Not all uncertainty is alike: volatility, stochasticity, and exploration
Adaptive decision-making in biological and artificial intelligence requires balancing the exploitation of known outcomes with the exploration of uncertain alternatives. Although prior work suggests that uncertainty generally promotes exploration, it has typically treated distinct sources of environmental uncertainty as equivalent. We consider environments with latent reward states that drift over time (volatility) and are observed through noisy outcomes (stochasticity). Both increase posterior u
Record details
Published: 19 May 2026
Source: arXiv
Category: Research
Topics: Environment · Biotech
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
arXiv · 1 May 2026
A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics
arXiv · 30 April 2026
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs
arXiv · 12 June 2026
FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
arXiv · 22 April 2026
SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories
arXiv · 16 April 2026
Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints
HuggingFace Daily Papers · 19 July 2026
How to cite this record
ethics.ai (19 May 2026), “Not all uncertainty is alike: volatility, stochasticity, and exploration,” evidence record 4072, https://ethics.ai/record/4072 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.