Tag: #TheInformationLens
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Stats don’t show enough
Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing has some great figures I want to share. They show datasets which are identical over a number of statistical properties, yet produce dissimilar graphs, are frequently used to illustrate the importance of graphical representations when exploring data. As a geo-scientists,…
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“CAUSEME” to benchmark causal methods
The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the…
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Prediction: multi-scale pattern completion of the future
The notion of the brain as a prediction machine has been extremely influential and productive in cognitive sciences.One prominent framework is of a “Bayesian brain” that explicitly generates predictions and uses resultant errors to guide adaptation. The prediction-generation component of this framework may involve little more than a pattern completion process. Brain-like systems can get…
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Over-reliance on English hinders
Several studies report a ‘bilingual advantage’ for cognitive control: the ability to plan, focus, and execute a wide array of tasks is better among bilinguals compared with monolinguals, in particular among older adult bilinguals. Nonetheless, this bilingual advantage is not replicated consistently, as the effect is heavily modulated by task, age of participants, and bilingual…
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Designing Ecosystems of Intelligence from First Principles
Karl Friston joins VERSES as Chief Scientist to Lead New Era in Artificial Intelligence.VERSES published its research paper to arxiv.org to explore the applications and implications of Active Inference on the future of Artificial Intelligence. “Designing Ecosystems of Intelligence from First Principles” lays out a vision of research and development in the field of artificial intelligence…
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Take your time to consider the possibilities and options
Representations of possible actions pervade human high-level cognition, and shape how we plan, attribute causal responsibility, comprehend language, and make moral judgments.There are too many ‘possible actions’ for us to consider them all. Recent studies offer a strikingly convergent picture of how we call to mind a limited, useful set of possible actions to consider.This…
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Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly increasing. Surprisingly, the development of theory and domain-specific applications often occur in isolation, risking an effective disconnect between theoretical and methodological advances and the way network science is employed in practice. . In this work, we will focus on three intimately related…
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Information theory: A foundation for complexity science
Amos Golan and John Harte published a perspective paper, consolidating the insights and research on knowledge and models from incomplete information in complex environments, based on MaxEnt Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting…
