How do human beings perceive their environment and make their decisions? To successfully interact with the immediate environment, for human beings it is not enough to have basic evidence of the world ...

Understanding Bayesian inference through a drinking invitationHow does probability change with new information?Today's ...

Discover the latest articles and news in related subjects. Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, ...

Probabilistic programming has emerged as a powerful paradigm for constructing and analysing statistical models by combining the expressiveness of modern programming languages with the rigour of ...

In Book IV (On method) of his Institutio Logica, Pierre Gassendi proposes an unusual venue for probable and nondeductive inference in empirical reasoning: demonstrative syllogism. Thus, in 'resolution ...

Imagine walking along in the African savanna. Suddenly you notice a moving bush partially obscuring a large yellow object. From this limited information, you need to figure out if you’re in danger and ...

In the 1950s and '60s, artificial-intelligence researchers saw themselves as trying to uncover the rules of thought. But those rules turned out to be way more complicated than anyone had imagined.

Probabilistic Sentential Decision Diagrams (PSDDs) are an elegant framework for learning from and reasoning about data. They provide tractable representations of discrete probability distributions ...

The total amount of money invested in the project. The total cost includes EU contribution as well as other project costs not covered by EU funding. It is expressed in euros. Amount of money, by way ...

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...