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Description: Neural network models are a widely used architecture for building theoretical models of neurobiological and psychological processes. While widely used in Cognitive Psychology and Neuroscience, they are rarely used in personality and social psychology. This workshop will focus on teaching you to use neural network software to build runnable, theoretical models of dynamic psychological processes, such as motivation, emotion, and decision-making over time. The class will use the emergent modeling software, which can be found at https://github.com/emer, and which is available for Mac, Windows, and Linux platforms. The software is open source and uses the Go programming language promoted by Google. By the end of the class, attendees should understand the basics of neural network models and how to create their own basic models. Attendees will also be provided with several runnable simulations of the dynamics of personality and motivation that they can then modify and tweak. Ideally, attendees should have a basic conceptual knowledge of neural networks and an idea for a theoretical model.