Access the full text.
Sign up today, get DeepDyve free for 14 days.
[Our logical analysis of abduction in the previous chapter is in a sense, purely structural. It was possible to state how abductive explanatory logic behaves, but not how abductive explanations are generated. In this chapter we turn to the question of abduction as a computational process. There are several frameworks for computing abductions; two of which are logic programming and semantic tableaux. The former is a popular one, and it has opened a whole field of abductive logic programming [KKT95] and [FK00]. The latter has also been proposed for handling abduction [MP93] and [AN04], and it is our preference here. Semantic tableaux are a well-motivated standard logical framework. But over these structures, different search strategies can compute several versions of abduction with the non-standard behaviour that we observed in the preceding chapter. Moreover, we can naturally compute various kinds of abducibles: atoms, conjunctions or even conditionals. This goes beyond the framework of abductive logic programming, in which abducibles are atoms from a special set of abducibles.]
Published: Jan 1, 2006
Keywords: Logic Programming; Abductive Reasoning; Open Branch; Closed Extension; Conjunctive Form
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.