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SUMMARY:Analysis and design of bio-inspired indecision-breaking decision m
 akers - Alessio Franci\, Universidad Nacional Autónoma de México
DTSTART:20220519T130000Z
DTEND:20220519T140000Z
UID:TALK173882@talks.cam.ac.uk
CONTACT:Xiaodong Cheng
DESCRIPTION:How is indecision broken? Many biological systems\, from honey
 bees and bird flocks to bacteria\, neurons\, and humans\, face indecision 
 when choosing between options in situations in which the fitness or even t
 he survival of the system are at stake. Intelligent artificial systems fac
 e the same conundrums\, for instance\, an autonomous vehicle deciding whet
 her to avoid a suddenly appeared obstacle on the left or on the right\, or
  an autonomous robot swarm that needs to rapidly allocate itself across di
 fferent tasks in risk-critical situations\, like search and rescue. How ca
 n a system react rapidly in face of indecision\, particularly in situation
 s it had never encountered before?\n\nBiology teaches us that excitable an
 d multi-stable dynamical systems provide an analog\, flexible and\, yet\, 
 robust solution to make decisions from indecisions. The resulting mathemat
 ical models are grounded in feedback and bifurcation theories\, and\, beyo
 nd analysis\, they provide powerful tools for the design of artificial bio
 -inspired indecision-breaking decision-makers.
LOCATION:Dyson Teaching Room\, Department of Engineering / Online (Zoom Me
 eting ID: 856 2376 0684 Passcode: 986863)
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