Decentralized Computing and Modeling

Course Code: 
Spring Semester
Credit Points: 

Course outline

Models: Distributed and Decentralize: LOCAL-CONGEST, Population Protocols, Population Dynamics, Opinion Dynamics, Cellular Automata, Network Dynamics, Agent-based Modeling.

Distributed Algorithms:

  • Maximal Independent Set
  • Coloring (deterministic and randomized)
  • Approximation Algorithm for Dominating Sets
  • Self-Stabilization Algorithms

Computation based on Physarum Polycephalum Decentralized Algorithms/Systems:

  • Boolean Networks, Hopfield Networks
  • Cellular Automata • Network Systems
  • Opinion Dynamics (De Groot Model)

Population Dynamics (Disease Models, Predator-Prey Models) Agent-based Modeling – Lab:

  • Simple Agent-based Models
  • Agent Properties and Actions
  • Environment of Agents
  • Agent Interactions
  • Model implementation in NETLOGO

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