Inteligencia Artificial (Feb 2020)

Computational Model for Organizational Learning in Research And Development Centers (R&D)

  • Marco Javier Suárez-Barón,
  • José Fdo. López,
  • Carlos Enrique Montenegro Marin,
  • Paulo Alonso Gaona-García,
  • Franklin Guillermo Montenegro-Marin

DOI
https://doi.org/10.4114/intartif.vol22iss64pp143-151
Journal volume & issue
Vol. 22, no. 64

Abstract

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This work explains for a computational model design focused organizational learning in R&D centers. We explained the first stage of this architecture that enables extracting, retrieval and integrating of lessons learned in the areas of innovation and technological development that have been registered by R&D researchers and personnel in social networks corporative focused to research. In addition, this article provides details about the design and construction of organizational memory as a computational learning mechanism within an organization. The end result of the process is discusses the management of the extraction and retrieval of information as a technological knowledge management mechanism with the goal of consolidating the Organizational Memory.

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