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A Dynamic Workflow Framework For Mass Customization Using Web Service And Autonomous Agent Technologies, Daniel J. Karpowitz
A Dynamic Workflow Framework For Mass Customization Using Web Service And Autonomous Agent Technologies, Daniel J. Karpowitz
Theses and Dissertations
Custom software development and maintenance is one of the key expenses associated with developing automated systems for mass customization. This paper presents a method for reducing the risk associated with this expense by developing a flexible environment for determining and executing dynamic workflow paths. Strategies for developing an autonomous agent-based framework and for identifying and creating web services for specific process tasks are presented. The proposed methods are outlined in two different case studies to illustrate the approach for both a generic process with complex workflow paths and a more specific sequential engineering process.
Swarm Intelligence: Theoretical Proof That Empirical Techniques Are Optimal, Dmitry Iourinskiy, Scott A. Starks, Vladik Kreinovich, Stephen F. Smith
Swarm Intelligence: Theoretical Proof That Empirical Techniques Are Optimal, Dmitry Iourinskiy, Scott A. Starks, Vladik Kreinovich, Stephen F. Smith
Departmental Technical Reports (CS)
A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).