Blockhead Argument
Updated 2026-08-05
INTRODUCTION
English translation pending.
CORE DEFINITION
A thought experiment raised in debates about machine intelligence and associated with Ned Block, imagining a device that holds an exhaustive lookup table of all possible conversations and produces appropriate replies without any internal understanding. It would satisfy behavioral tests of intelligence while plainly lacking a mind. The core claim is that passing a behavioral test is not sufficient for intelligence. The qualification is that the argument targets the sufficiency of behavioral tests rather than claiming that machines cannot think.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use Lookup Versus Grasp: Ask whether someone reasons from the underlying structure or recites memorized answers. - Use Domain Test: Check whether performance survives a shift to inputs the table never covered. - Use Vastness Audit: Estimate how large the stored-answer space would need to be, since it explodes outside narrow domains.
Anchor fast decisions
A lookup table works only where the space of possible inputs is small enough to enumerate in advance. In any open domain the number of situations grows combinatorially, so the table becomes impossible to build and cannot generalize to unseen cases. Genuine understanding instead compresses the domain into rules that generate correct responses on inputs never encountered, which is why performance that holds up outside the training distribution indicates something other than retrieval.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Blockhead_(thought_experimentverified
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