A.R.F.M
Chu et al Theories of Complexity (2003) chooses Lake Victoria as a case study. ◦ Heterogeneous agents ◦ Non-linear interactions between agents ◦ Net-like interconnectivity between agents ◦ The ability to form novel connections in the event of an agent or node’s extinction.
The Lotka-Volterra expression of a single predator-prey dyad: dx = r x x (K x – x – α xy y) dtK x dy = r y y (K y – y – α yx x) dtK y Where r x and r y are the inherent growth rates of the respective species, K x and K y are the environmental carrying capacity for each species, and α xy represents the predation effect that species X has on species Y.
Two levels of complexity leads to systemic failure ◦ Baboons + Cheetahs alone causes species extinction (paradox of enrichment) In the wolf / sheep scenario the system is stabilized by adding grass. An example of and addition of complexity into a system actually leading to increased stabilization. For Lake Victoria, a representation of Salthe’s Basic Triadic Structure can be seen as the organisms in the lake, the lake as an ecosystem, and the external human factor.
Give each agent set specific rules. Iterating these rules offers an alternative, non- equation based model of the situation. For example: ◦ 1. Move cheetah agent randomly to an adjacent patch and decrease energy by [E1]. ◦ 2. If on the same patch as a baboon agent, then eat baboon (destroy that agent) and increase energy by [E2]. ◦ 3. If [Energy] < 0 then kill agent.
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