BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Intelligence\, a recipe - Prof. Matthew Turner\, Warwick
DTSTART:20181009T120000Z
DTEND:20181009T130000Z
UID:TALK109555@talks.cam.ac.uk
CONTACT:Professor Mike Cates
DESCRIPTION:We study motile agents that both sense\, and then seek future 
 control over\, their environment. They do this by a process that we call f
 uture state maximisation (FSM): they each choose a move in the present tha
 t leads to the largest variety of states that they can realise in (their m
 odel of) the future. I will first discuss how this may relate to intellige
 nt behaviour more generally. We then focus on groups of moving\, re-orient
 able agents that individually maximise the variety of a simple visual enco
 ding of the environment accessible to them within some time horizon. Colle
 ctive motion emerges that exhibits cohesion\, co-alignment and collision s
 uppression\; none of which are explicitly encoded in the model. Crudely pu
 t: maximisation of the “entropy" of *future* states naturally leads to a
  low entropy (cohesive\, co-aligned) state in the *present*\; time reversa
 l symmetry is only broken weakly\, if at all. I show how heuristics mimick
 ing FSM could operate in real time under animal cognition. These offer a p
 hilosophically attractive\, bottom-up mechanism for the emergence of swarm
 ing behaviour in animals. Perhaps\, one day\, we might also see them encod
 ed into artificial “intelligent” matter\, able to sense light\, proces
 s information and move. \n\n\n
LOCATION:MR11\, CMS
END:VEVENT
END:VCALENDAR