Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!bbn!rochester!PT!speech2.cs.cmu.edu!kfl From: kfl@speech2.cs.cmu.edu (Fu Lee) Newsgroups: rec.games.misc,comp.ai,rec.games.board Subject: Re: intercontinental computer - othello match Message-ID: <1072@speech2.cs.cmu.edu> Date: Tue, 6-Oct-87 17:04:05 EDT Article-I.D.: speech2.1072 Posted: Tue Oct 6 17:04:05 1987 Date-Received: Fri, 9-Oct-87 21:59:29 EDT References: <248@nikhefk.UUCP> Organization: Carnegie-Mellon University, CS/RI Lines: 36 Keywords: othello Xref: mnetor rec.games.misc:955 comp.ai:859 rec.games.board:435 In article <248@nikhefk.UUCP>, kvr@nikhefk.UUCP (kees van rijn) writes: > > INTERCONTINENTAL COMPUTER - OTHELLO MATCH > > Last saturday there was a computer-othello match of > MY TURN in The Netherlands with > BILL in the USA. > .... Thanks to Kees for organizing this match, and for this accurate commentary. There were, however, a few misunderstandings which I hope to clarify. > All of us agreed that it is a very hard job to improve > strength of the programs further with known techniques. > According to Kai-Fu, faster machines lead only to marginal > improvement, and better search algorithm is too hard. Actually, I believe faster machines will lead to substantial improvement, as they did for chess. However, making othello hardware is not as fruitful since current programs already outplay humans, and since there are no incentives. I think an improved search algorithm is both more effective and intellectually satisfying. However, our attempts in the past year have not been encouraging. >We think that most improvement of last years is from implementation >of specific othello knowledge into the programs. Actually, the two major contributions from BILL are: (1) encoding all Othello knowledge into tables for fast evaluation, and (2) Bayesian learning of how to combine evaluation features. > kees van rijn > (organizer) Kai-Fu Lee