Gaze categorization under uncertainty: Psychophysics and modeling

Modeling Decision Making under Uncertainty and Vagueness

This paper discuss mainly issues related for modeling decision making under uncertain, vagueness, risky and imprecise information. There will be presented a description of five ordinal methods for modeling decision making under uncertainty in the context of linguistic data: Possibilistic Decisisonmaking, Revised Possibilistic Decisisonmaking, Commensurate L-Fuzzy Risk Minimization, Fuzzy relati...

Computational modeling under uncertainty: challenges and opportunities

Computational Biology has increasingly become an important tool for biomedical and translational research. In particular, when generating novel hypothesis despite fundamental uncertainties in data and mechanistic understanding of biological processes underpinning diseases. While in the present book, we have reviewed the necessary background and existing novel methodologies that set the basis fo...

Modeling Long - Term Policy Under Uncertainty

3D Modeling Moving Objects under Uncertainty Conditions

Geospatial information systems (GIS) have been applied in modeling environmental and ecological systems. 3D Moving objects are spatiotemporal objects whose location and/or extent change over time, and they are among those recent evolutions that emerged to fulfill some of the new requirements for GI community. Many of the earlier works were based on the assumption that exact trajectory informati...

Process Modeling of Qualitative Decision Under Uncertainty

Fuzzy-trace theory assumes that decision-makers process qualitative “gist” representations and quantitative “verbatim” representations in parallel. Here, we develop a formal model of fuzzy-trace theory that explains both processes. The model also integrates effects of individual differences in numeracy, metacognitive monitoring and editing, and sensation seeking. Parameters of the model varied ...