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UID:/NewsandEvents/Archives/2017/newsitem/8755/21-
 March-2017-Busting-Out-Two-Takes-on-the-Predictive
 -Brain-Andy-Clark
DTSTAMP:20170313T013413
SUMMARY:Busting Out: Two Takes on the Predictive B
 rain, Andy Clark
ATTENDEE;ROLE=Speaker:Andy Clark
DTSTART;TZID=Europe/Amsterdam:20170321T160000
DTEND;TZID=Europe/Amsterdam:20170321T170000
LOCATION:Room M1.01, Roeterseilandcampus gebouw M,
  Plantage Muidergracht 12, Amsterdam
DESCRIPTION:Recent work in computational and cogni
 tive neuroscience depicts the brain as an ever-act
 ive prediction machine. In this talk, I contrast t
 wo ways of understanding the implied vision of min
 d. One way (Conservative Predictive Processing) de
 picts the predictive brain as an insulated inner a
 rena populated by representations so rich and reco
 nstructive as to enable the organism to ‘throw awa
 y the world’. The other (Radical Predictive Proces
 sing) stresses processes of circular causal influe
 nce linking brain, body, and world. Such processes
  can deliver fast and frugal, action-involving sol
 utions of the kind often highlighted by work in ro
 botics and embodied cognition, nesting them within
  a structured, uncertainty-modulated, knowledge-ba
 se that remains firmly rooted in sensory experienc
 e. This delivers a broader, profoundly embodied, a
 nd more ‘cybernetic’ vision of predictive processi
 ng. But it raises deep and important questions con
 cerning how best to understand the core notions of
  prediction and prediction error minimization them
 selves.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>Recent work in
  computational and cognitive neuroscience depicts 
 the brain as an ever-active prediction machine. In
  this talk, I contrast two ways of understanding t
 he implied vision of mind. One way (Conservative P
 redictive Processing) depicts the predictive brain
  as an insulated inner arena populated by represen
 tations so rich and reconstructive as to enable th
 e organism to ‘throw away the world’. The other (R
 adical Predictive Processing) stresses processes o
 f circular causal influence linking brain, body, a
 nd world. Such processes can deliver fast and frug
 al, action-involving solutions of the kind often h
 ighlighted by work in robotics and embodied cognit
 ion, nesting them within a structured, uncertainty
 -modulated, knowledge-base that remains firmly roo
 ted in sensory experience. This delivers a broader
 , profoundly embodied, and more ‘cybernetic’ visio
 n of predictive processing. But it raises deep and
  important questions concerning how best to unders
 tand the core notions of prediction and prediction
  error minimization themselves.</p>\n
URL:http://abc.uva.nl/events/item/abc-lecture---an
 dy-clark.html
CONTACT:Bastiaan van der Weij at b.j.vanderweij at
  uva.nl
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