Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

This tutorial is intended to provide an introduction to some advanced tools and concepts
needed to construct more realistic quantum models of cognition and decision. The aim is to …

Dual-Aspect Monism and the Deep Structure of Meaning investigates the metaphysical
position of dual-aspect monism, with particular emphasis on the concept of meaning as a …

Human error is one of the major contributors to adverse events in a socio-technical system.
Human factor analysis and classification system (HFACS), a qualitative method, is widely …

Although recent developments in Artificial Intelligence (AI) and machine learning (ML) aim to
enhance the fairness and transparency of decision-making systems, research has found that …

Group decision making (GDM) is widely used in a complex and uncertain real-world to help
multiple experts collectively evaluate and select appropriate alternatives. Consensus …

Savage's rational axiom of decision making under uncertainty, called the 'Sure
Thing'principle, was purportedly falsified in a two-stage gamble paradigm by Tversky and …

Multi-attribute decision making (MADM) is a classical model that widely used in various
fields. But most research about this topic often assume that the attributes are independent …

Paradoxical decision-making behaviours such as preference reversal often arise from
imprecise or noisy human preferences. Harnessing the physical principle of magnetisation …

In modeling the human affective system and applying lessons learned to human–robot
interaction, the challenge is to handle ambiguous emotional states of an agency (whether …