 In his 1991 book, Microcognition. Andy Clark holds that Searle is right that a computer running Schank’s program does not know anything about restaurants, “at least if by ‘know’ we mean anything like ‘understand’”. But Searle thinks that this would apply to any computational model, while Clark, like the Churchlands, holds that Searle is wrong about connectionist models. Clark’s interest is thus in the brain-simulator reply. The brain thinks in virtue of its physical properties. What physical properties of the brain are important? Clark answers that what is important about brains are “variable and flexible substructures” which conventional AI systems lack. But that doesn’t mean computationalism or functionalism is false. It depends on what level you take the functional units to be. Clark defends “microfunctionalism” – one should look to a fine-grained functional description, e.g. neural net level. Clark cites William Lycan approvingly contra Block’s absent qualia objection – yes, there can be absent qualia, if the functional units are made large. But that does not constitute a refutation of functionalism generally. So Clark’s views are not unlike the Churchlands’, conceding that Searle is right about Schank and symbolic-level processing systems, but holding that he is mistaken about connectionist systems.