Multiagent Systems Lab

News

  • September 19, 2019: The page is online.

General Info

Teacher:

ESSE3 Link

  • TBD

Lessons schedule:

  • TBD

Students Office hours:

  • TBD

Course Objectives

  1. Be able to characterize the modelling of complex systems.
  2. Be able to apply methods, languages and techniques of the distributed calculus and coordination in modelling complex systems.
  3. Be able to design a multiagent system using prototyping environment.
  4. Be able to characterize the evolution of a model with the analysis of real phenomenological data.

Course Contents

  1. Models and languages for distributed Calculus: process algebraic calculi, rule-based (CHAM), membrane-based (P-Systems).
  2. Coordination models and languages: Linda, K