Embodied anticipation for swift re-adaptation in neurocomputational cognitive architectures for robotic agents
Year: 2009
Type: article
Abstract: The coupling between a body (in an extended sense that encompasses both neural and non-neural dynamics) and its environment is here conceived as a critical substrate for cognition.We propose and discuss the plan for a neurocomputational cognitive architecture for robotic agents, so far implemented in its minimalist form for supporting the behavior of a simple simulated agent.A non-neural internal bodily mechanism (crucially characterized by a time scale much slower than the normal sensory-motor interactions of the robot with its environment) extends the cognitive potential of a system composed of purely reactive parts with a dynamic action selection mechanism and the capacity to integrate information over time.The same non-neural mechanism is the foundation for a novel, minimalist anticipatory architecture, capable of swift re-adaptation to related yet novel tasks.
Authors: Robert Lowe, Alberto Montebelli, Tom Ziemke
Institution: University of Skövde
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W323532611