x : position

Based on the video: https://www.youtube.com/watch?v=aQYkx3XHPvU

"Seeing is believing" and "Believing is seeing". How the reduction of doubt can lead to holding on to initially helpful beliefs that later turn out to be false but are difficult to change. Or as I believe Bertrand Russell might once have put it, "The trouble with the world is that fools are so sure of themselves and the wise are so uncertain."

A model of the ladder of inference which shows how we short circuit reality based on the beliefs we develop. A picture version of the parameter version of Insight 351 for an academic audience. Here Consequences, intent and learning loops have been added

x1, x2 : position

D'après l'article Wikipedia

"Seeing is believing" and "Believing is seeing". How the reduction of doubt can lead to holding on to initially helpful beliefs that later turn out to be false but are difficult to change. Or as I believe Bertram Russell might once have put it, "The trouble with the world is that fools are so sure of themselves and the wise are so uncertain."

A model of the ladder of inference which shows how we short circuit reality based on the beliefs we develop. A picture version of the parameter version of Insight 351 for an academic audience.

"Seeing is believing" and "Believing is seeing". How the reduction of doubt can lead to holding on to initially helpful beliefs that later turn out to be false but are difficult to change. Or as I believe Bertram Russell might once have put it, "The trouble with the world is that fools are so sure of themselves and the wise are so uncertain."

A model of the ladder of inference which shows how we short circuit reality based on the beliefs we develop. A picture version of the parameter version of Insight 351 for an academic audience. Here Consequences, intent and learning loops have been added

Basic simulation model

x : position

x : position

x1, x2 : position

Method for controling flow based on the hour of a day

Attempt to set a variable for a character in a population.

Attempt to figure out how to add to an existing population.

Attempt to copy an agent from one population to another, then remove the copy original agent from the previous population. This is to be able to simulate how a population of unemployed people switch to a population of workers inside a company.

Attempt to understand how I can set variables to a certain value. And keep it there. Even if the value that caused the change, changes again.