3 options
Organization, Management, and Expert Systems : Models of Automated Reasoning / Michael Masuch.
- Format:
- Book
- Series:
- De Gruyter studies in organization ; 23.
- de Gruyter Studies in Organization ; 23
- Language:
- English
- Subjects (All):
- Management--Data processing.
- Management.
- Organization--Data processing.
- Organization.
- Expert systems (Computer science).
- Physical Description:
- 1 online resource (ix, 249 pages) : illustrations.
- Edition:
- Reprint 2018
- Place of Publication:
- Berlin ; Boston : De Gruyter, [2018]
- Language Note:
- In English.
- Contents:
- Frontmatter
- Acknowledgements / Masuch, Michael
- Contents
- Introduction. Expert Systems and Organizations / Masuch, Michael
- Chapter 2. Devising Expert Systems in Organization Theory: The Organizational Consultant / Baligh, Helmy H. / Burton, Richard M. / Obel, Børge
- Chapter 3. Creating an Expert System to Design Organizations: DESIGN 6 / Baligh, Helmy H. / Burton, Richard M. / Obel, Børge
- Chapter 4. Formalizing Organizational Theory: A Knowledge-Based Approach / Glorie, Josh C. / Masuch, Michael / Marx, Maarten
- Chapter 5. Building an Artificial Intelligence Model of Management Policy Making: A Tool for Exploring Organizational Issues / Hall, Roger I.
- Chapter 6. Expert Systems Supporting Organization and Information Management / Gazendam, Henk W.M.
- Chapter 7. Environmental and Organizational Interactions in the Design of Knowledge Based Systems: The METAL Case / Hatchuel, Armand / Weil, Benoît
- Chapter 8. Casting Managerial Skills into a Knowledge Based System / Peterson, Tim O. / Fleet, David D. Van
- Chapter 9. A Cost/Benefit Analysis of Expert Systems / Daniels, H.A.M. / Horst, P. van der
- Chapter 10. An Overview of Expert System Principles / Gaag, Linda van der / Lucas, Peter
- About the Authors
- References
- Systematic index
- Backmatter
- Notes:
- Includes bibliographical references (pages [231]-246) and index.
- Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jul 2019)
- ISBN:
- 9783110119428
- 9783110869088 (ebook)
- OCLC:
- 1024011733
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.