Title
Probabilistic System Summaries for Behavior Architecting
Author
Borth, M.
Publication year
2015
Abstract
Smart system of systems adapt to their context, current situation, and configuration. To engineer such systems’ behavior, we need to design and eval-uate system-level control strategies and the intelligent management of key scenarios. We propose a model-based approach called probabilistic system summaries to explore related design choices, e.g., where to put the ‘smarts’ of a smart building. Our approach uses Bayesian inference to calculate effects of strategies and implementations, offering causal analysis of the costs and bene-fits of decision strategies in key scenarios. As the modeling is light-weight and suitable for various abstraction levels, probabilistic system summaries are appropriate for early but sound architecture decisions based on computational science. Next to its use within this analysis, the product of this engineering step, i.e., a Bayes net summarizing systems plus their environment, may form the core of decision making within the system of system.
Subject
Communication & Information
ESI - Embedded Systems Innovation
TS - Technical Sciences
Informatics
Information Society
Probalistic
Smart system
Bayesian inference
System of systems
To reference this document use:
http://resolver.tudelft.nl/uuid:60a35d16-724a-4ad7-bee2-4f2258fd4ffa
TNO identifier
519736
Publisher
Springer
Source
Complex Systems Design & Management
Bibliographical note
Ook uitgegeven als: 2014 Poster Workshop at the 5th International Conference on Complex System Design and Management, and M 2014; Paris; France; 12 November 2014 through 12 November 2014 CEUR Workshop Proceedings volume 1234, 2014, Pages 71-82
Document type
bookPart