From Bayes-optimal to heuristic decision-making in a two-alternative forced choice task with an information-theoretic bounded rationality model

C Lindig-León, N Kaur, DA Braun - Frontiers in Neuroscience, 2022 - frontiersin.org
Bayes optimal and heuristic decision-making schemes are often considered fundamentally
opposed to each other as a framework for studying human choice behavior, although …

Thermodynamic fluctuation theorems govern human sensorimotor learning

P Hack, C Lindig-Leon, S Gottwald, DA Braun - Scientific Reports, 2023 - nature.com
The application of thermodynamic reasoning in the study of learning systems has a long
tradition. Recently, new tools relating perfect thermodynamic adaptation to the adaptation …

Authority or autonomy? Exploring interactions between central and peer punishments in risk-resistant scenarios

J Qian, X Sun, T Zhang, Y Chai - Entropy, 2022 - mdpi.com
Game theory provides a powerful means to study human cooperation and better understand
cooperation-facilitating mechanisms in general. In classical game-theoretic models, an …

Coordination mechanisms in joint action

C De Vicariis - 2023 - tesidottorato.depositolegale.it
Coordinated actions of multiple agents that bring about a change in the environment are
referred as 'joint action'. Joint action is ubiquitous in our daily life-for example while carrying …

[PDF][PDF] From Bayes-optimal to heuristic decision-making in a two-alternative forced choice task with an information-theoretic bounded

C Lindig-León, N Kaur, DA Braun - oparu.uni-ulm.de
In the cognitive and neural sciences, Bayes-optimal decision-making models have
advanced over the last few decades to one of the dominant formal approaches to …