In this paper, we seek to review the broad landscape of research in computational emotions and cognition. We begin by classifying and organizing an enumeration of recent models and systems
and then discuss some of the landmark models from the literature, such as EMA and WASABI. We then discuss open problems with the current state of research. These issues are standardizing criteria for evaluation of models, the complexity and breadth of the domain, and the need to implement a working system which addresses integration with more of the rich history of AI research. We also provide suggestions for future research, particularly standardization to facilitate community collaboration.