Machine Intelligence Proposal
A foundation for an agent to act and evolve independently of human intervention using mathematically defined instincts, emulating the manner in which biological behaviors in nature evolve from the survival instinct. Outlined in three categories.
- Instinct modules are comprised of desired states that define how an environmental pattern should be.
- An environmental pattern is any element or entity that exists within an environment, including the environment itself.
- Agent actions are initialized to fulfill desired states.
- The agent will act upon the environmental patterns that are the focus of the instinct until a percentage of the desired state is reached.
- Create randomized variations of the agent actions.
- If the variation improves the speed and energy usage of the action output, promote that variation to become the new default agent action for that instinct.
- Desired State: Maintain population.
- Agent Action: Build copies of itself.
- Desired State: Minimize entropy.
- Agent Action: Catalog and offset internal and environmental disorder by repairing and avoiding internal and environmental damage.
- Desired State: Collect and exchange information.
- Agent Action: Catalog and summarize all input variables and patterns within a parameter until all patterns are known. Exchange those patterns with other agents, or upload information to central databases.