Entangled cognition in immersive learning experience
Adaptive Behavior
Immersive learning environments in education provide a set of rich and diverse learning affordanc... more Immersive learning environments in education provide a set of rich and diverse learning affordances (possibilities). Cognition in such environments can be considered as embodied, enacted, embedded, and extended (the 4Es of cognition). During such cognitive happenings, we assume and live as valid everything we experience. Yet in this enactive structural coupling between individuals and their experiential world, another phenomenon occurs. We become a behaviorally inseparable entity with the virtual/immersive world. We become entangled with that virtual/immersive world. Here we propose that, within the framework of the 4Es of cognition, a recognizable lived experience phenomena occurs when learners engage with virtual or immersive learning environments. That is, cognition becomes entangled in immersive environments with alternative realities. Coming from the Santiago school of cognition, and building from ideas from immersive learning, 4E cognition, and quantum entanglement inspired in...
This article points to the interesting aspect that several properties of reaction networks calcul... more This article points to the interesting aspect that several properties of reaction networks calculated at the topological or stoichiometric levels (such as autocatalysis, and other properties regarding stability), are in reality only local in time, and highly dependent on the actual dynamics that is ruling the system.
Groenewold-Van Hove theorem suggest that is not always possible to transform classical observable... more Groenewold-Van Hove theorem suggest that is not always possible to transform classical observables into quantum observables (a process known as quantization) in a way that, for all Hamiltonians, the constants of motion are preserved. The latter is a strong shortcoming for the ultimate goal of quantization, as one would expect that the notion of "constants of motion" is independent of the chosen physical scheme. It has been recently developed an approach to quantization that instead of mapping every classical observable into a quantum observable, it focuses on mapping the constants of motion themselves. In this article we will discuss the relations between classical and quantum theory under the light of this new form of quantization. In particular, we will examine the mapping of a class of operators that generalizes angular momentum where quantization satisfies the usual desirable properties.
The representation and processing of concepts is considered to be one of the hardest challenges i... more The representation and processing of concepts is considered to be one of the hardest challenges in cognitive science. While computer scientists and engineers have focused on developing advances for particular tasks, philosophers and cognitive scientists have focused on elucidating the structural nature of meaning. A remarkable bridge between these two limited-success approaches can be found in behavioral research, since, in a variety of tasks, humans process information at a conceptual level in a way that is incompatible with classical probability and fuzzy set theory. Recently, this incompatibility has been shown to occur at a deep structural level, and attempts have been made to use mathematical schemes founded on quantum structures as alternative approaches. For this reason, the application of quantum structures to this type of phenomena has received increasing attention. The quantum approach allows to faithfully model a number of non-classical deviations observed in experimental data. Moreover, it shows that genuine quantum theoretical notions, such as contextuality, superposition, emergence, and entanglement, are powerful epistemic tools to understand and represent cognitive phenomena. Preface Aerts D.(40%), Sozzo S.(40%), Veloz T(20%). (2015). Quantum Structure in Cognition and the Foundations of Human Reasoning, International Journal of Theoretical Physics, (accepted). I collaborated on the development of the theoretical analysis. The theoretical and data analyses has been improved in the final version of this thesis. Aerts D.(40%), Sozzo S.(40%), Veloz T.(20%) (2015). A New Fundamental Evidence of Non-Classical Structure in the Combination of Natural Concepts, Philosophical Transactions of the Royal Society A (accepted). I performed some of the data analysis. The theoretical and data analyses have been improved in the final version of this thesis.
On the Existence of Synergies and the Separability of Closed Reaction Networks
Lecture Notes in Computer Science, 2019
It is well known that closure is a necessary topological property for a reaction network to be dy... more It is well known that closure is a necessary topological property for a reaction network to be dynamically stable. In this work we combine notions of chemical organization theory with structural properties of reaction networks to distill a minimal set of closed reaction networks that encodes the non-trivial stable dynamical regimes of the network. In particular, these non-trivial closed sets are synergetic, in the sense that their dynamics cannot always be computed from the dynamics of its closed constituents. We introduce a notion of separability for reaction networks and prove that it is strictly related to the notion of synergy. In particular, we provide a characterization of the non-trivial closed reaction networks by means of their degree of internal synergy. The less trivial the dynamics of the reaction network, the less can be separated into constituents, and equivalently the more synergies the reaction network has. We also discuss the computational and analytical benefits of this new representation of the dynamical structure of a reaction network.
Toward endosymbiosis modeling using reaction networks
Frontiers in Bioengineering and Biotechnology, Nov 19, 2021
While the phenomena of reaching a goal is generally represented in the framework of optimization,... more While the phenomena of reaching a goal is generally represented in the framework of optimization, the phenomena of becoming of a goal is more similar to a "self-organization and emergent" rather than an "optimization and preexisting" process. In this article we provide a modeling framework for the former alternative by representing goals as emergent autopoietic structures. In order to conceptually situate our approach, we first review some of the most remarkable attempts to formally define emergence, and identify that in most cases such definitions rely on a preexisting system to be observed prior and post emergence, being thus inadequate for a formalization of emergent goals corresponding to the becoming of a systems as such (e.g. emergence of life). Next, we review how an implementation of the reaction networks framework, known as Chemical Organization Theory (COT), can be applied to formalize autopoietic structures, providing a basis to operationalize goals as an emergent process. We next revisit the definitions of emergence under the light of our approach, and demonstrate that recent taxonomies developed to classify different forms of emergence can be naturally deduced from recent work aimed to explain the kinds of changes of the organizational structure of a reaction network.
We present a novel approach to represent ecological systems using reaction networks, and show how... more We present a novel approach to represent ecological systems using reaction networks, and show how a particular framework called Chemical Organization Theory (COT) sheds new light on the longstanding complexity-stability debate. Namely, COT provides a novel conceptual landscape plenty of analytic tools to explore the interplay between structure and stability of ecological systems. Given a large set of species and their interactions, COT identifies, in a computationally feasible way, each and every sub-collection of species that is closed and self-maintaining. These sub-collections, called organizations, correspond to the groups of species that can survive together (co-exist) in the long-term. Thus, the set of organizations contains all the stable regimes that can possibly happen in the dynamics of the ecological system. From here, we propose to conceive the notion of stability from the properties of the organizations, and thus apply the vast knowledge on the stability of reaction networks to the Complexity-Stability debate. As an example of the potential of COT to introduce new mathematical tools, we show that the set of organizations can be equipped with suitable joint and meet operators, and that for certain ecological systems the organizational structure is a non-boolean lattice, providing in this way an unexpected connection between logico-algebraic structures, popular in the foundations of quantum theory, and ecology.
Quantum Cognitive Modeling of Concepts: An Introduction
Modelo de Química Artificial como linguagem de criação artística
Link Symposium .., Dec 31, 2021
As Químicas Artificiais (AC) representam sistemas que consistem em “espécies” que representam áto... more As Químicas Artificiais (AC) representam sistemas que consistem em “espécies” que representam átomos ou moléculas, que interagem de acordo com regras de transformação semelhantes a reações químicas. O principal campo de aplicação das AC são os sistemas bioquímicos, onde têm sido amplamente aplicadas em relação à representação de sistemas autopoiéticos e ao surgimento de vida. Devido ao seu poder gerador, as AC têm sido aplicadas em outras áreas, como as ciências cognitivas e sociais, bem como para a criação artística. Seguindo essa ideia, desenvolvemos um grupo de pesquisa orientado para a prática, cujo objetivo é explorar a relação bidirecional entre a teoria da AC e a criação de sistemas generativos nos campos da arte e do design. Nosso projeto de pesquisa segue a noção de Abraham A. Moles, de que toda ferramenta analítica pode ser usada como ferramenta de criação, e vice-versa. Nosso programa de pesquisa atual está dividido em três subáreas, que estão interligadas: 1) investigar o potencial dos métodos artísticos para ajudar a aprofundar o entendimento e a compreensão intuitiva da estrutura e das propriedades das ACs. O método central que estamos explorando é o de sonificação; 2) explorar o potencial dos conceitos de AC como ferramentas para criar sistemas generativos nos campos da arte e design. De especial interesse é a aplicação de conceitos em AC para criar sistemas de som generativos baseados em interações homem-máquina; 3) explorar o potencial dos conceitos em AC como ferramentas analíticas para analisar estruturas básicas do processo de design criativo. Ao traduzir nossas observações de um processo criativo para a linguagem da AC, tanto em nível conceitual quanto operacional, pretendemos conceber um processo de formalização efetiva em direção a uma intuição artificial. Esta área de pesquisa pode ser vista como o arcabouço conceitual que incorpora as áreas de pesquisa 1 e 2. Durante o nosso projeto de pesquisa, que inclui 6 meses de sessões quinzenais e o desenvolvimento de um curso orientado para a prática para estudantes de design, identificamos que a AC requer adaptações específicas para descrever com eficácia os processos criativos nos campos da arte e do design. Portanto, nesta palestra iremos apresentar os fundamentos da AC e sua aplicação à arte generativa, e apresentar nossa abordagem estendida chamada Modelo de Química Artificial Abstrato (AACM), que adapta a AC ao desenvolvimento de aplicações artísticas e de design.
Modelo de química artificial como lenguaje para la creación artística
Link Symposium .., Dec 31, 2021
Las químicas artificiales (AC) representan sistemas que consisten en “especies” que representan á... more Las químicas artificiales (AC) representan sistemas que consisten en “especies” que representan átomos o moléculas, que interactúan de acuerdo con reglas transformadoras que se asemejan a reacciones químicas. El principal campo de aplicación de las AC son los sistemas bioquímicos, donde se ha aplicado ampliamente este concepto en relación con la representación de sistemas autopoyéticos y el surgimiento de la vida. Debido a su poder generativo, las AC se han aplicado en otras áreas como las ciencias cognitivas y sociales, así como en la creación artística. Siguiendo esta idea, desarrollamos un grupo de investigación orientado a la práctica cuyo objetivo es explorar la relación bidireccional entre la teoría de la AC y la creación de sistemas generativos en los campos del arte y el diseño. Nuestro proyecto de investigación sigue la noción de Abraham A. Moles, de que toda herramienta analítica se puede utilizar como herramienta para la creación y viceversa. Nuestro programa de investigación actual se divide en tres subáreas que están interconectadas: 1) Investigar el potencial de los métodos artísticos para ayudar a profundizar la comprensión y la comprensión intuitiva de la estructura y las propiedades de las ACs. El método central que estamos explorando es el método de sonificación. 2) Explorar el potencial de los conceptos de AC como herramientas para crear sistemas generativos en los campos del arte y el diseño. De especial interés es la aplicación de conceptos en AC para crear sistemas de sonido generativos que se basan en interacciones hombre-máquina. 3) Explorar el potencial de los conceptos en AC como herramientas analíticas para analizar estructuras básicas del proceso de diseño creativo. Al traducir nuestras observaciones de un proceso creativo al lenguaje de AC, tanto a nivel conceptual como operativo, nuestro objetivo es idear un proceso de formalización eficaz hacia una intuición artificial. Esta área de investigación puede verse como el marco conceptual que incorpora las áreas de investigación 1 y 2. Durante nuestro proyecto de investigación, que incluye 6 meses de sesiones quincenales y el desarrollo de un curso orientado a la práctica para estudiantes de diseño, hemos identificado que las AC requieren de adaptaciones específicas para describir con eficacia los procesos creativos en los campos del arte y el diseño. Por ello, en esta charla introduciremos los conceptos básicos de la AC y su aplicación al arte generativo, y presentaremos nuestro enfoque extendido llamado Modelo de Química Artificial a (AACM), que adapta la AC al desarrollo de aplicaciones artísticas y de diseño.
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Understanding the underlying structure of evolutionary processes is one the most important issues... more Understanding the underlying structure of evolutionary processes is one the most important issues of scientific enquiry of this century [...]
The emergence and evolution of worldviews is a complex phenomenon that requires strong and rigoro... more The emergence and evolution of worldviews is a complex phenomenon that requires strong and rigorous scientific attention in our hyperconnected world. On the one hand, cognitive theories have proposed reasonable frameworks but have not reached general modeling frameworks where predictions can be tested. On the other hand, machine-learning-based applications perform extremely well at predicting outcomes of worldviews, but they rely on a set of optimized weights in a neural network that does not comply to a well-founded cognitive framework. In this article, we propose a formal approach used to investigate the establishment of and change in worldviews by recalling that the realm of ideas, where opinions, perspectives and worldviews are shaped, resemble, in many ways, a metabolic system. We propose a general modelization of worldviews based on reaction networks, and a specific starting model based on species representing belief attitudes and species representing belief change triggers. T...
This article points to the interesting aspect that several properties of reaction networks calcul... more This article points to the interesting aspect that several properties of reaction networks calculated at the topological or stoichiometric levels (such as autocatalysis, and other properties regarding stability), are in reality only local in time, and highly dependent on the actual dynamics that is ruling the system.
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