Given the task definition and input, reply with output. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.

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.