Logic Models

These models and simulations have been tagged “Logic”.

Peircean process approach to Causation from Menno Hulswit's  article . See also Peirce  IM-1376  
Logic Causation Inquiry Inference Philiosophy Methods Realist

Peircean process approach to Causation from Menno Hulswit's article. See also Peirce IM-1376 

Peircean Causation and Causality
Geoff McDonnell
An overview of Thomas A Goudge's Book on The Thought of CS Peirce Dover NY 1950 and Thomas Knight's Book Charles Peirce NY 1965
Health Care Realist Methods Logic Inquiry Causation Inference

An overview of Thomas A Goudge's Book on The Thought of CS Peirce Dover NY 1950 and Thomas Knight's Book Charles Peirce NY 1965

The Thought of CS Peirce
Geoff McDonnell
True = 1 (anything less than 1 is false) False = 0
Logic
True = 1 (anything less than 1 is false)
False = 0
LOGIC
Guy Lakeman
TRIVIAL TOY MODEL How to transfer a environment value into an agent via acting and learning without loss. This is intuitively related to the Free Energy Principle -- where acting and perception are viewed as two sides of the same coin. The desired behavior is for the agent to somehow perceive
Feedback Logic
TRIVIAL TOY MODEL
How to transfer a environment value into an agent via acting and learning without loss. This is intuitively related to the Free Energy Principle -- where acting and perception are viewed as two sides of the same coin.

The desired behavior is for the agent to somehow perceive via action -- undoing in some way the loss of information in the environment it caused.

Surely sensing the environment directly is the easiest approach, but we avoid it to explore other possibilities where an agent needs to act optimally on an environment but in so doing changes it as well. 
Agent-Environment Lossless Active Learning
Kripa Rajshekhar
Toy, to help understand what a conveyor store does.
Logic
Toy, to help understand what a conveyor store does.
Binary oscillator
Kripa Rajshekhar