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模倣子 Macromemetic Monday
Memetic Essays LIST - Manga Index
Introduction
I could develop the explanation further, but at this point it's probably most helpful to take as given that memetic agents seek to maximize resonance with fellow cohort members, rather like microeconomic agents seek to maximize utility, getting the most value for money, and also minimizing downside risk.
One implication of this is that agents deploying memes try to push the memetic fabric towards configurations which will give them greater opportunities for future deployments. Likewise, reacting agents, choosing to resonate (1) with memes deployed at them, also want to optimize their own future deployment opportunities.
How a Memetic Fabric Behaves
At this point we can start to talk about memetic states. A state is a property of a memetic fabric. It describes which agents are able to deploy which memes, and which subsequent state each possible deployment leads to.
I have developed three ways for describing the transitions of a memetic fabric:
1. State transition diagrams
2. Deployment descriptors
3. Transition matrix sets (2)
I cover all of these in my modeling of the triangle baseball model. I chose baseball with only two bases because it's familiar, and with only two bases the number of states is smaller and it's easier to elaborate all three of the state descriptions styles.
Complete Matrix Set of Triangular Baseball
What do Memetic States Look Like?
Summary
A memetic fabric has a state. That state changes with each memetic deployment. Indeed, the definition of a memetic deployment is that it changes the state of the system. The contrary to this is an unsuccessful memetic deployment, i.e., where the rest of the cohort does not recognize that a memetic deployment has taking place, e.g., a garbled word or too quiet speech or an unrecognized reference or object.
Changes in memetic state change the collection memes which agents have the opportunity to deploy. Agents deploying memes try to move the system into states which will give them more deployment opportunities in the future. Agents resonating with memes deployed at them also try to steer the system in a direction which will give them better future deployment opportunities.
Coming up soon, a look at the Three Laws of Macromemetics and the principle of immunomemes and the Three Laws of Immunomemetics.
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(1) It's something of an open question as to whether memetic resonances are conscious or subconscious or unconscious. This is an area for future research. It is probably a combination and depends on the given meme in question. This also gets into the area of immunomemes.
(2) A transition matrix set is so called because it's a system made up of state matrices of agents on one axis and the available memes on the other. If an agent is able to deploy a given meme in a given state, the matrix cell contains a link to the new state. In other words, each transition matrix is a collection of other matrices, arrayed according to agents and memetic deployment opportunities. On top of that, we think about the probability of deployment. Each non-blank cell carries a probability of that deployment happening, and the sum of all of the deployment probabilities across the entire matrix is one, obviously.
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