Neural Networks
Confabulation is central to a theory of cognition and consciousness by S. L. Thaler in which thoughts and ideas originate in both biological and synthetic neural networks as false or degraded memories nucleate upon various forms of neuronal and synaptic fluctuations and damage. Such novel patterns of neural activation are promoted to ideas as other neural nets perceive utility or value to them (i.e., the thalamo-cortical loop). The exploitation of these false memories by other artificial neural networks forms the basis of inventive artificial intelligence systems currently utilized in product design, materials discovery and improvisational military robots. Compound, confabulatory systems of this kind have been used as sensemaking systems for military intelligence and planning, self-organizing control systems space vehicles, and entertainment. The concept of such opportunistic confabulation grew out of experiments with artificial neural networks that simulated brain cell apoptosis. It was discovered that novel perception and motor planning could arise from either reversible or irreversible neurobiological damage.
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