Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Chaos theory is often used to describe dynamic systems where the number of relevant variables may be much higher than the ability of computational models to account for. One example is in ...

Each theory may have its own version of reality, but according to model-­dependent realism, that diversity is acceptable, and none of the versions can be said to be more real than any other.

The following two examples illustrate the most common formulations of the general linear mixed model. Example: Growth Curve with Compound Symmetry Suppose that you have three growth curve measurements ...

In recent years microbial ecology has experienced a renaissance. In this Essay, a group of leading microbial ecologists argue that the key to realizing the full potential of this renaissance lies ...

In simplified game theory models, we talk of two parties playing a strategy one time – in this case either “play to win” or “play to tie” – and then analyze the resulting payoffs.

For example, the simple S -> R frames of behaviorism or even Input -> Output frames of the standard cognitive models of the day did not seem to be helpful because they were fairly static.

Under the neutral theory, highly diverse communities of equivalent species arise because chance extinctions are balanced by speciation. Specifically, the assumption of fitness equivalence combined ...

AI model's insight helps astronomers propose theory for observing far-off worlds; the AI didn't formulate the new theory — that was down to the human intellects ...

So, we know that the Standard Model is wrong, in that it's incomplete. It's also phenomenally successful, allowing some properties of electrons to be predicted to 13-14 decimal places.