is trivial, doing no more than listing the steps of the computation.

It might seem that the above proves too much. Perhaps every mapping requires doing the computation to construct? This is untrue, as the notion of a reduction in computational complexity makes clear. That is, we can build a ”simple” mapping, relative to the complexity of the Turing machine itself, and this succeeds in showing that the system is actually performing arbitrary computations - both the system performing computations and the one being mapped from. Rocks and integers cannot, since any mapping must be as complex as the original Turing machine.

Does the mapping to rocks or integers do anything at all? No. Crucially, the mappings to rocks or integers require the computation to be performed elsewhere to generate the mapping. Without the computation occurring externally, the mapping cannot be constructed, and thus, it is misleading to claim that the computation happens 'in' the rock or the integers. Further, Crucially, the mappings to rocks or integers require the computation to be performed elsewhere to generate the mapping. Without the computation occurring externally, the mapping cannot be constructed, and thus, it is misleading to claim that the computation happens 'in' the rock or the integers.

The ability to 'map' Turing machine states to integers implies that we have solved the halting problem — a logical impossibility. But even if we can guarantee the machine halts, the core issue remains: constructing the mapping requires external computation, refuting the idea that the computation occurs in the rock.



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计算功能主义 意识 计算复杂性 普特南 图灵机
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