Nearly 35 years ago, S. L. Thaler discovered that once an artificial neural network (ANN) had learned all it could about a conceptual space of any kind, that by ‘tickling’ its synapses at just the right level the ANN began to ideate whole new concepts generalized from its rote memories. That observation in itself was an amazing scientific discovery, but in an effort to produce a supremely useful invention, Thaler added another network traditionally known as a “perceptron” to watch this parade of potential ideas and to extract those pattern-based notions offering utility or value while administering synaptic tickling in proportion to its frustration level. Such systems of noise-driven ANNs, called “imagitrons,” and more quiescent perceptrons, embroiled in a brainstorming session with one another became known as “Creativity Machines” (CM). From the outset they invented new products and services for government, industry, and private individuals. After that, these same neural assemblies formed the core of extremely clever and improvisational control systems for robots, if need be expanding themselves to deal with increased demands.

This blog is meant to be the nexus for all those interested in the Creativity Machine paradigm, whether guided by curiosity or seeking a business relationship with the company that has discovered the ultimate problem solving system.

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