The problem of serial order: a neural network model of sequence learning and recall
Current research in natural language generation
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Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The computational brain
Information Dynamics: Foundations and Applications
Information Dynamics: Foundations and Applications
Embodied cognition: a field guide
Artificial Intelligence
Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism
Journal of Cognitive Neuroscience
Behaviorally flexible spatial communication: robotic demonstrations of a neurodynamic framework
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
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Dynamical Field Theory is a neurally based approach to embodied and situated cognition, in which information is represented in continuous activation fields defined over metric spaces. The temporal evolution of activation patterns under the influence of inputs and neuronal interaction is described by a dynamical system, whose stable states, localized peaks of activation, are the units of representation. This approach has been successfully used to capture many elementary forms of cognition. Communication poses the new challenge of understanding how different modalities can be integrated in a continuously unfolding communicative process. In this chapter we give a brief introduction to Dynamical Field Theory in embodied cognition, and discuss extensions of its ideas to embodied communication. We sketch a highly simplified example of how sequence generation may occur in dynamical fields. We apply these concepts to a specific exemplary problem in embodied communication, turn taking, the temporal structure of which we capture in a simple model.