Knowledge Systems Laboratory
 | This article includes a list of general references but lacks sufficient corresponding inline citations. (January 2013) |
Knowledge Systems Laboratory (KSL) was an artificial intelligence research laboratory within the Department of Computer Science at Stanford University until 2007, located in the Gates Computer Science Building, Stanford.[1] Work focused on knowledge representation for shareable engineering knowledge bases and systems, computational environments for modelling physical devices, architectures for adaptive intelligent systems, and expert systems for science and engineering.[2]
KSL had projects with Stanford Medical Informatics (SMI), the Stanford Artificial Intelligence Lab (SAIL), the Stanford Formal Reasoning Group (SFRG), the Stanford Logic Group, and the Stanford Center for Design Research (CDR).
Past members
This is a partial list (in alphabetical order) of past members:
- Edward Feigenbaum
- Richard Fikes
- Diana E. Forsythe
- Tom Gruber
- William Clancey
- Alon Y. Halevy
- Deborah L. McGuinness
- Paulo Pinheiro
- Derek H. Sleeman
- Barbara Hayes-Roth
- Bruce G. Buchanan
- Ruth Duran Huard
- Lee Brownston
References
- ^ "Knowledge Systems Laboratory". Knowledge Systems, Stanford Laboratory. Archived from the original on 12 September 2005. Retrieved 12 December 2018.
- ^ This article is based on material taken from Knowledge+Systems+Laboratory at the Free On-line Dictionary of Computing prior to 1 November 2008 and incorporated under the "relicensing" terms of the GFDL, version 1.3 or later.
- Archived Publications: "The Edward A. Feigenbaum Papers: Work in Artificial Intelligence and Computer Science at Stanford University". Stanford University Libraries. Retrieved 22 July 2018.
37°25′48″N 122°10′24″W / 37.43000°N 122.17333°W
 | This computer science article is a stub. You can help Wikipedia by adding missing information. |
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.