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Entropy (Basel, Switzerland)

ISSN 1099-4300

69 papers in the library · 186 citations · publishing 2018-2026

Papers

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Modelling Consciousness within Mental Monism: An Automata-Theoretic Approach.

Entropy (Basel, Switzerland) June 22, 2020 Peter Lloyd

Models of consciousness are usually developed within physical monist or dualistic frameworks, in which the structure and dynamics of the mind are derived from the workings of the physical brain. Little attention has been given to modelling consciousness within a mental monist framework, deriving the structure and dynamics of the mental world from primitive mental constituents only-with no...

Varieties Of Evolved Forms Of Consciousness, Including Mathematical Consciousness.

Entropy (Basel, Switzerland) June 2, 2020 Aaron Sloman

I shall introduce a complex, apparently unique, cross-disciplinary approach to understanding consciousness, especially ancient forms of mathematical consciousness, based on joint work with Jackie Chappell (Birmingham Biosciences) on the Meta-Configured Genome (MCG) theory. All known forms of consciousness (apart from recent very simple AI forms) are products of biological evolution, in some...

DOI: 10.3390/e22060615 (opens in new tab) Full text (opens in new tab) Development Biological evolution Ai Immanuel kant +7

Mathematical Models of Consciousness.

Entropy (Basel, Switzerland) May 30, 2020 Johannes Kleiner 37 citations

In recent years, promising mathematical models have been proposed that aim to describe conscious experience and its relation to the physical domain. Whereas the axioms and metaphysical ideas of these theories have been carefully motivated, their mathematical formalism has not. In this article, we aim to remedy this situation. We give an account of what warrants mathematical representation of...

DOI: 10.3390/e22060609 (opens in new tab) Full text (opens in new tab) Epistemic asymmetry Experience space Mathematical consciousness science Mathematical phenomenology +5

Ecological Clues to the Nature of Consciousness.

Entropy (Basel, Switzerland) May 30, 2020 Robert E Ulanowicz

Some dynamics associated with consciousness are shared by other complex macroscopic living systems. For example, autocatalysis, an active agency in ecosystems, imparts to them a centripetality, the ability to attract resources that identifies the system as an agency apart from its surroundings. It is likely that autocatalysis in the central nervous system likewise gives rise to the phenomenon...

DOI: 10.3390/e22060611 (opens in new tab) Full text (opens in new tab) Consciousness Simultaneity Autocatalysis Ecosystem dynamics +2

Re-Thinking the World with Neutral Monism:Removing the Boundaries Between Mind, Matter, and Spacetime.

Entropy (Basel, Switzerland) May 14, 2020 Michael Silberstein, William Stuckey 21 citations

Herein we are not interested in merely using dynamical systems theory, graph theory, information theory, etc., to model the relationship between brain dynamics and networks, and various states and degrees of conscious processes. We are interested in the question of how phenomenal conscious experience and fundamental physics are most deeply related. Any attempt to mathematically and formally...

DOI: 10.3390/e22050551 (opens in new tab) Full text (opens in new tab) Hard problem Conscious observer Constructive explanation Explanatory gap +5

Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism.

Entropy (Basel, Switzerland) April 30, 2020 Karl Friston, Wanja Wiese, J Allan Hobson

This essay addresses Cartesian duality and how its implicit dialectic might be repaired using physics and information theory. Our agenda is to describe a key distinction in the physical sciences that may provide a foundation for the distinction between mind and matter, and between sentient and intentional systems. From this perspective, it becomes tenable to talk about the physics of sentience...

DOI: 10.3390/e22050516 (opens in new tab) Full text (opens in new tab) Consciousness Information geometry Markovian monism

Fact, Fiction, and Fitness.

Entropy (Basel, Switzerland) April 30, 2020 Chetan Prakash, Chris Fields, Donald D Hoffman et al.

A theory of consciousness, whatever else it may do, must address the structure of experience. Our perceptual experiences are richly structured. Simply seeing a red apple, swaying between green leaves on a stout tree, involves symmetries, geometries, orders, topologies, and algebras of events. Are these structures also present in the world, fully independent of their observation? Perceptual...

DOI: 10.3390/e22050514 (opens in new tab) Full text (opens in new tab) Bayesian decision theory Evolutionary game theory Evolutionary psychology Fitness +3

The Emergence of Integrated Information, Complexity, and 'Consciousness' at Criticality.

Entropy (Basel, Switzerland) March 16, 2020 Nicholas J M Popiel, Sina Khajehabdollahi, Pubuditha M. Abeyasinghe et al.

Integrated Information Theory (IIT) posits that integrated information ( Φ ) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate Φ as a function of temperature in toy models of fully connected neural networks. A Monte-Carlo simulation was run on 159 normalized, random, positively weighted networks analogous to small five-node excitatory...

DOI: 10.3390/e22030339 (opens in new tab) Full text (opens in new tab) Ising model Criticality Integrated information

The Self-Simulation Hypothesis Interpretation of Quantum Mechanics.

Entropy (Basel, Switzerland) February 21, 2020 Klee Irwin, Marcelo Amaral, David Chester

We modify the simulation hypothesis to a self-simulation hypothesis, where the physical universe, as a strange loop, is a mental self-simulation that might exist as one of a broad class of possible code theoretic quantum gravity models of reality obeying the principle of efficient language axiom. This leads to ontological interpretations about quantum mechanics. We also discuss some...

Entropy-Based Measures of Hypnopompic Heart Rate Variability Contribute to the Automatic Prediction of Cardiovascular Events.

Entropy (Basel, Switzerland) February 20, 2020 Xueya Yan, Lulu Zhang, Jinlian Li et al.

Surges in sympathetic activity should be a major contributor to the frequent occurrence of cardiovascular events towards the end of nocturnal sleep. We aimed to investigate whether the analysis of hypnopompic heart rate variability (HRV) could assist in the prediction of cardiovascular disease (CVD). 2217 baseline CVD-free subjects were identified and divided into CVD group and non-CVD group,...

DOI: 10.3390/e22020241 (opens in new tab) Full text (opens in new tab) Xgboost Cardiovascular disease Heart rate variability Machine learning +1

Evaluating Approximations and Heuristic Measures of Integrated Information.

Entropy (Basel, Switzerland) May 24, 2019 André Sevenius Nilsen, Bjørn Erik Juel, William Marshall

Integrated information theory (IIT) proposes a measure of integrated information, termed Phi (Φ), to capture the level of consciousness of a physical system in a given state. Unfortunately, calculating Φ itself is currently possible only for very small model systems and far from computable for the kinds of system typically associated with consciousness (brains). Here, we considered several...

The Evolution of Neuroplasticity and the Effect on Integrated Information.

Entropy (Basel, Switzerland) May 24, 2019 Leigh Sheneman, Jory Schossau, Arend Hintze

Information integration theory has been developed to quantify consciousness. Since conscious thought requires the integration of information, the degree of this integration can be used as a neural correlate (Φ) with the intent to measure degree of consciousness. Previous research has shown that the ability to integrate information can be improved by Darwinian evolution. The value Φ can change...

DOI: 10.3390/e21050524 (opens in new tab) Full text (opens in new tab) Autonomous learning Information integration theory Neuroevolution

Dynamic Computation in Visual Thalamocortical Networks.

Entropy (Basel, Switzerland) May 16, 2019 Roy Moyal, Shimon Edelman

Contemporary neurodynamical frameworks, such as coordination dynamics and winnerless competition, posit that the brain approximates symbolic computation by transitioning between metastable attractive states. This article integrates these accounts with electrophysiological data suggesting that coherent, nested oscillations facilitate information representation and transmission in thalamocortical...

DOI: 10.3390/e21050500 (opens in new tab) Full text (opens in new tab) Awareness Coherence Metastable Oscillations +4

Exclusion and Underdetermined Qualia.

Entropy (Basel, Switzerland) April 16, 2019 Kyumin Moon

Integrated information theory (IIT) asserts that both the level and the quality of consciousness can be explained by the ability of physical systems to integrate information. Although the scientific content and empirical prospects of IIT have attracted interest, this paper focuses on another aspect of IIT, its unique theoretical structure, which relates the phenomenological axioms with the...

DOI: 10.3390/e21040405 (opens in new tab) Full text (opens in new tab) Phenomenology Consciousness Experience Integrated information theory +1

From Learning to Consciousness: An Example Using Expected Float Entropy Minimisation.

Entropy (Basel, Switzerland) January 13, 2019 Jonathan W D Mason

Over recent decades several mathematical theories of consciousness have been put forward including Karl Friston's Free Energy Principle and Giulio Tononi's Integrated Information Theory. In this article we further investigate theory based on Expected Float Entropy (EFE) minimisation which has been around since 2012. EFE involves a version of Shannon Entropy parameterised by relationships. It...

DOI: 10.3390/e21010060 (opens in new tab) Full text (opens in new tab) Consciousness and relationships Float entropy Typical data

Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation.

Entropy (Basel, Switzerland) December 25, 2018 Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett

Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its centre measures that quantify the extent to which a system generates more information than the sum of its parts. While several candidate measures of integrated information (" Φ ") now exist, little is known about how they compare, especially in terms of their behaviour on non-trivial network models. In...

DOI: 10.3390/e21010017 (opens in new tab) Full text (opens in new tab) Complexity Computational neuroscience Consciousness Integrated information theory

What Does 'Information' Mean in Integrated Information Theory?

Entropy (Basel, Switzerland) November 22, 2018 Olimpia Lombardi, Cristian López

Integrated Information Theory (IIT) intends to provide a principled theoretical approach able to characterize consciousness both quantitatively and qualitatively. By starting off identifying the fundamental properties of experience itself, IIT develops a formal framework that relates those properties to the physical substratum of consciousness. One of the central features of ITT is the role...

DOI: 10.3390/e20120894 (opens in new tab) Full text (opens in new tab) Shannon information Causation Integrated information theory

Eco-Cognitive Computationalism: From Mimetic Minds to Morphology-Based Enhancement of Mimetic Bodies.

Entropy (Basel, Switzerland) June 4, 2018 Lorenzo Magnani

Eco-cognitive computationalism sees computation in context, exploiting the ideas developed in those projects that have originated the recent views on embodied, situated, and distributed cognition. Turing's original intellectual perspective has already clearly depicted the evolutionary emergence in humans of information, meaning, and of the first rudimentary forms of cognition, as the result of...

DOI: 10.3390/e20060430 (opens in new tab) Full text (opens in new tab) Co-evolution Eco-cognitive computationalism Information Mimetic bodies +4

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory.

Entropy (Basel, Switzerland) March 6, 2018 Jun Kitazono, Ryota Kanai, Masafumi Oizumi

The ability to integrate information in the brain is considered to be an essential property for cognition and consciousness. Integrated Information Theory (IIT) hypothesizes that the amount of integrated information ( Φ ) in the brain is related to the level of consciousness. IIT proposes that, to quantify information integration in a system as a whole, integrated information should be measured...

DOI: 10.3390/e20030173 (opens in new tab) Full text (opens in new tab) Queyranne’s algorithm Consciousness Integrated information theory Minimum information partition +1