Fred Dretske

(1932 - 2013)

In “Laws of Nature” [1] I argued that natural laws are not universal truths. Laws have properties that enable them to function in a special way. Since universal truths do not have these properties, they cannot be promoted to the status of laws by assigning them this function, by using them in the way laws are typically used. To suppose that we could effect this transformation by the way we used a generalization is like supposing that we could make thumb tacks into garden hoses by using them to water flowers. It will not work. Thumb tacks lack the requisite structure. Hence, they cannot be used in the way garden hoses are normally used. And universal truths lack the properties that would enable them to function, and thereby qualify, as laws of nature.

If consciousness is good for something, conscious things must differ in some causally relevant way from unconscious things. If they do not, then, as Davies and Humphreys conclude, too bad for consciousness: ‘psychological theory need not be concerned with this topic.’Davies and Humphreys are applying a respectable metaphysical idea — the idea, namely, that if an object's having a property does not make a difference to what that object does, if the object's causal powers are in no way enhanced by its possession of this property, then nothing the object does can be explained by its having that property. A science dedicated to explaining the behavior of such objects would not have to concern itself with that property. That is why being an uncle is of no concern to the psychology of uncles. I am an uncle, yes, but my being so does not enable me to do anything I would not otherwise be able to do.

Though one believes that P is true, one can have reasons for thinking it false. Yet, it seems that one cannot know that P is true and (still) have reasons for thinking it false. Why is this so? What feature of knowledge (or of reasons) precludes having reasons or evidence to believe (true) what you know to be false? If the connection between reasons (evidence) and what one believes is expressible as a probability relation, it would seem that the only satisfactory explanation of this fact is that when one knows that P is true, the reasons or evidence one has in support of P are such as to confer upon P the probability of 1. It is shown by an application of Bayes' Theorem that any value smaller than 1 would permit having reasons to believe what one knows to be false. Hence, it would seem that knowledge requires conclusive reasons to believe (if reasons or evidence is required at all)

Causal explanations of behavior must distinguish two kinds of cause. There are triggering causes, the events or conditions that come before the effect and are followed regularly by the effect, and structuring causes, events that cause a triggering cause to produce its effect. Moving the mouse is the triggering cause of cursor movement; hardware and programming conditions are the structuring causes of cursor movement. I use this distinction to show how representational facts can be structuring causes of behavior even though biological events trigger the behavior.