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Exploring the Periphery of Knowledge by Intrinsically Motivated Systems

机译:通过本质上动机系统探索知识的周边

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Intrinsically motivated learning is essential for the development of a wide range of competences. However, the neural substrate for the motivational signal as well as how this signal facilitates the processes of building competences are poorly understood. In this paper we exploit a biologically plausible approach, showing that an intrinsically motivated system where the motivation depends on stimulus familiarity as an inverted U-shape, exhibits well-structured exploration behaviour. Furthermore, we show that such behaviour may lead to the emergence of complex competences such as object affordances.
机译:本质上积极的学习对于开发各种竞争力至关重要。然而,用于励磁信号的神经基质以及该信号如何促进建筑能力的过程很差。在本文中,我们利用了一种生物合理的方法,表明动机熟悉作为倒U形的刺激熟悉的本质上动机的系统表现出结构良好的勘探行为。此外,我们表明这种行为可能导致诸如对象能力的复杂竞争力的出现。

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