Main Research Interests
Lukas Zilka’s interests lie in artificial intelligence, particularly automatic spoken conversation systems, and lately neuroscience.
His goal is to build an automatic conversational system that truly learns, and these are the question he is trying to answer: How to teach computers to understand our language? What is the minimal learning algorithm that an agent needs to operate in an environment? Can the answer be inspired by how humans learn?
His previous research concerned with Explicit Semantic Analysis for Automatic Document Discovery. Publicly available library which allows anyone get started with Explicit Sematnic Analysis in 2 minutes is at https://github.com/ticcky/esalib.