2014
DOI: 10.5539/cis.v7n4p55
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Decision-Making in Physical Intelligent Systems Regulated by Growth Rate Factors

Abstract: In the literature, self-organizing physical and chemical systems have been proposed as candidates for physical intelligent systems that may solve problems in the field of artificial intelligent in a non-algorithmic way that is not based on computation. In this theoretical study, decision-making in such physical intelligent systems is discussed in terms of non-equilibrium transitions between two self-organized states. The control parameter driving the non-equilibrium transitions is related to two growth rate fa… Show more

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“…In other words, in transitions between perceptual-cognitive-behavioral patterns we see that patterns are selected such that they come with a faster exponential growth rate. This selection principle does not only apply for the model (2) described above but also holds in general for Haken's amplitude equations of pattern formation systems [3,14,15] and other systems [25].…”
Section: Selection Principlementioning
confidence: 99%
“…In other words, in transitions between perceptual-cognitive-behavioral patterns we see that patterns are selected such that they come with a faster exponential growth rate. This selection principle does not only apply for the model (2) described above but also holds in general for Haken's amplitude equations of pattern formation systems [3,14,15] and other systems [25].…”
Section: Selection Principlementioning
confidence: 99%