No. 2: How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or ?
Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI ResearchPDF
Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation AgnosticismPDF
Bridging the Mind-Brain Gap by Morphogenetic ”Neuron Flocking”: The Dynamic Self-Organization of Neural Activity into Mental ShapesPDF