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SUMMARY:BMI SEMINAR // The Projective Consciousness Model: Integrating per
 ception\, imagination\, emotion and action in a global cybernetic framewor
 k
DTSTART:20181121T121500
DTEND:20181121T131500
DTSTAMP:20260414T234951Z
UID:578258cfcb7ef3e117f3574125607c0503c1447382bbddc5f4cbf7e9
CATEGORIES:Conferences - Seminars
DESCRIPTION:David Rudrauf\, Laboratory of Multimodal Modelling of Emotion 
 & Feeling\, Dept of Psychology\, Swiss Center for Affective Sciences\, Uni
 versity of Geneva\, Biotech Geneva\, Switzerland\nThe Projective Conscious
 ness Model (PCM) (Rudrauf et al\, 2017) is an\nattempt to unify psychology
  computationally\, with the broadest possible\nexplanatory power about a m
 ultiplicity of phenomena and behaviours\, from\nperception\, imagination\,
  appraisal\, emotion\, social cognition\,\nmotivation\, and action. The PC
 M advances previous formulations of active\ninference by featuring an expl
 icit psychological and cybernetic model of\nthe form\, structure and dynam
 ics of conscious experience\, formulated as\na formal Field of Consciousne
 ss\, integrating 3D projective geometry and\nthe Free Energy principle (Fr
 iston\, 2010). The model  integrates\ncounterfactual or multi-perspectiva
 l first-person perspectives with\naffective dynamics\, for the global opti
 misation of action outcomes. The\nPCM offers an explicit\, formal\, comput
 able and integrative basis for\ntesting hypotheses about normal and pathol
 ogical psychological\nmechanisms quantitatively. The principles of the mod
 el will be\nexplained\, and will be illustrated with applications to: perc
 eption\,\nfocusing on visual illusions\; artificial agent simulations of r
 esilient\nnavigation in the context of affective stressors based on imagin
 ary\nprojections in the future\; social perspective taking in the context 
 of\nmodeling joint attention and Autism Spectrum Disorders\, using both\na
 rtificial agent simulations and initial implementations in collective\nrob
 ots\; the modeling of emotion dynamics and the generation of complex\nfaci
 al expressions as a function of affective states\; and theory-laden\nneuro
 -computational predictions for parametric neuroimaging experiments.\nWe wi
 ll discuss perspectives around the model for strong AI and\nautonomous rob
 otics\,  as a basis for designing interpretable social\nartificial agents
  and more generally as a method for psychological science.\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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