Statecharts: A visual formalism for complex systems
Science of Computer Programming
Object-oriented systems analysis: a model-driven approach
Object-oriented systems analysis: a model-driven approach
OOPSLA '92 conference proceedings on Object-oriented programming systems, languages, and applications
Cardinality constraints in semantic data models
Data & Knowledge Engineering
Conceptual schema and relational database design (2nd ed.)
Conceptual schema and relational database design (2nd ed.)
Object-oriented systems implementation: a model-equivalent approach
Object-oriented systems implementation: a model-equivalent approach
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Object Database Development: Concepts and Principles
Object Database Development: Concepts and Principles
Executable UML: A Foundation for Model-Driven Architectures
Executable UML: A Foundation for Model-Driven Architectures
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
A Seamless Model for Object-Oriented Systems Development
ISOOMS '94 Proceedings of the International Symposium on Object-Oriented Methodologies and Systems
OOER '95 Proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
The World Is Flat [Updated and Expanded]: A Brief History of the Twenty-first Century
The World Is Flat [Updated and Expanded]: A Brief History of the Twenty-first Century
Attention Focusing Model for Nexting Based on Learning and Reasoning
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
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The new field of active conceptual modeling for learning from surprises (ACM-L) may be helpful in preserving life, protecting property, and improving quality of life. The conceptual modeling community has developed sound theory and practices for conceptual modeling that, if properly applied, could help analysts model and predict more accurately. In particular, we need to associate more semantics with links, and we need fully reified high-level objects and relationships that have a clear, formal underlying semantics that follows a natural, ontological approach. We also need to capture more dynamic aspects in our conceptual models to more accurately model complex, dynamic systems. These concepts already exist, and the theory is well developed; what remains is to link them with the ideas needed to predict system evolution, thus enabling risk assessment and response planning. No single researcher or research group will be able to achieve this ambitious vision alone. As a starting point, we recommend that the nascent ACM-L community agree on a common core model that supports all aspects--static and dynamic--needed for active conceptual modeling in support of learning from surprises. A common core will more likely gain the traction needed to sustain the extended ACM-L research effort that will yield the advertised benefits of learning from surprises.