R-CAST

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R-CAST is a multi-agent architecture developed at the Intelligent Agents Laboratory in the College of Information Sciences and Technology at Pennsylvania State University, lead by Dr. John Yen, to study high-level cognitive behaviors such as adaptive decision making and planning, and team behaviors such as collaboration and information sharing.

The R-CAST architecture is very flexible in that the architecture can be configured for a wide range of modeling purposes. R-CAST includes a set of cognition inspired components that are a knowledge base and reasoning engine, a process manager, a communication manager, an information manager, a task manager, an RPD decision model, and adapters for various domains. Figure 1 shows an R-CAST decision process model that is composed of a reasoning engine, an RPD model, a task manager, and a process interpreter. Each component has its own parameters that can be adjusted according to interpretation needs. Each component also has its own knowledge representation. To build a model, one has to (a) determine what components are involved to compose the model, (b) analyze tasks and elicit knowledge for each component, and, (c) determine how the components should be configured.