AI Expert Charles Simon Publishes Guide for Creating Artificial General Intelligence
“The Brain Simulator II software is now robust enough to need a full explanation which not only documents the program, but explains the background and philosophy behind it and the direction of future development,” notes Simon. “I wrote the companion book to provide neuroscientists, cognitive scientists, and programmers interested in AGI or spiking AI software with everything they might need to build a system that can learn about object permanence, spatial relationships, and time/causality, and ultimately help AI to become AGI.”
Highlighting the features that set Brain Simulator II apart from other AI software – including user and programming interfaces which allow users to examine and modify the network’s internal workings in real time, a powerful spiking neuron engine that is a biologically plausible emulation of the brain, and more than 50 modules for performing a variety of AI tasks – Brain Simulator II: The Guide for Creating Artificial General Intelligence contains chapters which describe:
- Neuron simulation models currently being implemented, and the distinction between biological neurons and traditional AI;
- Applications of neurons that work together to perform digital logic functions;
- Modules which allow programmers to create custom computer code for any cluster of neurons; and
- The Universal Knowledge Store (UKS), a set of modules which can store any kind of information and create relationships between different types of information.
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