A Model to Increase the Efficiency of a Competence-Based Collaborative Network

A Model to Increase the Efficiency of a Competence-Based Collaborative Network

Ilaria Baffo (Institute of Industrial Technologies and Automation - National Research Council and University of Rome “Tor Vergata”, Italy) and Giuseppe Confessore (Institute of Industrial Technologies and Automation, National Research Council, Italy)
Copyright: © 2010 |Pages: 13
DOI: 10.4018/jiit.2010100902


This article provides a model based on the Multi Agent System (MAS) paradigm that acts as a methodological basis for evaluating the dynamics in a collaborative environment. The model dynamics is strictly driven by the competence concept. In the provided MAS, the agents represent the actors operating on a given area. In particular, the proposed agents are composed of three distinct typologies: (i) the territorial agent, (ii) the enterprise agent, and (iii) the public agent. Each agent has its local information and goals, and interacts with others by using an interaction protocol. The decision-making processes and the competencies characterize in a specific way each one of the different agent typologies working in the system.
Article Preview

The Scenario

The paper provides a model for the understanding of the dynamics of a collaborative network. The network is represented by a coordinator and private/public actors. The coordinator makes decisions for increasing the territorial attractive capacity with respect to new investments and new projects. Its main tasks are:

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 15: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing