research
∙
03/29/2023
ChatGPT believes it is conscious
The development of advanced generative chat models, such as ChatGPT, has...
share
research
∙
01/03/2023
Detecting Information Relays in Deep Neural Networks
Deep learning of artificial neural networks (ANNs) is creating highly fu...
research
∙
10/04/2022
Incentivising cooperation by rewarding the weakest member
Autonomous agents that act with each other on behalf of humans are becom...
research
∙
04/05/2018
The structure of evolved representations across different substrates for artificial intelligence
Artificial neural networks (ANNs), while exceptionally useful for classi...
research
∙
01/16/2018
The Role of Conditional Independence in the Evolution of Intelligent Systems
Systems are typically made from simple components regardless of their co...
research
∙
09/17/2017
Markov Brains: A Technical Introduction
Markov Brains are a class of evolvable artificial neural networks (ANN)....
research
∙
05/29/2017
Machine Learned Learning Machines
There are two common approaches for optimizing the performance of a mach...
research
∙
02/29/2016
Exploring the coevolution of predator and prey morphology and behavior
A common idiom in biology education states, "Eyes in the front, the anim...
research
∙
09/18/2015
Computational evolution of decision-making strategies
Most research on adaptive decision-making takes a strategy-first approac...
research
∙
10/23/2013
Risk aversion as an evolutionary adaptation
Risk aversion is a common behavior universal to humans and animals alike...
research
∙
09/14/2012
Predator confusion is sufficient to evolve swarming behavior
Swarming behaviors in animals have been extensively studied due to their...
research
∙
06/25/2012
The evolution of representation in simple cognitive networks
Representations are internal models of the environment that can provide ...
research
∙
03/09/2011
