Search Results for author:
Found 5 papers, 2 papers with code
Human-AI Coevolution
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature.
The Clinical Trials Puzzle: How Network Effects Limit Drug Discovery
The depth of knowledge offered by post-genomic medicine has carried the promise of new drugs, and cures for multiple diseases.
Non-Coding RNAs Improve the Predictive Power of Network Medicine
Network Medicine has improved the mechanistic understanding of disease, offering quantitative insights into disease mechanisms, comorbidities, and novel diagnostic tools and therapeutic treatments.
Human Perception of Performance
Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports.
Emergence of scaling in random networks
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology.
Disordered Systems and Neural Networks adap-org Statistical Mechanics Adaptation and Self-Organizing Systems
