Rational decision making under uncertainty: a new paradigm based on choice functions.

01 January 2019 → 31 December 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Artificial intelligence
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Social sciences
    • Cognitive science and intelligent systems
Uncertainty decision making choice functions classification
Project description

This project aims to develop a mathematical framework for rational decision making under uncertainty, and to design reliable classification methods with it. One of its key features is that it does away with the traditional yet unrealistic assumption that there is always an optimal choice.
Instead, we allow for indecision by using choice functions, and use this to our advantage.