The future of data policy
Fitzgerald, Anne M., Fitzgerald, Brian Francis and Pappalardo, Kylie Maria. (2009) The future of data policy. In In T. Hey, S. Tansley and K. Tolle (Ed.). The fourth paradigm: Data-intensive scientific discovery pp. 201 - 208 Microsoft Corporation.
|Authors||Fitzgerald, Anne M., Fitzgerald, Brian Francis and Pappalardo, Kylie Maria|
|Editors||T. Hey, S. Tansley and K. Tolle|
In this paper we describe Task-Based Problem Solving Adapters (TPSAs) for modeling a human solution (through activity-centered analysis) to a software solution (in form of computer-based artifact). TPSAs are derived from the problem solving pattern or consistent problem solving structures/strategies employed by practitioners while designing solutions to complex problems. The adapters developed by us lead toward human-centeredness in their design and underpinning that help us to address the pragmatic task constraints through a range of technologies like neural networks, fuzzy logic, and genetic algorithms. We also outline an example of applying the TPSAs to develop a working system for assisting sales engineers of an electrical manufacturing firm in preparing indent and monitoring the status of orders in the company.
|Page range||201 - 208|
|Book title||The fourth paradigm: Data-intensive scientific discovery|
|Place of publication||United States of America|
|Research Group||Thomas More Law School|
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