activity
20182020
most citedBounded rational decision-making from elementary computations that reduce uncertainty

41 citations · 41 across the 1 of their papers we have counts for

collaborators

5 papers

q-bio.NC2020

The Two Kinds of Free Energy and the Bayesian Revolution

Sebastian Gottwald, Daniel A. Braun

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 it…

cs.LG2019

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems

Heinke Hihn, Sebastian Gottwald, Daniel A. Braun

Information-theoretic bounded rationality describes utility-optimizing decision-makers whose limited information-processing capabilities are formalized by information constraints.…

cs.IT201941 cited

Bounded rational decision-making from elementary computations that reduce uncertainty

Sebastian Gottwald, Daniel A. Braun

In its most basic form, decision-making can be viewed as a computational process that progressively eliminates alternatives, thereby reducing uncertainty. Such processes are genera…

cs.MA2018

Systems of bounded rational agents with information-theoretic constraints

Sebastian Gottwald, Daniel A. Braun

Specialization and hierarchical organization are important features of efficient collaboration in economical, artificial, and biological systems. Here, we investigate the hypothesi…

cs.AI2018

Bounded Rational Decision-Making with Adaptive Neural Network Priors

Heinke Hihn, Sebastian Gottwald, Daniel A. Braun

Bounded rationality investigates utility-optimizing decision-makers with limited information-processing power. In particular, information theoretic bounded rationality models forma…