title: Modelling complex biological systems using an agent-based approach.
abstract: Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.
authors: Department of Computer Science, University of Sheffield, UK.
authors: Mike
authors: M
authors: Holcombe
authors: Salem
authors: S
authors: Adra
authors: Mesude
authors: M
authors: Bicak
authors: Shawn
authors: S
authors: Chin
authors: Simon
authors: S
authors: Coakley
authors: Alison I
authors: AI
authors: Graham
authors: Jeffrey
authors: J
authors: Green
authors: Chris
authors: C
authors: Greenough
authors: Duncan
authors: D
authors: Jackson
authors: Mariam
authors: M
authors: Kiran
authors: Sheila
authors: S
authors: MacNeil
authors: Afsaneh
authors: A
authors: Maleki-Dizaji
authors: Phil
authors: P
authors: McMinn
authors: Mark
authors: M
authors: Pogson
authors: Robert
authors: R
authors: Poole
authors: Eva
authors: E
authors: Qwarnstrom
authors: Francis
authors: F
authors: Ratnieks
authors: Matthew D
authors: MD
authors: Rolfe
authors: Rod
authors: R
authors: Smallwood
authors: Tao
authors: T
authors: Sun
authors: David
authors: D
authors: Worth
mesh_terms: D000818:Animals; D008954:Models, Biological; D012984:Software; D049490:Systems Biology / Q000379:methods*