Abstract
By allowing one artificial neural network to govern the synaptic noise injected into another based upon its appraisal of patterns nucleating from such disturbances, a contemplative form of artificial intelligence is formed whose creativity and pattern delivery closely parallels that of human cognition. Drawing upon the theory of fractional Brownian motion, we may derive an equation, verifiable through statistical mechanics, which governs both the novelty and rhythm of pattern turnover within such neural systems. Through this equation, we gain valuable insight into the process of idea formation within the brain, whether that organ is making sense of its environment or itself. In doing so, a relationship between creativity and consciousness is revealed, along with a potential path toward building conscious machine intelligence.
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