Foundations of Algorithmic Decision Making: The Five Regions of Decision Complexity
The second part of our series on Foundations of Algorithmic Decision Making continues with the Five Regions of Decision Complexity—a framework to help map uncertainty to the right decision-making approach. Foundations of Algorithmic Decision Making: The Five Regions of Decision Complexity We make decisions all the time, but not all decisions are alike. Consider the following situations: Reasoning: About uncertainty and objectives at a single point in time. Sequential: Making a sequence of decisions while observing outcomes as we proceed. Learning: Acting in an environment where the model is unknown and must be learned through interaction. Imperfect Information: Where the full state of the environment is not observable. Multi-Agent: Making decisions in environments shared with multiple a...