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UID:www.tcs.tifr.res.in/event/306
DTSTAMP:20230914T125919Z
SUMMARY:The Minimal Complexity of an Adapting Agent Increases with Fitness
DESCRIPTION:Speaker: Nikhil Jayant Joshi (California Institute of Technolog
 y\nDivision of Biology/Computation and Neural Systems\n1200 East Californi
 a Boulevard\nPasadena\, California 91125\nUnited States of America)\n\nAbs
 tract: \nWhat is the relationship between the complexity and the fitness o
 f evolved organisms\, whether natural or artificial? It has been asserted\
 , primarily based on empirical evidence\, that the complexity of biologica
 l organisms increases as their fitness within a particular environment inc
 reases via evolution by natural selection.  In this work\, we derive an a
 nalytical expression for the minimal mutual information $I(\\mathbf{s}:\\m
 athbf{m})$ quantifying the organizational correlation between the sensory 
 input $\\mathbf{s}$ and the corresponding motor response $\\mathbf{m}$ req
 uired for achieving a given fitness level $F$ in a given environment . We 
 show that under certain conditions\, the minimal mutual information $I(\\m
 athbf{s}:\\mathbf{m})$ is a semi-positive definite\, monotonic non-decreas
 ing\, concave function of $F$.\n\nWe also simulated the adaptation of brai
 ns of digital organisms living in static mazes\, whose {\\it connectome} e
 volves over 10\,000s of generations from a random initial state.  We com
 puted the circuit complexity of these brains as they evolve to adapt to t
 heir environment using an entropy-based measure known as {\\it integrated
  information}. In a confirmation of our theoretical derivation\, we find t
 hat the minimal complexity of the animats' brains increases with their fit
 ness. That is\, to achieve any given level of fitness\, there exists a min
 imal amount of circuit complexity.\n
URL:https://www.tcs.tifr.res.in/web/events/306
DTSTART;TZID=Asia/Kolkata:20120913T163000
DTEND;TZID=Asia/Kolkata:20120913T173000
LOCATION:AG-80
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