With LTBcoin distributed weekly.
[Edit see draft proposal below, initial idea was simplified]
The LTB Network Forum
What are/should be the core areas that cover all of LTB's coin distribution?
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Last Edited: March 18, 2014 at 6:19 AM
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Posted on March 15, 2014 at 5:18 PM
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Posted on March 16, 2014 at 8:10 AM
Last Edited: March 18, 2014 at 6:40 AM0 likes -
Posted on March 16, 2014 at 8:26 AM
Glider Distribution Pattern:John Conway's game of life operates on 4 laws which yields 2d method of social collaboration if a 5 node system (glider) is tuned properly. We should develop a basic distribution pattern that is cyclical and strategic for continuous growth.
John Conways Game of Life - Automaton Operational Laws:Any live cell with fewer than two live neighbours dies, as if caused by under-population.Any live cell with two or three live neighbours lives on to the next generation.Any live cell with more than three live neighbours dies, as if by overcrowding.Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.
The pattern could be used as follows:
Distribution of assets to 4 parties cyclical with one distribution node continuously supplying to supporting nodes. Distribution node is autonomous, never paid and serves as the gateway for LTBcoins entering the market. It allows people to "mine" LTBcoin by reducing coinwaste in the industry and 'monetizing wasted' assets. The community decides which assets should be burned through the Gw node.
Gw node is never paid and funds are distributed to each node at 25% during the charging cycle.
Central command node is always stays in the trailing position in the pattern and receives the least resources but is the smallest. Other nodes rotate in positions based on the pattern of the glider. Rotations consist of change in funding/resources allocated to each node. Resources consist of disbursement to users, proof of work models, anything a node needs to gain LTBcoin. Once the pattern has been fulfilled the node changes position.
The pattern has a 4 cycle period oscillation and repeats on the 5th cycle.
2d - visual and mathematical connections of nodes to one another.
3d - Visualization of Glider
The network operates on time. Time can be sped up or slowed down with the machine. Which in our case is not possible. However, this provides a good strategy for goals and shifting resources in order to manage success of the entire network. These laws are mathematically distributed by the pattern shown above.
Last Edited: March 18, 2014 at 7:47 AM0 likes -
Posted on March 16, 2014 at 9:30 AM
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Posted on March 21, 2014 at 10:55 PM
Based on my discussion with Matt this week, let's try and flatten out the resource-distribution idea and first think of how a manual system would work, before trying to automate it as much as possible.
The sketch below shows the resources (credits can be LTBcoin or Proof Tokens), goals and ultimately the agents (collaborators, listeners, and so on) who will be rewarded for achieving those goals. The black arrows are 'pipes' that channel the resources and that are made to swell or shrink by the feedback, to allocate more or less credits to different goals as needed.
Resources represents the resource allocation for a specific time interval (week, day, hour) after which the feedback is used to (manually or automatically) adjust both the resource allocation for each goal (thick black arrows) for the next time period. The reward for each instance of a completed goal (thin black arrows) can be adjusted in a similar fashion and/or on the fly.
The sketch shows some lower-level goals aimed at listeners and readers. The same idea can be applied to collaborators.
The entire LTB resource pool for a time period is first allocated to top level goals (such as Podcast Shows, Blogs, Marketing, and so on) to form smaller resource pools for the lower levels, which then feed the actual goals.
Resources are allocated to achieve an optimal proportion of goals at each level, with time periods for feedback tending to be larger for higher levels.
The Feedback Challenge
Coming up with higher and lower level goals and an initial resource distribution is probably the easy part, compared to using the right feedback appropriately to optimize the use of available resources.
Initially, feedback and resource optimization could be manual or semi-automatic and based on intuition, and on maintaining a desired equilibrium of goals at each level. For example total resource allocations for each goal could be manual, but if a goal is not being achieved often enough, the individual payout can be automatically increased based on some metric, such as time since the goal was last achieved or a moving average of time intervals.
Eventually, as the LTB Network shifts to a Proof of Value reward system, the use of resources could be optimized and automated further to take into account the actual value each goal brings to the Network, insofar as we can determine that.
Thoughts?
Last Edited: March 21, 2014 at 10:56 PM0 likes
