We introduce the framework of general probabilistic theories (GPTs for short). GPTs are a
class of operational theories that generalize both finite-dimensional classical and quantum …

The paper presents quantum model of subjective text perception based on binary cognitive
distinctions corresponding to words of natural language. The result of perception is quantum …

Can the theory that reality is a simulation be tested? We investigate this question based on
the assumption that if the system performing the simulation is finite (ie has limited …

We show how the discovery of robust scalable numerical solvers for arbitrary bounded linear
operators can be automated as a Game Theory problem by reformulating the process of …

Recent work has formally linked the traditional axiomatisation of incomplete preferences à la
Anscombe-Aumann with the theory of desirability developed in the context of imprecise …

With techniques borrowed from quantum information theory, we develop a method to
systematically obtain operator inequalities and identities in several matrix variables. These …

We argue that there is a simple, unique, reason for all quantum paradoxes, and that such a
reason is not uniquely related to quantum theory. It is rather a mathematical question that …

In certain problems in model building and Bayesian analysis, the results end up in forms
connected with generalized zeta functions. This necessitates the introduction of an extended …

There have been impressive advancements in the field of natural language processing
(NLP) in recent years, largely driven by innovations in the development of transformer-based …

Inspired by the theory of desirable gambles that is used to model uncertainty in the field of
imprecise probabilities, I present a theory of desirable things. Its aim is to model a subject's …