Large-Scale Cognitive Modeling using Model Integrated Computing

Research in cognitive modeling is increasingly addressing large-scale models that interact with complex synthetic task environments. These efforts bring with them a number of new challenges, including the need to manage the complexity of large models, to integrate the models into complex software simulations, and to understand and debug models that are specified at high levels of abstraction. These challenges are difficult in isolation; together they constitute an enormous obstacle combining the significant challenges of large-scale software engineering with the complexity of knowledge-based systems. This workshop will describe and debate the potential of a bold new solution to these challenges based on Model Integrated Computing (MIC). MIC is a modeling and systems integration paradigm, maturing at the vanguard o