Top Document: FAQ: Expert System Shells 1/1 [Monthly posting] Previous Document: [1-4] Note about 'Real-Time' expert systems Next Document: [1-5b] Free/Cheap Expert System Shells: CLIPS and Related Systems See reader questions & answers on this topic! - Help others by sharing your knowledge Remember, when ftping compressed or compacted files (.Z, .gz, .arc, .fit, etc.) to use binary mode for retrieving the files. Files that end with a .gz suffix were compressed with the patent-free gzip (no relation to zip). Source for gzip is available from: prep.ai.mit.edu:pub/gnu/{gzip-1.2.3.shar,gzip-1.2.3.tar,gzip-1.2.3.msdos.exe} If you do not have ftp access, you can FTP files by E-mail. Send a message with the word "help" in the body to ftpmail@decwrl.dec.com. FOCL is an expert system shell and machine learning program written in Common Lisp. The machine learning program extends Quinlan's FOIL program by containing a compatible explanation-based learning component. FOCL learns Horn Clause programs from examples and (optionally) background knowledge. The expert system includes a backward-chaining rule interpreter and a graphical interface to the rule and fact base. For details on FOCL, see: Pazzani, M. and Kibler, D., "The role of prior knowledge in inductive learning", Machine Learning 9:54-97, 1992. It is available by anonymous ftp from ftp://ics.uci.edu/pub/machine-learning-programs/ as the files README.FOCL-1-2-3, FOCL-1-2-3.cpt.hqx (a binhexed, compacted Macintosh application), FOCL-1-2-3.tar.Z (Common Lisp source code), and FOCL-1-2-3-manual.hqx (binhexed manual). If you use a copy of FOCL, or have any comments or questions, send mail to pazzani@ics.uci.edu. SOAR -- ftp.cs.cmu.edu: /afs/cs.cmu.edu/project/soar/public/Soar5/ -- Lisp Version /afs/cs.cmu.edu/project/soar/public/Soar6/ -- C Version Contact: soar-request@cs.cmu.edu Integrated Agent Architecture. Supports learning through chunking. OPS5 -- ftp.cs.cmu.edu:/user/ai/areas/expert/systems/ops5/ops5.tar.gz BABYLON is a development environment for expert systems. It includes frames, constraints, a prolog-like logic formalism, and a description language for diagnostic applications. It is implemented in Common Lisp and has been ported to a wide range of hardware platforms. Available by anonymous ftp from ftp.gmd.de:/gmd/ai-research/Software/Babylon/ [129.26.8.84] as a BinHexed stuffit archive, on the Web via the URL http://www.gmd.de/ on the Apple CD-ROM, or with the book "The AI Workbench BABYLON", which contains *full source code* of BABYLON and the stand-alone version for the Mac. The book describes the use of BABYLON in detail. MOBAL is a system for developing operational models of application domains in a first order logic representation. It integrates a manual knowledge acquisition and inspection environment, an inference engine, machine learning methods for automated knowledge acquisition, and a knowledge revision tool. By using MOBAL's knowledge acquisition environment, you can incrementally develop a model of your domain in terms of logical facts and rules. You can inspect the knowledge you have entered in text or graphics windows, augment the knowledge, or change it at any time. The built-in inference engine can immediately execute the rules you have entered to show you the consequences of your inputs, or answer queries about the current knowledge. MOBAL also builds a dynamic sort taxonomy from your inputs. If you wish, you can use several machine learning methods to automatically discover additional rules based on the facts that you have entered, or to form new concepts. If there are contradictions in the knowledge base due to incorrect rules or facts, there is a knowledge revision tool to help you locate the problem and fix it. MOBAL (release 3.0b) is available free for non-commercial academic use by anonymous ftp from ftp.gmd.de:/gmd/mlt/Mobal/ The system runs on Sun SparcStations, SunOS 4.1, and includes a graphical interface implemented using Tcl/TK. MIKE (Micro Interpreter for Knowledge Engineering) is a full-featured, free, and portable software environment designed for teaching purposes at the UK's Open University. It includes forward and backward chaining rules with user-definable conflict resolution strategies, and a frame representation language with inheritance and 'demons' (code triggered by frame access or change), plus user-settable inheritance strategies. Automatic 'how' explanations (proof histories) are provided for rule exectuion, as are user-specified 'why' explanations. Coarse-grained and fine-grained rule tracing facilities are provided, along with a novel 'rule graph' display which concisely shows the history of rule execution. MIKE, which forms the kernel of an Open University course on Knowledge Engineering, is written in a conservative and portable subset of Edinburgh-syntax Prolog, and is distributed as non-copy-protected source code. MIKE version 1 was described in the October/November 1990 issue of BYTE. MIKE v1.50, which was formerly available from a range of ftp servers, has been superseded by two newer versions: MIKEv2.03, a full Prolog source code version, incorporating a RETE algorithm for fast forward chaining, a truth maintenance system, uncertainty handling, and hypothetical worlds, and MIKEv2.50, a turnkey DOS version with menu-driven interface and frame- and rule-browsing tools, fully compatible with MIKEv2.03, but without source code. They are available by anonymous ftp from hcrl.open.ac.uk [137.108.81.16] as the files MIKEv2.03: /pub/software/src/MIKEv2.03/* MIKEv2.50: /pub/software/pc/MIKEV25.ZIP They are also available from the CMU AI Repository. For further information, please contact Marc Eisenstadt, M.Eisenstadt@open.ac.uk, Human Cognition Research Lab, The Open University, Milton Keynes MK7 6AA, UK, phone +44 908-65-3149, fax +44 908-65-3169. ES: The October/November 1990 issue of BYTE also described the ES expert system. ES supports backward/forward chaining, fuzzy set relations, and explanation, and is a standalone executable for IBM-PCs. ES is available by anonymous ftp from ftp.uu.net:/pub/ai/expert-sys/ [192.48.96.9] as summers.tar.Z. ftp.uu.net is mirrored on unix.hensa.ac.uk [129.12.21.7] under /pub/uunet/. WindExS (Windows Expert System) is a fully functional Windows-based forward chaining expert system. Its modular architecture allows the user to substitute new modules as required to enhance the capabilites of the system. WindExS sports Natural Language Rule Processor, Inference Engine, File Manager, User Interface, Message Manager and Knowledge Base modules. It supports forward chaining, and graphical knowledge base representation. Write etoupin@aol.com for documentation and operational system. RT-Expert is a shareware expert system that lets C programmers integrate expert systems rules into their C or C++ applications. RT-Expert consists of a rule-compiler that compiles rules into C code, and a library containing the rule execution engine. RT-Expert for DOS works with Borland Turbo C, Borland C++, and Microsoft C/C++ compilers. The personal edition is licensed for educational, research, and hobby use. Applications created with RT-Expert personal edition are not licensed for commercial purposes. Professional editions are available for commercial applications using DOS, Windows, and Unix environments. RT-Expert is available by anonymous ftp from world.std.com:/vendors/rtis/rtexpert For more information, write to Real-Time Intelligent Systems Corporation <rtis@world.std.com>. User Contributions:Top Document: FAQ: Expert System Shells 1/1 [Monthly posting] Previous Document: [1-4] Note about 'Real-Time' expert systems Next Document: [1-5b] Free/Cheap Expert System Shells: CLIPS and Related Systems Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: mkant+ai-faq@cs.cmu.edu
Last Update March 27 2014 @ 02:11 PM
|
Comment about this article, ask questions, or add new information about this topic: