Mechanism-Based Modeling of Complex Biomedical Systems

Mechanism-based modeling of complex biomedical systems.

Mechanism-based modeling is an approach in which the physiological, pathological and pharmacological processes of relevance to a given problem are represented as directly as possible. This approach allows us (i) to test whether assumed hypotheses are consistent with observed behaviour, (ii) to examine the sensitivity of a system to parameter variation, (iii) to learn about processes not directl...

Agent-Based Modeling of Social Complex Systems

This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures ...

Agent-Based Modeling of Complex Spatial Systems

We are interested in the physics of cyberspatial objects (events, agents, processes) whose behaviors unfold in cyberspace, a manifold where geospatial, infospatial and temporal indices are required to distinguish one object from another and, for a given object, one state from another. Consequently, we propose a cyberspace-time (CST) reference framework for describing the dynamics of cyberphysic...

Modeling and Simulation of Biomedical Systems

Complex Adaptive Systems, Systems Thinking, and Agent-Based Modeling

Systems thinking and complex adaptive systems theories share a number of components, namely emergence, self-organization, and hierarchies of interacting systems. We seek to integrate these schools of thought and discuss the similarities and differences of these two models, to introduce systems dynamics and agent-based modeling as methods for modeling complex systems, and how causal-loop diagram...