The Modifiable Multitasking Environment (ModME) offers a flexible, browser-based platform for creating multitasking experiments.
#.JSON MODELER SOFTWARE#
We demonstrate a set of software tools designed to facilitate computational cognitive modeling of multitasking performance. This paper also includes some notes on model maintenance and reporting. While there is a danger of overfitting using a GA, these fits can help provide a better understanding of the model and architecture, including how the architecture changes under moderators such stress. Doing this by hand is completely inadequate. Because of the model complexity, this is equivalent to performing a multi-variable non-linear stochastic multiple-output regression.
And (c) using machine learning techniques, particularly genetic algorithms (GAs), to fit models to data. This approach provides a more complete and theoretically appropriate way to include new aspects of behavior including stressor effects and emotions in models. Cognitive architectures can now be broader in the measurements they predict and correspond to. In our example, we provide a physiological substrate to implement behavioral moderators’ effects on cognition. (b) Providing the cognitive architecture with more representation of the body. Just one implication is that this will force models to have more knowledge about interaction, an area that has been little modeled but essential for all tasks. Improved interaction can not only support a broader range of behavior but also make the interaction more accurately model human behavior on tasks that include interaction. It is now possible for models to interact with uninstrumented interfaces both on the machine that the model is running on as well as remote machines. These areas are: (a) Interacting directly with the screen-as-world. We present three approaches as something like design patterns, so they can be applied to other architectures and tasks.
We note some future areas for work with cognitive models and agents that as Colbert (I am America (and so can you!), 2007) notes, “so can you”.
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