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 …

One of the main challenges of cognitive science is to explain the representation of
conceptual knowledge and the mechanisms involved in evaluating the similarities between …

The distributional pattern of words in language forms the basis of linguistic distributional
knowledge and contributes to conceptual processing, yet many questions remain regarding …

Qualitative relationships between two instances of conscious experiences can be quantified
through the perceived similarity. Previously, we proposed that by defining similarity …

Since Tversky argued that similarity judgments violate the three metric axioms, asymmetrical
similarity judgments have been particularly challenging for standard, geometric models of …

We introduce a novel model of similarity. Following previous models, we espouse the metric
approach, namely,(dis) similarity between objects is represented as distance. Unlike …

In this article, we hypothesize that a metric underlies similarity within an active “patch” of a
semantic space, meaning the subset of the semantic space to which attention is directed at a …

Over the last 10 years there has been growing interest in the application of the quantum
probability rules in the modelling of many aspects of human behaviour, including decision …

Restricted equivalence functions are well-known functions to compare two numbers in the
interval between 0 and 1. Despite the numerous works studying the properties of restricted …

In alignment with the distributional hypothesis of language, the work “Quantum Projections
on Conceptual Subspaces”(Martínez-Mingo A, Jorge-Botana G, Martinez-Huertas JÁ, et al …