John R Searle

Mind, Brains and Programs by John R. Searle discusses the idea of AI, specifically Strong AI. I will argue that his comments on AI being impossible to develop are incorrect. Searle had discussed many points but thinks too low of what makes up the intentionality he supports.
(47 words) John R. Searle discusses AI with several points. They can be summed up into five points. The 1st point as well as 2nd point compare living animal’s ‘intentionality’ being based on the causal features and comparing them to computer programs not being sufficient enough to have ‘intentionality’. Searle illustrates this with his “Chinese room” experiment. The room contains a person who speaks English (say code) if the person knows no Chinese and is given Chinese letters and asked for a response he would not be able to respond. If he is given instructions on how to describe the letters in English he can spit out responses based on the
If the symbol for tree looks like a tree then we know it means tree, if it is a symbol for fire and it’s encapsulated in fire we may assume it means fire or burning. So instead of knowing English AI can know things, objects images and use them to learn Chinese. In fact this is how Google search engine does its image searching. While this is not an expression of AI that can be compared to us as it shows Intentionality but not cognitive action, it does demonstrate a path of learning information and disproving the Chinese Symbol experiment as being the biggest possible accomplishment for a machine. The step at which Causal powers mentioned in 4th point is when the machine can make correlations between tree and fire and know that one can burn the other. This last bit can only be achieved if it has a memory of fire as we as toddlers are told it burns or have experienced pain from fire. Therefore it goes back to the overlaid information with use of inputs and