Operads for complex system design specification, analysis and synthesis
Abstract
As the complexity and heterogeneity of a system grows, the challenge of specifying, documenting and synthesizing correct, machine-readable designs increases dramatically. Separation of the system into manageable parts is needed to support analysis at various levels of granularity so that the system is maintainable and adaptable over its life cycle. In this paper, we argue that operads provide an effective knowledge representation to address these challenges. Formal documentation of a syntactically correct design is built up during design synthesis, guided by semantic reasoning about design effectiveness. Throughout, the ability to decompose the system into parts and reconstitute the whole is maintained. We describe recent progress in effective modelling under this paradigm and directions for future work to systematically address scalability challenges for complex system design.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 01, 2021
- Source ID
- 10.1098/rspa.2021.0099
Entities
People
- Eswaran Subrahmanian
- John D. Foley
- John M. Dusel
- Spencer Breiner
Organizations
- Carnegie Mellon University
- Defense Advanced Research Projects Agency
- National Institute of Standards and Technology