- 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