This week I will be researching emergence and thinking about how I can visualize my concepts for the project.
Emergence is…
- what parts of a system do together that they would not do by themselves: collective behavior.
- what a system does by virtue of its relationship to its environment that it would not do by itself: e.g. its function.
- the act or process of becoming an emergent system.
It refers to how behavior at a larger scale of the system arises from the detailed structure, behavior and relationships on a finer scale. In the extreme, it is about how macroscopic behavior arises from microscopic behavior.
The role of pattern:
When there are relationships that exist between parts of a system we talk about the existence of patterns of behavior.
The role of relationship:
When parts of a system are related to each other we talk about them as a network, when a system is related to parts of a larger system we talk about its ecosystem.
http://necsi.org/guide/concepts/emergence.html
Emergence is what happens when the whole is smarter than the sum of its parts. It’s what happens when you have a system of relatively simple-minded component parts — often there are thousands or millions of them — and they interact in relatively simple ways. And yet somehow out of all this interaction some higher level structure or intelligence appears, usually without any master planner calling the shots. These kinds of systems tend to evolve from the ground up.
Steven Johnson
http://www.oreillynet.com/pub/a/network/2002/02/22/johnson.html
OTHER TERMS useful for this project
Self Organized Criticallity (SOC)
- the border between stability and chaos.
- thresholds exist within the system
- pressure builds within the system until it exceeds threshold
System
- A group of components functioning as a whole.
- Components within a system are governed by rules which dictate how they interact with others.
Evolutionary computation
Evolutionary computation uses iterative progress, such as growth or development in a population. Such processes are often inspired by biological mechanisms of evolution such as reproduction, mutation, recombination, natural selection and survival of the fittest.
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