Kant's Politics: Provisional Theory for an Uncertain World

Policies for an Uncertain World

Neural scaling laws for an uncertain world.

Autonomous neural systems must efficiently process information in a wide range of novel environments which may have very different statistical properties. We consider the problem of how to optimally distribute receptors along a 1-dimensional continuum consistent with the following design principles. First, neural representations of the world should obey a neural uncertainty principle-making as ...

Simulation theory and anticipation for interactive virtual character in an uncertain world

This paper deals with simulations of real-time interactive character behavior. The underlying idea is to take into account principles from cognitive science, in particular, the human ability to anticipate and simulate the world behavior. For that purpose, we propose a conceptual framework where the entity possesses an autonomous world of simulation within simulation, in which it can simulate it...

Defining fitness in an uncertain world

The recently elucidated definition of fitness employed by Fisher in his fundamental theorem of natural selection is combined with reproductive values as appropriately defined in the context of both random environments and continuing fluctuations in the distribution over classes in a class-structured population. We obtain astonishingly simple results, generalisations of the Price Equation and th...

Economic Reliability Forecasting in an Uncertain World

Substantial work has applied stochastic techniques to network reliability models. These techniques can estimate risk, variance and uncertainty values. Unfortunately, these models do not address the issues of revenues, return on investment, or the time-value of money. To address these issues, we have developed an Economic Reliability Analysis [ERA] framework at the University of Virginia that fu...