State Primitive Learning to Overcome Catastrophic Forgetting in Robotics

Xiong, Fangzhou; Li, Yong; Huang, Kaizhu; Yang, Xu; Qiao, Hong

doi:10.1007/s12559-020-09784-8

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Alongside the challenge of defining curiosity and the lack of a theoretical framework to study it, several methodological posits in the field of comparative psychology have limited the empirical investigation of curiosity in animals (see Wynne, 2004;Shettleworth, 2012). Some methodological issues have been explored extensively in the philosophical literature [including Ockham's Razor (see Kelly, 2004;Shettleworth, 2010;Halina, 2015;Sober, 2015;Dacey, 2017;Andrews, 2020)], with anti-anthropocentrism and Morgan's Canon most pertinent to our review because they have commonly been used as pretences to block the ascription of 'higher' psychological predicates such as curiosity to other animals.…”

Section: How the History Of Definitions Has Impeded Studies On Non-hu...mentioning

confidence: 99%

“…Among the remaining salient challenges in the computational modelling of curiosity are: the autonomous selection of actions that will lead to learning and that are useful for solving tasks; autonomous goal selection and the related actions for achieving it; autonomous exploration of spacestates; and the exploitation and exploration dilemma (Santucci et al, 2020). Additionally, a well-known challenge related to learning multiple tasks is that of 'catastrophic forgetting', which means how new knowledge interferes with what has already been learned (Parisi et al, 2018;Xiong et al, 2021).…”

Section: (A) Definitions and Typologies In Computational Modelling Of...mentioning

confidence: 99%

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A transdisciplinary view on curiosity beyond linguistic humans: animals, infants, and artificial intelligence

Forss,

Ciria,

Clark

et al. 2024

Biological Reviews

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Curiosity is a core driver for life‐long learning, problem‐solving and decision‐making. In a broad sense, curiosity is defined as the intrinsically motivated acquisition of novel information. Despite a decades‐long history of curiosity research and the earliest human theories arising from studies of laboratory rodents, curiosity has mainly been considered in two camps: ‘linguistic human’ and ‘other’. This is despite psychology being heritable, and there are many continuities in cognitive capacities across the animal kingdom. Boundary‐pushing cross‐disciplinary debates on curiosity are lacking, and the relative exclusion of pre‐linguistic infants and non‐human animals has led to a scientific impasse which more broadly impedes the development of artificially intelligent systems modelled on curiosity in natural agents. In this review, we synthesize literature across multiple disciplines that have studied curiosity in non‐verbal systems. By highlighting how similar findings have been produced across the separate disciplines of animal behaviour, developmental psychology, neuroscience, and computational cognition, we discuss how this can be used to advance our understanding of curiosity. We propose, for the first time, how features of curiosity could be quantified and therefore studied more operationally across systems: across different species, developmental stages, and natural or artificial agents.

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