A model of artificial humor, a machine that tells jokes, or at least inputs jokes and outputs whether or not they are funny. Identify associations of the form (A ~ B) and (B ~ C) in the audience language model where (A ~ C) is believed to be false or unlikely through other associations. Test whether the joke activates A, B, and C by association to induce the association (A ~ C).
This approach differs from pattern recognition and machine learning techniques used in other text classification tasks such as spam detection or information retrieval: a joke is only funny the first time you hear it. That's because once you form the association (A ~ C), it is added to the language model and you no longer have the prerequisites for the joke. Example 1: Q. Why did the chicken cross the road? A. To get to the other side. (I know, not funny, but pretend you haven't heard it). We have: A ~ B: Chickens have legs and can walk. B ~ C: People walk across the road for a reason. A ~ C: Chickens have human-like motivations. Example 2 requires a longer associative chain: (A comment about Sarah Palin) A vice president who likes hunting. What could go wrong? It invokes the false conclusion: (Sarah Palin ~ hunting accident) by inductive reasoning: (Sarah Palin ~ vice president ~ Dick Cheney ~ hunting accident) and (Sarah Palin ~ hunting ~ hunting accident). Note that all of the preconditions must be present for the joke to work. For example, the joke would not be funny if told about Joe Biden (doesn't hunt), George W. Bush (not vice president), or if you were unaware of Dick Cheney's hunting accident or that he was vice president. In order for a language model to detect the joke as funny, it would have to know that you know all four of these facts and also know that you haven't heard the joke before. Humor detection obviously requires a sophisticated language model and knowledge of popular culture, current events, and what jokes have been told before. Since entertainment is a big sector of the economy, an AGI needs all human knowledge, not just knowledge that is work related. -- Matt Mahoney, [EMAIL PROTECTED] ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=111637683-c8fa51 Powered by Listbox: http://www.listbox.com
