Hierarchical decision-making produces persistent differences in learning performance
نویسندگان
چکیده
منابع مشابه
Hierarchical Decision Making
Decision making must be made within an appropriate context; we contend that such context is best represented by a hierarchy of states. The lowest levels of this hierarchy represent the observed raw data, or specific low-level behaviors and decisions. As we ascend the hierarchy, the states become increasingly abstract, representing higher order tactics, strategies, and over-arching mission goals...
متن کاملIndividual differences in causal learning and decision making.
In judgment and decision making tasks, people tend to neglect the overall frequency of base-rates when they estimate the probability of an event; this is known as the base-rate fallacy. In causal learning, despite people's accuracy at judging causal strength according to one or other normative model (i.e., Power PC, DeltaP), they tend to misperceive base-rate information (e.g., the cause densit...
متن کاملHierarchical Reinforcement Learning and Decision Making for Intelligent Machines
A methodology for performance improvement of Intelligent Machines based on Hierarchical Reinforcement Learning is introduced. Machine Decision Making and Learning are based on a cost function which includes reliability and computational cost of algorithms at the three levels of the hierarchy proposed by Saridis. Despite this particular formalization, the methodology intends to be suuciently gen...
متن کاملLearning Temporally Persistent Hierarchical Representations
A biologically motivated model of cortical self-organization is proposed. Context is combined with bottom-up information via a maximum likelihood cost function. Clusters of one or more units are modulated by a common contextual gating Signal; they thereby organize themselves into mutually supportive predictors of abstract contextual features. The model was tested in its ability to discover view...
متن کاملHierarchical Decision Making in Machine Design
This paper considers team decision making in mechanical engineering design, and in particular for decisions based on hierarchical evaluation criteria. We develop the Analytic Hierarchy Process as appropriate for mechanical design teams, and demonstrate that the method is particularly well suited for design problems that involve hierarchical descriptions such as for precision machine tools. The ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2018
ISSN: 2045-2322
DOI: 10.1038/s41598-018-34128-w