Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the mismatch between their expectations and reality. This principle could unify cognitive science with the broader natural sciences, but leave key elements of cognition and behaviour unexplained
The psychological mechanism of decision-making has traditionally been modeled with the help of belie...
AbstractThe articles in this special issue provide a rich and thoughtful perspective on the brain as...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
‘Predictive Processing’ (PP) is an emerging paradigm in cognitive neuroscience that depicts the huma...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Finding out why we have beliefs and desires is important for a thorough understanding of the nature ...
We present a computational framework for understanding The-ory of Mind (ToM): the human capacity for...
In standard decision theory, rational agents are objective, keeping their beliefs independent from t...
© 2017 Dr. Daniel BennettAdaptive goal-directed behaviour depends on a well-calibrated internal mode...
A key component of much current research in behavioral ecology, cognitive science, and economics is ...
A commentary on "Whatever next? Predictive brains, situated agents, and the future of cognitive scie...
For making decisions in everyday life we often have first to infer the set of environmental features...
The psychological mechanism of decision-making has traditionally been modeled with the help of belie...
AbstractThe articles in this special issue provide a rich and thoughtful perspective on the brain as...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
Bayesian brain theories suggest that perception, action and cognition arise as animals minimise the ...
‘Predictive Processing’ (PP) is an emerging paradigm in cognitive neuroscience that depicts the huma...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Bayesian theories of perception have traditionally cast the brain as an idealised scientist, refinin...
Finding out why we have beliefs and desires is important for a thorough understanding of the nature ...
We present a computational framework for understanding The-ory of Mind (ToM): the human capacity for...
In standard decision theory, rational agents are objective, keeping their beliefs independent from t...
© 2017 Dr. Daniel BennettAdaptive goal-directed behaviour depends on a well-calibrated internal mode...
A key component of much current research in behavioral ecology, cognitive science, and economics is ...
A commentary on "Whatever next? Predictive brains, situated agents, and the future of cognitive scie...
For making decisions in everyday life we often have first to infer the set of environmental features...
The psychological mechanism of decision-making has traditionally been modeled with the help of belie...
AbstractThe articles in this special issue provide a rich and thoughtful perspective on the brain as...
We build models of the world around us to guide perception and learning in the face of uncertainty. ...
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