Systems Statistical Engineering – Systems Hierarchical Constraint Propagation

Cotter (ASEM-IAC 2012, 2015, 2016, 2017): (1) identified the gaps in knowledge that statistical engineering needed to address and set forth a working definition of and body of knowledge for statistical engineering; (2) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework; (3) specified the modeling methodology through which statistical engineering models could be developed, diagnosed, and applied to predict systemic mission performance; and (4) proposed revisions to and integration of IDEF0 as the framework for developing hierarchical qualitative systems models. In the last work, Cotter (2017) noted that a necessary dimension of the systems statistical engineering body of knowledge is hierarchical constraint propagation to assure that imposed environmental economic, legal, political, social, and technical constraints are consistently decomposed to subsystems , modules, and components and that modules, and subsystems socio-technical constraints are mapped to systemic mission performance. This paper presents systems theory, constraint propagation theory, and Bayesian constrained regression theory relevant to the problem of systemic hierarchical constraint propagation and sets forth the theoretical basis for their integration into the systems statistical engineering body of knowledge

On Automated Message Processing in Electronic Commerce and Work Support Systems: Speech Act Theory and Expressive Felicity

Electronic messaging, whether in an office environment or for electronic commerce, is normally carried out in natural language, even when supported by information systems. For a variety of reasons, it would be useful if electronic messaging systems could have semantic access to, that is, access to the meanings and contents of, the messages they process. Given that natural language understanding is not a practicable alternative, there remain three approaches to delivering systems with semantic access: electronic data interchange (EDI), tagged messages, and the development of a formal language for business communication (FLBC). We favor the latter approach. In this article we compare and contrast these three approaches, present a theoretical basis for an FLBC (using speech act theory), and describe a prototype implementation

Search and Preference-Based Navigation in Electronic Shopping

The aim of this paper is to address the requirements for electronic shopping systems. Large-scale computerized electronic shopping systems need to accommodate both (a) a large number of products, many of which are close substitutes, and (b) a heterogeneous body of customers who have complex, multidimensional â and perhaps rapidly changing â preferences regarding the products for sale in the system. Further, these systems will have to be designed in a manner so as to both (c) reduce the complexity of the shopping problem from the customerâs point of view, and (d) effectively and insightfully match products to customersâ needs. We show has an abstraction hierarchy with an imposed distance metric provides the necessary elements to implement the desired features. Further, we indicate how the distance metric, in the context of the abstraction hierarchy, can be interpreted as a unidimensional utility function. Finally, we extend the single dimensional (single perspective) treatment to multiple dimensions, or perspectives, and show how the resulting representation can be interpreted as a multiattribute utility function. We argue that the resulting function is plausible and, most importantly, testable.Information Systems Working Papers Serie