Exploring the Periphery of Knowledge by Intrinsically Motivated Systems

Autor:	Kirill Makukhin, Scott Bolland
Rok vydání:	2015
Předmět:	Cognitive science Exploit Neural substrate business.industry Intrinsic motivation Artificial intelligence business Exploration behaviour Psychology Affordance Developmental robotics
Zdroj:	Lecture Notes in Computer Science ISBN: 9783319148021 ACALCI
DOI:	10.1007/978-3-319-14803-8_4
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8c97b8fb29c6e24d940b9d0d1208c9c https://doi.org/10.1007/978-3-319-14803-8_4 Zobrazit plný text záznamu