Model for assigning roles automatically in egovernment virtual organizations

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Contributors

Ferdi, Koen, Olivier, Sarah Laktit, Sybe

Authors: C. Zato, J.F. De Paz, A. de Luis, J. Bajo, J.M. Corchado

Publication Year: 2012

Source: http://www.sciencedirect.com/science/article/pii/S0957417412002138#

Journal: Expert Systems with Applications

Volume: 39

Issue: 12

Categories: Digital Transformation, Virtual Organizations


Abstract

When working in conjunction with multi-agent systems, virtual organizations attempt to simulate the functions and interactions of entities in different environments. Recent studies have addressed the problem of assigning roles to agents that form part of the organization, and incorporating new agents to carry out certain tasks. However, these studies are limited to defining the norms and rules that determine the behavior of the organization. The present study proposes a virtual organization model for e-government environments to assign resources and minimize the required personnel by forecasting workloads. This article has presented a virtual organization model with a task planning mechanism that can make recommendations when distributing tasks in a dynamic environment. Virtual organizations were proposed as the mechanism for a business model and included all of the characteristics that compose a real life scenario. Because of their many advantages, virtual organizations are ideal for simulating the behavior of a business entity in which planning and coordination are the keys to success. A neural network, queuing theory, and CBR are used to obtain an efficient distribution. The use of the neural network as a mechanism for exploring the search area and achieving optimal productivity was effective within the proposed problem, which is characterized by the complexity that results from the significant number of options and combinations available. Queuing theory can establish the number of agents with a specific role that are necessary to maximize profits, while the network distributes roles among agents according to their respective efficiency. Both methods were satisfactorily incorporated into the CBR reasoning cycle, specifically in the reuse phase. This demonstrates once again the facility in extending the CBR-BDI architecture to incorporate different techniques in its functionality. The final part of the paper is focused on validating the plan developed inside a case study centered on e-government in order to obtain empirical results.The proposed model was developed using a real-life scenario, with the e-Administration providing a detailed explanation of the required steps for adapting the model, identifying the roles, and other details regarding the characterization of the different tasks. Finally, one of the principal achievements of this work is in validating the proposed planning model by means of an implemented simulation.

Contributors

Ferdi, Koen, Olivier, Sarah Laktit, Sybe