• AI planning (classical planning, Hierarchical Task Networks, adversarial planning) and situation-driven execution (behavior trees);
  • Monte Carlo Tree Search enhanced by heuristics;
  • machine learning (e.g., reinforcement learning, Bayesian networks, support vector machines, decision trees, hidden markov models, sequence mining, archetype analysis);
  • visualization systems for sequence analyses;
  • planning, execution and analysis of experiments;
  • descriptive and inferential measures and tests;
  • design and execution of surveys, interviews, usability tests.

For examples, see our Portfolio