Emergence of Adaptive Searching Rules from the Dynamics of a Simple Nonlinear System
作者： Valentin A. Nepomnyashchikh , Konstantin A. Podgornyj
关键词: Internal noise 、 Theoretical computer science 、 Order (biology) 、 Nonlinear system 、 Food consumption 、 Computer science 、 Nonlinear oscillators 、 Simple (abstract algebra) 、 Dynamics (music) 、 Artificial intelligence 、 Virtual agent
摘要: Various organisms share certain basic rules for a searching behavior. We hypothesize that these may emerge from properties of nonlinear systems as whole, rather then being evolved scratch gradually. In order to support this hypothesis, we have developed virtual agent consists three simple oscillators. These oscillators are driven by an internal noise, which results in phase transitions their activity. External stimuli modify the activity via sensors and food consumption. The interaction among external influences give rise emergence similar those shared various organisms, thus favoring hypothesis. hypothesis can be verified further investigating types different environments.
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