Entity |
An independent element of the model, such as a cell or protein. |
Finite state machine |
A finite state machine consists of a set of states, which may include substates, some of which are orthogonal (simultaneous states). A finite state machine may exist in only one state for each orthogonal group at a time. |
Agent |
An autonomous, self‐directed representation of an entity, operating as a finite‐state machine. |
Space |
Computational representation of the physical spatial compartments within which agents are contained. |
Environment |
Features in space, which provide a context for agent interactions and behaviors, may contain distributions of molecular concentrations that both influence and can be influenced by agent behavior. |
Neighborhood |
The local environment in which an agent exists, often described as the agents adjacent to, or in contact with a specific agent. |
Neighbor |
An agent that exists within the neighborhood of another agent. |
Model |
A nonexecutable description of a system, which may be described in an abstract manner, or for a platform‐specific implementation as a simulation. |
Simulation |
An executable implementation of a model specification. |
Step |
An iteration in time of a discrete‐event simulation. |
Hybridization |
Using a combination of modeling techniques to capture aspects of the system at different scales in a tractable manner, to overcome the limitations associated with using each technique in isolation. |
Multiscale |
A model combining processes occurring at different orders of magnitude of time and length. |
Richness |
The detail contained within an agent, environment or model; comprising internal representations of properties such as cell‐surface protein levels, gene expression, etc. |