Other Types of Digital Brains
One of my insterests is in alternate methods to build digital brains.
I am very interested in understanding the effectiveness and adaptability of different types of brains and in learning if there are meta-rules that could help both to engineer digital brains and to understand biological intelligence.
Here are a couple of examples of other types of Brains:
I am very interested in understanding the effectiveness and adaptability of different types of brains and in learning if there are meta-rules that could help both to engineer digital brains and to understand biological intelligence.
Here are a couple of examples of other types of Brains:
- Neuron gates are a type of gate used in Markov Brains. I list them here because they represent a significant departure from typical Markov Brain gates. Neuron Gates have multiple inputs (dendrites) and a single output (axon). The values from the inputs are accumulated over time in an internal charge. When the charge exceeds an evolved threshold, an evolved output value is delivered. For more information, click here.
- Wire Brains are based on Wireworld, a cellular automaton first proposed by Brian Silverman in 1987. Wire Brains expand on Wireworld, by adding a third dimension and additional rules, but more importantly, Wire Brains can be encoded by digital genomes, and so, can be acted upon by evolution. Wire Brains approximate electrical current flowing though wires. Inputs are delivered to a wire brain by setting active 'input' cells. Some number of brain updates are run during which the charge radiates through the brain. Output cells are observed while the brain is running in order to determine the output.