SMALLTALK-80: the interactive programming environment
SMALLTALK-80: the interactive programming environment
A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Commonsense reasoning about causality: deriving behavior from structure
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Expert systems: artificial intelligence in business
Expert systems: artificial intelligence in business
Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Utilizing multilevel models and reasoning for diagnosis of a complex electro-mechanical system
IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Research methods in computing: what are they, and how should we teach them?
ITiCSE-WGR '06 Working group reports on ITiCSE on Innovation and technology in computer science education
Assessing the risk of intercepting VoIP calls
Computer Networks: The International Journal of Computer and Telecommunications Networking
Risk assessment in practice: A real case study
Computer Communications
Towards more secure systems: how to combine expert evaluations
Proceedings of the 4th international conference on Security and privacy in communication netowrks
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Risk assessment of technological processes (chemical and power plants, electro-mechanical systems) is a complex process that requires enumeration of all possible failure modes, their probability of occurrence, and their consequences. Traditionally such studies have been performed by a committee of expert engineers with diverse backgrounds. This paper discusses the use of qualitative modeling techniques based on deriving behavior from structural descriptions and causal reasoning to aid automating and enhancing the risk analysis process. Hierarchical schemes are used for describing component structure, and system functionality is derived from a set of primitive functions and parameters defined for the domain. The system uses these models to automatically generate fault and event networks for hypothesized fault situations specified by users.