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The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition #176

Open TMats opened 6 years ago

TMats commented 6 years ago

https://www.frontiersin.org/articles/10.3389/frobt.2018.00021/full

@ARTICLE{10.3389/frobt.2018.00021,

AUTHOR={Linson, Adam and Clark, Andy and Ramamoorthy, Subramanian and Friston, Karl},   

TITLE={The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition},      

JOURNAL={Frontiers in Robotics and AI},      

VOLUME={5},      

PAGES={21},     

YEAR={2018},      

URL={https://www.frontiersin.org/article/10.3389/frobt.2018.00021},       

DOI={10.3389/frobt.2018.00021},      

ISSN={2296-9144},   

ABSTRACT={The emerging neurocomputational vision of humans as embodied, ecologically embedded, social agents – who shape and are shaped by their environment – offers a golden opportunity to revisit and revise ideas about the physical and information-theoretic underpinnings of life, mind, and consciousness itself. In particular, the active inference framework (AIF) makes it possible to bridge connections from computational neuroscience and robotics/AI to ecological psychology and phenomenology, revealing common underpinnings and overcoming key limitations. AIF opposes the mechanistic to the reductive, while staying fully grounded in a naturalistic and information theoretic foundation, using the principle of free energy minimization. The latter provides a theoretical basis for a unified treatment of particles, organisms, and interactive machines, spanning from the inorganic to organic, non-life to life, and natural to artificial agents. We provide a brief introduction to AIF, then explore its implications for evolutionary theory, ecological psychology, embodied phenomenology, and robotics/AI research. We conclude the paper by considering implications for machine consciousness.}
}
TMats commented 6 years ago