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Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system
2012
Expert systems with applications
Up-to-date market dynamics has been forcing manufacturing systems to adapt quickly and continuously to the ever-changing environment. Self-evolution of manufacturing systems means a continuous process of adapting to the environment on the basis of autonomous goal-formation and goal-oriented dynamic organization. This paper proposes a goal-regulation mechanism that applies a reinforcement learning approach, which is a principal working mechanism for autonomous goal-formation. Individual goals
doi:10.1016/j.eswa.2012.01.207
fatcat:aghwy3ss65ezrp553dslc4f5vy