Decentralized Computing and Modeling

Course ID
CEID_NE589
Department
Division of Applications and Foundations of Computer Science
Level
Undergraduate
Professor
TSICHLAS KOSTAS
Semester
Spring
ECTS
5

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
Skip to content