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Published in:
2017 | OriginalPaper | Chapter
Complex Dynamics of Single Agent Choice Governed by Dual-Channel Multi-Mode Reinforcement Learning
Authors : Ihor Lubashevsky, Arkady Zgonnikov, Sergey Maslov, Namik Goussein-zade
Published in: Strategic Innovative Marketing
Publisher: Springer International Publishing
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Abstract
According to the modern theory of adaption of socioeconomic systems to unknown environments only the interaction between agents can be responsible for various emergent phenomena governed by decision-making and agent learning. Previously we advocated the idea that adopting a more complex model for the agent individual behavior including rational and irrational reasons for decision-making, a more diverse spectrum of macro-level behaviors can be expected. To justify this idea we have developed a model based on the reinforcement learning paradigm extended to including an additional channel of processing information; an agent is biased by novelty seeking, the intrinsic inclination for exploration. In the present paper we demonstrate that the behavior of the single novelty-seeking agent may be extremely irregular and the concepts of chaos can be used to characterize it.