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Found 5 papers, 1 papers with code
Incentivising cooperation by rewarding the weakest member
Autonomous agents that act with each other on behalf of humans are becoming more common in many social domains, such as customer service, transportation, and health care.
A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment
A profound challenge for A-Life is to construct agents whose behavior is 'life-like' in a deep way.
The Role of Conditional Independence in the Evolution of Intelligent Systems
When these components have multiple outputs, we intuitively assume that the outputs are causally dependent on the inputs but are themselves independent of each other given the state of their shared input.
Markov Brains: A Technical Introduction
Markov Brains are a class of evolvable artificial neural networks (ANN).
Computational evolution of decision-making strategies
Most research on adaptive decision-making takes a strategy-first approach, proposing a method of solving a problem and then examining whether it can be implemented in the brain and in what environments it succeeds.
