| Abstract |
Reasoning is a cornerstone of human intelligence and AI has been trying for 60 years to reimplementing it with machines. In the Semantic Web, reasoning is a well-defined logical process, and even though we are not yet able to perform it over the entire Web, current research has shown how it can be successfully applied over very large amounts of data.
We are now at the point where we can study reasoning and the Semantic Web in more detail, looking for general principles that we can reuse to achieve our original goal of (re)implementing human intelligence.
In this talk, I will first talk about three possible laws that we can extract from reasoning on the current Semantic Web. Then, I will speculate on what level the Semantic Web reflects human knowledge, and whether such laws can also be applied to humans. Finally, I will discuss reasoning in more general terms, and point out some of the still missing things that we need to have truly reasonable machines. |