Jobs & Appointments

Displaying 3 of 3 results Large-scale Multi-Agent Systems clear

Expired Last updated 3 years ago Submitted by Önder Gürcan

The objective of this thesis is to investigate the uncertain constraints of blockchain systems and to propose a deep reinforcement learning decision-making approach based on utility and rewards for both user and block creator agents.

The thesis will also contribute to develop and extend the agent-based simulation platform Multi-Agent eXperimenter (MAX) of LICIA.

  • Requirements engineering with stakeholders in Germany and South Africa
  • Software design and implementation MARS framework
  • Data integration and visualisation
  • Creating scientific publications and participating in international conferences
  • Creating MARS models (multi-agent simulation)
  • Reporting for project administrators and the BMBF
This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept