Modern complex games and simulations pose many challenges for an intelligent agent, including partial observability, continuous time and effects, hostile opponents, and exogenous ...
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
Agent-based modeling is a powerful tool for systems modeling. Instantiating each domain entity with an agent permits us to capture many aspects of system dynamics and interactions...
Interpretation interpretation is a theory of effective abstraction and/or approximation of discrete mathematical structures as found in the semantics of programming languages, mod...
This article describes a 3D biomechanical simulation of a salamander to be used in experiments in computational neuroethology. The physically-based simulation represents the salama...