Nima Motamed
Scholar

Nima Motamed

Google Scholar ID: OO0gYxQAAAAJ
PhD Candidate at Utrecht University
artificial intelligencecategory theoryknowledge representationmodal logicmultiagent systems
Citations & Impact
All-time
Citations
9
 
H-index
2
 
i10-index
0
 
Publications
12
 
Co-authors
14
list available
Resume (English only)
Research Experience
  • In doctoral research, focuses on developing logics for multiagent systems.
Education
  • PhD candidate under the supervision of Natasha Alechina, Mehdi Dastani, and Dragan Doder at the Department of Information and Computing Sciences, Intelligent Systems, Utrecht University.
Background
  • Research interests include developing logics for multiagent systems, particularly focusing on how agents revise their beliefs and intentions in complex settings with uncertainty and interaction. Additionally, works extensively on developing various modal/temporal logics (along with related algorithms) and category-theoretic methods useful for the study of multiagent systems, with applications to reinforcement learning, neurosymbolic AI, and social network analysis.
Miscellany
  • Rarely opens social media, so please direct all inquiries to email.