Riccardo Franco

AI
3papers
10citations
Novelty42%
AI Score19

3 Papers

AIAug 13, 2020
Constructed emotions and superinformation: a constructor-theoretic approach

Riccardo Franco

In this paper we apply the constructor-theoretic approach to the theory of constructed emotions, showing that core affect valence and knowledge can be considered as two different observables, leading to information or superinformation conditions: this depends on subject's strategy, coherently with the affect infusion model. In the second part of the article we show that additional hypotheses on the structure of information allows to study emotions in terms of the contructor-theoretic version of phase task. Quantum algorithms are presented as an example of the connection between emotions and memory tasks.

AIMar 21, 2019
First steps to a constructor theory of cognition

Riccardo Franco

This article applies the conceptual framework of constructor theory of information to cognition theory. The main result of this work is that cognition theory, in specific situations concerning for example the conjunction fallacy heuristic, requires the use of superinformation media, just as quantum theory. This result entails that quantum and cognition theories can be considered as elements of a general class of superinformation-based subsidiary theories.

NCNov 23, 2016
Towards a new quantum cognition model

Riccardo Franco

This article presents a new quantum-like model for cognition explicitly based on knowledge. It is shown that this model, called QKT (quantum knowledge-based theory), is able to coherently describe some experimental results that are problematic for the prior quantum-like decision models. In particular, I consider the experimental results relevant to the post-decision cognitive dissonance, the problems relevant to the question order effect and response replicability, and those relevant to the grand-reciprocity equations. A new set of postulates is proposed, which evidence the different meaning given to the projectors and to the quantum states. In the final part, I show that the use of quantum gates can help to better describe and understand the evolution of quantum-like models.