Modeling Cardiovascular Flow with a Migrating Agent Systems

New dimensions and innovative methods are inaugurated for bio-medical modeling and simulation with a migrating agent system, SimA-gents. Agen-based technologies are one of the most important computing shifts in recent years. This paradigm offers flexibility and open-endedness not found in other processing paradigms. Migrating agent attributes align closely to characteristics of biological processes. The SimAgents framework was designed to accommodate flow problems. A full body, pulsatile cardiovascular model is implemented in a distributed, parallel and dynamic manner closely resembling natural domain processes. Dynamic and interactive qualities are strengths of particular interest to the medical simulation community. In SimAgents, agent function-ality enacts simulation steering such as short-term autoregulation and introduction of external interaction during runtime without halting execution. External events could originate from a user or conceptually from device readings. Concurrent flow properties are employed for bifurca-tions and merges, pressure waves and reactive mechanisms. Peripheral flows are modeled in a parallel compensatory manner, analogous to the natural system. This System lays a foundation for adaptive monitoring, interactive testing, device prototyping, integrated analysis and regressive analysis.