Decision Processes in Smart Learning Environments

Smart learning environments can be naturally considered to be a new challenging step of computer enhanced learning evolution, offering many new interesting facilities. Smart environments in general as well as their special case smart learning environments can be studied as being based on a sophisticated multi-agent based architecture, which is behind all the decision processes that appear in the environment and enable the environment's functionality. The aim of this paper is to summarize recent state of the art in the area, with strong focus on decision processes in smart learning environments. We are not presenting any new algorithms for these processes, but we discuss several various possibilities and approaches instead. The paper intends to be a starting point in looking for new ways or approaches for creating decision processes by which smart learning environments cope with the problem of multiple residents in a smart (learning) environment.