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International Studies in Phenomenology and Philosophy

Book | Chapter

184233

Exploring the periphery of knowledge by intrinsically motivated systems

Kirill Makukhin Scott Bolland

pp. 49-61

Abstract

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.

Publication details

Published in:

Randall Marcus (2015) Artificial life and computational intelligence: first Australasian conference, acalci 2015, Newcastle, nsw, India, february 5-7, 2015. proceedings. Dordrecht, Springer.

Pages: 49-61

DOI: 10.1007/978-3-319-14803-8_4

Full citation:

Makukhin Kirill, Bolland Scott (2015) „Exploring the periphery of knowledge by intrinsically motivated systems“, In: M. Randall (ed.), Artificial life and computational intelligence, Dordrecht, Springer, 49–61.