  We present the notion of explainability for decision-making processes in a
pedagogically structured autonomous environment. Multi-agent systems that are
structured pedagogically consist of pedagogical teachers and learners that
operate in environments in which both are sometimes not fully aware of all the
states in the environment and beliefs of other agents thus making it
challenging to explain their decisions and actions with one another. This work
emphasises the need for robust and iterative explanation-based communication
between the pedagogical teacher and the learner. Explaining the rationale
behind multi-agent decisions in an interactive, partially observable
environment is necessary to build trustworthy and reliable communication
between pedagogical teachers and learners. Ongoing research is primarily
focused on explanations of the agents' behaviour towards humans, and there is a
lack of research on inter-agent explainability.
