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Thursday, February 16, 2006

Challenge problem à

Generative Methodology Glass Bead Games

n-articulated ontological framework

On using RDF to model biological expression

Link back to part of the “solution” to translations between

RDF / OWL and Models of Information à- [167]

Concurrent Anticipatory web discussion à [30]

Discussion on expressiveness

Communication from a colleague working on FERA

(Federated Enterprise Reference Model), an OASIS standard.

Paul.

we have researched complexity of electromechanical systems for several years. We have limited ourselves to structural complexity analysis, because behavioral complexity is extremely difficult to analyze. However, these two types intertwine in real life. In FERA we have used an ontology based extension of structural complexity to the behavioral, using patterns analysis. E.g. when you submerge a structured system into an unknown surroundings, what structural adaptations or configurations will it assume to respond to the interactions in that environment. Thus, FERA deals with contexts of business processes applying ontology based structural patterns analysis. Ontology defines the interactions in the system environment, structural pattern defines the system response. This is a limited applicability, but it is good for three reasons:

- for a designed system you can use database constructs to represent it, - you can apply ontology to patterns of interaction within the system environment to analyze complexity of its behaviors; - you can define the boundary beyond which the structural patterns of interaction do not represent behavior with good approximation.

Either way, you can blend structural complexity analysis with behavioral complexity analysis by extending structural patterns of interaction using ontology. This is particularly handy in modeling system of systems and communities of interest where you have to blend control with uncertainty into a unified model for analysis and simulation.