Strategy recommender agents (ALEX) - the methodology

  • Authors:
  • Ronald Uriel Ruiz Ordóñez;Josep Lluis de la Rosa i Esteva;Javier Guzmán-Obando

  • Affiliations:
  • Universitat de Girona, Girona - Spain;Universitat de Girona, Girona - Spain;Universitat de Girona, Girona - Spain

  • Venue:
  • Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2007

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Abstract

Agents for Alignment into strategy Experience (ALEX agents), a type of recommender agent (RA), are proposed here as a means of helping employees to perform tasks in line with the strategy adopted by their particular organization. Such an organization is represented in this approach by Fuzzified Strategic Maps (FSMs). Collaborative filtering (CF), opinion based filtering (OBF) and a Human Values Scale (HVS) are used in the ALEX-based approach to interpret the organization's strategy and actions aligned with it. ALEX agents can send messages to their users (the employees) to guide them towards meeting organizational aims aligned with that strategy and with the behavior of the organization's other employees or recommender agents. A real-life example using members of a research group in a European university is presented.