Towards a multi-agent system for an informative healthcare mobile application

Abstract

Since Multi-Agent Systems (MAS) are composed of sets of acting autonomous and pro-active agents, they provide suitable concepts to the construction of self-organizing processes, promising robust and adaptive system behaviors being recommender agents one of the most used for its characteristic. A recommender agent in a mobile app should be aware of user interaction with the interface and make accurate recommendations of its preferences. In this paper, we propose a prototype of a multi-agent recommender system for a mobile healthcare app based in two agents the information retrieval agent, to get user interaction and the recommender agent to make recommendations with the information retrieved about healthy food diet.