BEGIN:VCALENDAR VERSION:2.0 PRODID:Data::ICal 0.22 BEGIN:VEVENT DESCRIPTION:Brian Skinner\, Argonne National Laboratory\n\n
\n Moving thr ough a densely-populated environment can be surprisingly hard\, owing to t he problem of congestion. Learning to deal with congestion \;in \; crowds and \;in \;networks is a long-standing and urgently-studied problem\, one that can be equally well described at the level of dense\, correlated matter or at the level of game-theoretical decision making.&nbs p\;In \;this talk I describe two related \;problems \;associat ed with \;motion \;planning \;in \;congested environments.  \;In \;the first part I consider a description of pedestrian crow ds as densely-packed repulsive particles\, and I address the question: wha t is the form of the pedestrian-pedestrian interaction law? \; \;I n \;the second part of the talk I examine a simple model of a traffic network and study how inefficiency \;in \;the traffic flow arises from "\;selfish"\; decision-making. Analysis of the model reveals a surprising connection between Nash equilibria from game theory and perco lative phase transitions from statistical physics.
\n DTSTART:20150226T203000Z LOCATION:Physics Building\, Room 204 SUMMARY:Problems in Human Motion Planning END:VEVENT END:VCALENDAR