Productizing NSP #195
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Ego of Approximating capa is startup which has is further defined by its own action, state, reward, objective below |
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chat with Josh Gwyther (leader of google cloud and current genAI): mapping need and solution. Tying back to my question, imagine the following. Your identified need ("wow-ness") upon engaging with Darth Vader is captured, translated to "willingness to pay for the solution'', and notified to pool of technology that has potential to implement the solution. This is how need and solution are paired and fleshed and recorded in the database as juxtaposition of customer (your wow feeling) and technology (unity). Logging these instances of need and solution pair that have been discovered by or purposefully created by humans and found to be valuable by their creators and perhaps to others as well, can facilitate the productization of needs. Soon you'd get a mail asking for feedback on Darth Vader product MVP, based on your expressed wow! |
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1. ENV-model
![detailed_ver](https://github.com/Data4DM/BayesSD/assets/30194633/8277b118-8eba-4b39-9e9e-95da5963254b)hier2_stock_nsp.mdl.zip
based on ## 1. ENV-model,
Need Pool
Solution Pool
Method Pool
Transp Pool
need adj frac1
need adj frac2
sol adj frac1
sol adj frac2
sol adj frac3
desired fleshing rate
desired fleshing rate = adjusting product + Expected Need Demand Rate
desired product
desired product = Expected Need Demand Rate * (1/Prod2Use frac6 + 1/Safety stock coverage frac7)
desired use
desired use = NonUsed NSP * need adj frac2
desired pool
desired pool = desired fleshing rate / Concept2Prod frac4
2. AGENT-model
AGENT_capa_sat.mdl.zip
NSP model
NSP.mdl.zip
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