Wednesday 7 November 2012

Meltz paper at Stllar



Meltzoff, A.N., Kuhl, P.K., Movellan, J., and Sejnowski., T.J. (2009)
Foundations for a new science of learning
Science, 325, 284-288

p284 'Human learning and cultural evolution are supported by a paradoxical adaptation. We are born immature. During the first year if life , the brain of an infant is teeming with structural activity' with sensory processes developing before higher activity'

'Three principles are emerging from cross-disciplinary work in psychology, neuroscience, machine learning, and education, contributing to a new science of learning'  and, in particular, are useful for explaining,, language and social understanding.
1.    Learning is computational, implicit
2.    Learning is social, implicit
3.    Learning  is supported by brain circuits linking perception and action
1. Learning is computational
' infants and young children possess powerful computational skills that allow them to automatically infer structural models of their environment from the statistical patterns they experience' eg 'before they are three, children use frequency distributions to learn which phonetic units distinguish words in their native language' p 285 ' Statistical regularities and co variations in the world thus provide a richer source of information than previously thought' and the learning    running around these regularities is implicit. ' Learning from probabilistic input provides an alternative to Skinnerian reinforcement learning and Chomskian nativist accounts' of learning
2. Learning is social
p285 'Children do not compute statistics indiscriminately. Social cues highlight what and when to learn'  young infants 'more readily learn and enact an event when it is produced by a person than be an inanimate device. Machine learning studies show that systematically increasing a robot's social-like behaviours and contingent responsivity elevates young children's willingness to connect with it and learn from it'
3. Learning is supported by brain circuits linking perception and action
' Human social and language learning are supported by neural-cognitive systems that link the actions of self and other.'  The brain areas responsible for initiation of movement and its action overlap. ' Social learning, imitation, and sensorimotor experience may initially generate, as well as modify and refine, shared neural circuitry for perception and action'.  KRO to what extent and what is the nature of 'the close coupling and attunement between self and other, which is the hallmark of seamless social communication and interaction'

Social learning and understanding
Three social skills are foundational
1.    Imitation
2.    Shared attention
3.    Empathy and social emotions
 Imitation
'Learning by observing and imitating experts in the culture is a powerful social learning mechanism' ' Imitation if faster than individual discovery and safer than trial and error learning' ' Children can use third person information ( observation of others) to create first person knowledge. This is an accelerator for learning: Instead of having to work out causal relationships themselves children can learn from watching experts' ' Imitative learning is valuable because the behavioural actions of others "like me" serve as a proxy for one's own' ' Children do not slavishly duplicate what they see but reenact a person's goals and intentions' ie ' they produce the goal that the adult was striving to achieve, not the unsuccessful attempts. Children choose whom, when, and what to imitate and seamlessly mix imitation and self discovery to solve novel problems'  attempts in robotics to emulate infant imitation include direct (input-action) and more recently goal based approaches .
 Shared attention
'Social learning is facilitated when people share attention. Shared attention to the same object or event provides a common ground for communication and teaching. An early component of shared attention is gaze following' experimental evidence to show that ' we project our own experience onto others'. P286  ' The ability to interpret the behaviour the behaviour and experience of others by using oneself as a model is a highly effective learning strategy that may be unique to human........It would be useful if this could be exploited in machine  learning'
Empathy and social emotions
' The capacity to feel and regulate emotions is critical '  ' In humans, many affective       processes are uniquely social'. Children will even help and comfort a social robot that was crying Tanaka,Cicourel,Movellan, 2007) 'Brain imaging studies in adults show an overlap in the neural systems activated when people  receive a painful stimulus themselves or perceive that another person is in pain  Hein & Singer (2008) These neural reactions are modulated by cultural experience, training, and perceived similarity between self and other Hein & Singer (2008)

Language Learning  - as shedding light on the interaction between computational learning, social facilitation of learning, and shared neural circuitry for perception and production.
Evidence to show that developing infants pick up the statistical regularities of a language leading to neural commitment. ' However, experiments also show that the computations involved in language learning are "gated" by social processes (Kuhl, 2007). In foreign language learning experiments, social interaction strongly influenced infants' statistical learning. Infants exposed to a foreign language at 9 months learn rapidly, but only when experiencing the new language during social interchanges with other humans. 'Temporal contingencies may be critical'.
Idea of neural commitment

A similar pattern , ' passerine  birds learn conspecific song by listening to and imitating adult birds' ' In birds, as in humans, a social context enhances vocal learning'.