Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!decvax!decwrl!pyramid!hplabs!ucbvax!SU-AI.ARPA!VAL From: VAL@SU-AI.ARPA.UUCP Newsgroups: mod.ai Subject: Seminar - Non-monotonicity in Probabilistic Logic (SU) Message-ID: <8605270702.AA02273@ucbvax.Berkeley.EDU> Date: Tue, 13-May-86 18:11:00 EDT Article-I.D.: ucbvax.8605270702.AA02273 Posted: Tue May 13 18:11:00 1986 Date-Received: Tue, 27-May-86 17:49:08 EDT Sender: daemon@ucbvax.BERKELEY.EDU Organization: The ARPA Internet Lines: 26 Approved: ailist@sri-ai.arpa NON-MONOTONICITY IN PROBABILISTIC LOGIC Benjamin Grosof Computer Science Department, Stanford University Thursday, May 15, 4pm MJH 252 I will discuss how to formalize the notion of non-monotonicity in probabilistic reasoning, using the framework of Probabilistic Logic (cf. Nils Nilsson). I will give some motivating examples of types of non-monotonic probabilistic reasoning that seem to be found in practice. There seems to be a relationship to default inheritance, i.e. prioritized defaults of the type used in classic example of whether birds and ostriches fly. Next, I introduce the idea of maximizing conditional independence, which can be thought of as maximizing irrelevance. This can be described more simply in terms of non-monotonic reasoning on Graphoids (cf. Judea Pearl). I conjecture that an important type of non-monotonicity in probabilistic reasoning may be concisely expressed in terms of conditional independence and Graphoids. Finally, I pose as an open question how to formulate in the above terms the non-monotonic behavior of maximizing entropy, a widely-used technique in probabilistic reasoning.