This document discusses why people buy things and the relationship between rarity, commodity, and price. It states that rarity and commodity are factors in why people buy products. Products that are rare tend to sell better, like new products and one-hit wonders. Everyday products that are common and known tend to sell to more people. The document also discusses how price is determined by entropy and enthalpy, with higher enthalpy and lower entropy leading to higher prices. It explores how production increases enthalpy while consumption decreases it and entropy increases through daily activities.
This document discusses why people buy things and the relationship between rarity, commodity, and price. It states that rarity and commodity are factors in why people buy products. Products that are rare tend to sell better, like new products and one-hit wonders. Everyday products that are common and known tend to sell to more people. The document also discusses how price is determined by entropy and enthalpy, with higher enthalpy and lower entropy leading to higher prices. It explores how production increases enthalpy while consumption decreases it and entropy increases through daily activities.
1) The document proposes a theory called "Orbi Theory" which suggests that dark energy is proportional to integer powers of distance. It derives this from multiplying both sides of the equation of motion by height.
2) It introduces the idea of dark energy appearing like Kepler's areal velocity, a type of directed membrane, and draws this in complex space. Optics and quantum theory are also discussed.
3) The document suggests that the trajectory of molecules is not a circle but a cloud, and orbi energy is the sum of molecular energy and self-spun energy. It supposes dark energy is generated by self-spun energy.
This document describes how botanical shapes can be generated using a data structure called "Poker". It discusses how different data structures like stacks, queues, and Poker are analogous to fluid dynamics concepts. Poker is presented as an algorithm that selects elements from an array in a way that can generate shapes seen in nature. Examples of shapes from card games like slots, casinos, bridges and concentrations are shown mapping to parts of plants. Future directions are proposed around applying these ideas to quantum fluid dynamics, other natural algorithms, and mathematically modeling plant morphology.
The document outlines the ORN architecture for a DBMS that combines neural network, relational, and object-oriented layers. It describes the ORN architecture as having a neural network layer, relational layer, and object layer. It then discusses the operators, persistence, and poker algorithm aspects of the different layers.
1. The document proposes a 3-bit automaton for artificial humane intelligence using a 5-value logic system of Yes, No, Wait, Executable, and Run.
2. It discusses using this automaton with both Neumann and non-Neumann computing systems and outlines an 8-state automaton using the 5 values and additional Begin and Finish states.
3. The automaton is proposed as a way to implement intelligence through combining the automaton with probability, where the automaton would select the option with the highest probability value to discover and predict rules and learn them, thus achieving artificial humane intelligence.
1) The document proposes a theory called "Orbi Theory" which suggests that dark energy is proportional to integer powers of distance. It derives this from multiplying both sides of the equation of motion by height.
2) It introduces the idea of dark energy appearing like Kepler's areal velocity, a type of directed membrane, and draws this in complex space. Optics and quantum theory are also discussed.
3) The document suggests that the trajectory of molecules is not a circle but a cloud, and orbi energy is the sum of molecular energy and self-spun energy. It supposes dark energy is generated by self-spun energy.
This document describes how botanical shapes can be generated using a data structure called "Poker". It discusses how different data structures like stacks, queues, and Poker are analogous to fluid dynamics concepts. Poker is presented as an algorithm that selects elements from an array in a way that can generate shapes seen in nature. Examples of shapes from card games like slots, casinos, bridges and concentrations are shown mapping to parts of plants. Future directions are proposed around applying these ideas to quantum fluid dynamics, other natural algorithms, and mathematically modeling plant morphology.
The document outlines the ORN architecture for a DBMS that combines neural network, relational, and object-oriented layers. It describes the ORN architecture as having a neural network layer, relational layer, and object layer. It then discusses the operators, persistence, and poker algorithm aspects of the different layers.
1. The document proposes a 3-bit automaton for artificial humane intelligence using a 5-value logic system of Yes, No, Wait, Executable, and Run.
2. It discusses using this automaton with both Neumann and non-Neumann computing systems and outlines an 8-state automaton using the 5 values and additional Begin and Finish states.
3. The automaton is proposed as a way to implement intelligence through combining the automaton with probability, where the automaton would select the option with the highest probability value to discover and predict rules and learn them, thus achieving artificial humane intelligence.