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Online Learning In A Chemical Perceptron, Peter Banda, Christof Teuscher, Matthew R. Lakin
Online Learning In A Chemical Perceptron, Peter Banda, Christof Teuscher, Matthew R. Lakin
Computer Science Faculty Publications and Presentations
Autonomous learning implemented purely by means of a synthetic chemical system has not been previously realized. Learning promotes reusability and minimizes the system design to simple input-output specification. In this article we introduce a chemical perceptron, the first full-featured implementation of a perceptron in an artificial (simulated) chemistry. A perceptron is the simplest system capable of learning, inspired by the functioning of a biological neuron. Our artificial chemistry is deterministic and discrete-time, and follows Michaelis-Menten kinetics. We present two models, the weight-loop perceptron and the weight-race perceptron, which represent two possible strategies for a chemical implementation of linear integration and …