EventsDIGITALISATION FOR A SUSTAINABLE SOCIETY
Published
This submission belongs to the session Symposium 2. Morphological Computing and Cognitive Agency of the event DIGITALISATION FOR A SUSTAINABLE SOCIETY
Published date
09 Jun, 2017
Citation
John Spencer, Models at play: Using dynamic field theory to understand looking and learning in dyadic interactions, in Proceedings of DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, 12 June–16 June 2017, MDPI: Basel, Switzerland, doi: 10.3390/IS4SI-2017-04100
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Models at play: Using dynamic field theory to understand looking and learning in dyadic interactions

1. University of East Anglia
Abstract

Although cognitive and social development are often studied in isolation, many researchers have demonstrated convincingly that cognition and the social environment are inseparable components of development. For instance, the social context plays a crucial role in many facets of cognitive development. Critically, the mechanisms by which social interactions impact cognitive development remain poorly understood. Here, we present a dynamic field model that elucidates the neural and behavioral mechanisms by which social interactions contribute to developmental changes in cognition and how these influences are reciprocal in nature.

The goal of our work is to understand the mechanisms by which parental responsiveness impacts the social and cognitive development of term and preterm infants. We present an autonomous dynamic field model that looks about its environment containing multiple virtual objects. This neural system encodes and forms memories for the objects being looked at and captures the looking and memory formation abilities of typically developing and preterm infants and adults. We present several simulation experiments in which a parent model and preterm infant model share the same virtual world. We illustrate that a simple Hebbian learning process within the neural and behavioral systems of the parent and infant models is responsible for changes in how the infant model performs in a memory task and how the models learn to interact with each other.

Keywords
The Role of Morphology in Intentional Agency and Social Interaction
Addressing the role of Information in Synthetic Biology