Increasing the Decision Making Capacities Based on an Inference-Event Algorithm for Artificial Agents
Vasile Mazilescu · RePEc: Research Papers in Economics · 2016
The aim of this paper is to present an inference-event algorithm for a Knowledge Management System based on Fuzzy Logical Events (KMSFLE), a real-time intelligent agent to meet the challenges of the dynamic environment. The main feature of our integrated shell KMSFLE is that it models and integrates the temporal relationships between the dynamic of the evolution of an external process with some fuzzy inferential methods, using a knowledge model for control, embedded within the intelligent agent operational knowledge base.