From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-1.9 required=5.0 tests=BAYES_00,FREEMAIL_FROM autolearn=ham autolearn_force=no version=3.4.4 X-Google-Thread: 103376,f5df45e727f63e9c X-Google-NewGroupId: yes X-Google-Attributes: gida07f3367d7,domainid0,public,usenet X-Google-Language: ENGLISH,UTF8 Path: g2news2.google.com!news3.google.com!fu-berlin.de!news.swapon.de!aioe.org!.POSTED!not-for-mail From: =?utf-8?Q?Yannick_Duch=C3=AAne_=28Hibou57?= =?utf-8?Q?=29?= Newsgroups: comp.lang.ada Subject: Re: NAO Robot : is Ada there too ? Date: Mon, 13 Jun 2011 17:50:13 +0200 Organization: Ada @ Home Message-ID: References: NNTP-Posting-Host: 3xAJWrzGXlabyd/6PLJTtQ.user.speranza.aioe.org Mime-Version: 1.0 Content-Type: text/plain; charset=utf-8; format=flowed; delsp=yes Content-Transfer-Encoding: Quoted-Printable X-Complaints-To: abuse@aioe.org User-Agent: Opera Mail/11.11 (Linux) X-Notice: Filtered by postfilter v. 0.8.2 Xref: g2news2.google.com comp.lang.ada:20764 Date: 2011-06-13T17:50:13+02:00 List-Id: Le Mon, 13 Jun 2011 11:39:43 +0200, Dmitry A. Kazakov = a =C3=A9crit: > I doubt that Prolog can be useful for the AI deployed in a robot. Ther= e = > is not much inference it would do, more problems like path finding, = > which are not logical. Further, even considering logical problems you = = > rather need > fuzzy inference than Prolog's stuff. And certainly Prolog is absolutel= y > useless for image processing and control. I started some time ago (not yet finished) a Prolog interpreter (actuall= y = in SML, the final implementation is planned to be Ada), in the purpose t= o = solve some things I don't like with typical Prolog interpreters like = SWI-Prolog (mostly with handling of infinite recursions, which I handle = as = something which is interpretable, and the so called Cut, which I dropped= ). = As I worked on this, I can say with reasonable belief, that unification = = may use weighting, instead of exact match. This would open the door to = real-world non-strictly symbolic data. Note that this would not be so mu= ch = far from fuzzy logic. Then, logic is mainly a matter of coherence, and i= s = not restricted to boolean algebra: any coherent system has logic. And th= e = one of Prolog is natural enough: it maps well the way live forms, = including humans, learns thing from their environment, =E2=80=9CThis is = similar to = That, I already encountered / I already know=E2=80=9D, and this can incl= ude any = kind of form recognition (pattern matching, by the way, is a kind of for= m = recognition, the abstract way). Then, any fuzzy measurements, in AI, = should probably be finally stored as a kind of symbolic data finally = (abstracted down). This would just require dynamic creation of symbols. = I = honestly do not see any other way to do: complex data needs to be = abstracted down, because the system must incorporate more and more = knowledge, without growing linearly (compared to the quantity of data it= = has handled). Finally, this ends to reduce complex data to symbols. -- = =E2=80=9CSyntactic sugar causes cancer of the semi-colons.=E2=80=9D [Ep= igrams on = Programming =E2=80=94 Alan J. =E2=80=94 P. Yale University] =E2=80=9CStructured Programming supports the law of the excluded muddle.= =E2=80=9D [Idem] =E2=80=9Cc++; /* this makes c bigger but returns the old value */=E2=80=9D= [Anonymous]