Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development

cogs12390-fig-0004Former PAICS researcher Tony Morse has just published, with Angelo Cangelosi, the lead article in the upcoming issue of Cognitive Science.

Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development

Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage-wise development of cognitive abilities. We summarize work relevant to this hypothesis and suggest two simple mechanisms that account for some developmental transitions: neural readiness focuses on changes in the neural substrate resulting from ongoing learning, and perceptual readiness focuses on the perceptual requirements for learning new tasks. Previous work has demonstrated these mechanisms in replications of a wide variety of infant language experiments, spanning multiple developmental stages. Here we piece this work together as a single model of ongoing learning with no parameter changes at all. The model, an instance of the Epigenetic Robotics Architecture (Morse et al 2010) embodied on the iCub humanoid robot, exhibits ongoing multi-stage development while learning pre-linguistic and then basic language skills.

You can find the article available for early view here:  http://onlinelibrary.wiley.com/doi/10.1111/cogs.12390/abstract?campaign=wolearlyview

Present or former PAICS members who would like to feature their recent research on this site should email me with the details.

Robot crime?

1041809723Yesterday I was interviewed by Radio Sputnik to comment on some recent claims about robot/AI crime.  They have made a transcription and recording of the interview available here.

Some highlights:

“We need to be worried about criminals using AI in three different ways. One is to evade detection: if one has some artificial intelligence technology, one might be able, for instance, to engage in certain kinds of financial crimes in a way that can be randomized in a particular way that avoids standard methods of crime detection. Or criminals could use computer programs to notice patterns in security systems that a human couldn’t notice, and find weaknesses that a human would find very hard to identify… And then finally a more common use might be of AI to just crack passwords and codes, and access accounts and data that people previously could leave secure. So these are just three examples of how AI would be a serious threat to security of people in general if it were in the hands of the wrong people.”

“I think it would be a tragedy if we let fear of remote possibilities of AI systems committing crimes, if that fear stopped us from investigating artificial intelligence as a positive technology that might help us solve some of the problems our world is facing now. I’m an optimist in that I think that AI as a technology can very well be used for good, and if we’re careful, can be of much more benefit than disadvantage.”

“I think that as long as legislators and law enforcement agencies understand what the possibilities are, and understand that the threat is humans committing crimes with AI rather than robots committing crimes, then I think we can head off any potential worries with the appropriate kinds of regulations and updating of our laws.”