Abstract:

This work is motivated by need for a model that addresses the study of Knowledge Society for Business and Management in situations where conventional analysis is insufficient in describing the intricacies of realistic social phenomena and social actors. We use Distributed Agency methodology that requires the use of all available computational techniques and interdisciplinary theories. We use Data Mining and Neuro-Fuzzy System as an approach to discover and assign rules on agents that represent real-world companies. The case study is based on several companies in the region of Baja California, México and in the policies they implement to achieve greater competitiveness based on the development of knowledge.