We argue that an analytic proportionality assessment balancing usefulness and burden on individual or group privacy must be conducted throughout the design process to create accep...
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
In most of the existing approaches to the design of multiagent systems, there is no clear way in which to relate organisational and normative structures to the model of the enviro...
— This paper describes the prey-predator multiagent hich can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as ...
Co-learning is a model involving agents from a large population, who interact by playing a fixed game and update their behaviour based on previous experience and the outcome of th...
Martin E. Dyer, Leslie Ann Goldberg, Catherine S. ...