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A CAD tool for supermind design

Author(s)
Boumhaout, El Bachir.
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Download1227274470-MIT.pdf (6.245Mb)
Alternative title
Computer-Aided Design tool for supermind design
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Thomas W. Malone.
Terms of use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
The rise of information technology has paved the way for a world that is more connected than ever before. This accelerated the prominence of collective intelligence as an attribute of groups and systems of individuals collaborating, or competing together to innovate and solve complex problems. We define these systems as superminds. In this thesis, I present a CAD (Computer-Aided Design) tool for designing and configuring superminds. This tool is based on the supermind design methodology developed at the MIT Center for Collective Intelligence. It aims to enable users to generate innovative possibilities for how to design various systems, especially the ones with human-computer combinations. The design tool is augmented by a design library that hosts a knowledge base for organizational design, business activities, and processes. The library relies on systematic taxonomies to organize its content and introduces a new framework of how to think about process and knowledge management in organizational design. These software tools aim to make the supermind design methodology accessible, and allow managers, consultants, and others to design transformational projects that drive innovation and harnesses the collective intelligence of their organizations.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020
 
Cataloged from student-submitted PDF of thesis.
 
Includes bibliographical references (page 57).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/129130
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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  • Electrical Engineering and Computer Sciences - Master's degree

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