This course discusses Artificial Intelligence approaches to issues and opportunities implied by the study of complex systems (by means of direct analysis of the related dynamics, as well as by means of modeling and simulation) considering specifically crowding phenomena as a specific example, on which both activities of analysis and synthesis (modeling and simulation) will be discussed.

Particular attention will be paid to phenomena associated to the actual movement of pedestrians and crowds in the built environment, studied with the final goal of supporting designers, planners and managers of events characterized by significant crowding conditions.

The state of the art on modeling approaches will be presented, and also relevant exploitable tools for the simulation of crowds of pedestrians will be introduced.

The course will finally discuss “virtual” forms of crowds, in particular, considering studies on the collective behaviour of (i) social network users and (ii) other kinds of socio-economic systems.

Enrolment methods

  • Manual enrolments
  • Self enrolment (Student)

Staff

    Teacher

  • Giuseppe Vizzari