Artificial Neural Emotions and Emotional Memory

Artificial feelings and emotions are beginning to play an increasingly important role as mechanisms for facilitating learning in intelligent systems. Here we present an architectural framework for artificial neural emotions through the use of an emotional memory system, based on Dr. Peter Levine's Autonomic Nervous System States. Tying the notions of Human Autonomic Nervous System States to an artificial Spatio-Temporal memory system, facilitated through the use of an Artificial Cognitive Neural Framework provides the foundation for a system of basic artificial emotions for a Genetic, Neural Processing Environment capable of emotional learning and processing. We believe this has the potential to revolutionize neural processing environments by allowing emotional memories and emotional learning to facilitate coalitions and cooperation between artificial neural intelligent software agents. We believe shared emotional states between intelligent software agents will more easily allow information sharing between agents, providing the constructs for “Cognitive Economy” in intelligent systems.