Abstract
This article presents a proposal for a computational model for 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 purged information on lessons learned that can serve to support decision-making or strategic analysis to establish patterns, trends, and behaviors with respect to the roadmaps of the R&D center’s strategic and operational plans.
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Suárez Barón, M.J., López, J.F., Montenegro-Marin, C.E., Gaona García, P.A. (2018). Design of a Computational Model for Organizational Learning in Research and Development Centers (R&D). In: Simari, G., Fermé, E., Gutiérrez Segura, F., Rodríguez Melquiades, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2018. IBERAMIA 2018. Lecture Notes in Computer Science(), vol 11238. Springer, Cham. https://doi.org/10.1007/978-3-030-03928-8_40
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