Computational Theory for Lawyers
Computational Theory is a branch of mathematics that morphed into computer science. Among its goals is to look at a problem and ask: Is there a series of steps that will solve this problem? Those steps are also known as an algorithm, and finding a fast & efficient algorithm for something people care about, such as searching for a piece of information, is often a great way to start a business.
Groklaw has an interesting (and very long) discussion about computational theory and how it applies to patent law. From the article:
For example consider I write a program. Some outside party has written a similar program. This party sees my program and thinks I infringe on his proprietary rights. There are two scenarios depending on whether he makes his claim according to copyright law or patent law.
For claims of copyright infringement the text of the source code matters. If I wrote my program independently and I can prove the texts are different, I don't infringe on his rights. This is an intensional point of view.
For claims of patent infringement then differences in the text of the source code won't matter. It won't even matter if the code is written in a different programming language. If my program uses the same method that is covered by the patent according to whatever legal test of "same method" is applicable, I will infringe. This is an extensional perspective.
The notion of an intensional and extensional perspectives is actually an amazing insight into the world of mathematics that I hope to discuss more as I make my way through the excellent book Autonomy of Mathematical Knowledge by Curtis Franks. (Disclosure: the author is a friend of mine.)
The basic question is how can we say that two items or methods "are the same?" In what way are they the same? Computational theory suggests that two methods are the same if they are reducible to each other. That is, if under the same circumstances they both produce the same result, the methods are considered the same.
- See Review: The Autonomy of Mathematical Knowledge for my review of that book.