In this paper, I discuss some varieties of explanation that can arise
 in intelligent agents. I distinguish between process accounts, which
 address the detailed decisions made during heuristic search, and
 preference accounts, which clarify the ordering of alternatives
 independent of how they were generated. I also hypothesize 
 which types of users will appreciate which types of explanation.
 In addition, I discuss three facets of multi-step decision making
 -- conceptual inference, plan generation, and plan execution --
 in which explanations can arise. I also consider alternative ways
 to present questions to agents and for them provide their answers.

This position paper analyzes different types of self explanation that can arise in planning and related systems.  Discusses different aspects of explanations, particularly in the context of sequential decision making. 