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Found 6 papers, 1 papers with code
Automatic Bat Call Classification using Transformer Networks
Major challenges in automatic bat call identification are high call variability, similarities between species, interfering calls and lack of annotated data.
The Two Kinds of Free Energy and the Bayesian Revolution
The concept of free energy has its origins in 19th century thermodynamics, but has recently found its way into the behavioral and neural sciences, where it has been promoted for its wide applicability and has even been suggested as a fundamental principle of understanding intelligent behavior and brain function.
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems
We demonstrate the approach for decision-making problems whose complexity exceeds the capabilities of individual decision-makers, but can be solved by combining the decision-makers optimally.
Bounded rational decision-making from elementary computations that reduce uncertainty
In its most basic form, decision-making can be viewed as a computational process that progressively eliminates alternatives, thereby reducing uncertainty.
Systems of bounded rational agents with information-theoretic constraints
Specialization and hierarchical organization are important features of efficient collaboration in economical, artificial, and biological systems.
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Bounded rationality investigates utility-optimizing decision-makers with limited information-processing power.
