Finding an information concept suited for a universal theory of information

Brier, Søren

doi:10.1016/j.pbiomolbio.2015.06.018

Cited by 20 publications

(25 citation statements)

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“…This view leaves out the conscious observer as the cause of experiences who can detect differences and make certain differences more important than others. Communication is seen as the transfer of objectively measured bits of information (further explained in [19]).…”

Section: How To Formulate the Problemmentioning

confidence: 99%

“…It is the unsolved problem of a theory of mind, which includes qualia [3] that is a vital aspect of the problem. Furthermore even if that is solved, then there is still the problem if a science of experiential mind and meaningful communication beyond the quantitative and logical view of mechanistic science is possible at all [4,5]. Bertalanffy [6] as well as Wiener [7] wanted to go beyond mechanicism.…”

Section: Introductionmentioning

confidence: 99%

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Cybersemiotic Systemic and Semiotical Based Transdisciplinarity

Brier

2019

TJES

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A transdisciplinary theory of cognition and communication based on the process self-organizing and autopoietic system theory of Niklas Luhmann integrated with a triadic semiotic paradigm of experience and interpretation with phenomenological and hermeneutical aspects of C.S. Peirce, goes beyond info-computationalism in its integrating of phenomenological and hermeneutical aspects of Peircean semiotic logic with a cybernetic and autopoietic systemic emergentist process view. This makes the emergence of mind and transdisciplinary view of sciences possible.

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Section: How To Formulate the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cybersemiotic Systemic and Semiotical Based Transdisciplinarity

Brier

2019

TJES

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“…Some scholars believe that it is necessary to form a unified theory of information and which is also feasible, although it can be obtained at different theoretical and practical levels. Wolfgang Hofkirchner [1] and Søren Brier [2] are two of representative scholars.…”

Section: Research Background and Purpose Of The Workmentioning

confidence: 99%

Truth Analysis of Definition of Information

Nan

2017

Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR a SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.

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The definition follows the propositional logic, the definition of information is no exception. In recent years, the starting point of the research on the definition of information involves generally investigation of the history of the concept, interdisciplinary research and different aspects of cognition that includes ontology, epistemology, and linguistics and so on, the understanding about the definition of information is divergent. As long as it is about definition of information, regardless what kind of study, however, follows the propositional logic. So the true and false judgment about the definition of information is actually judgment on the proposition of the definition of information. This paper classifies various kinds of intension and definition of the information in the propositional structure by analysing the propositional structure of definition of information and various kinds of defined method about definition of information.

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“…They are phenomenology-based (e.g. Simeonov, 2015;Matsuno, 2015;Hipólito, 2015;Ehresmann & Gomez-Ramirez, 2015;Goranson et al, 2015) and bio/cyber-semiotics-based (Kull, 2015;Brier;Nakajima, 2015).…”

Section: Research Focus (Rf): Second-order and Higher-order Logics Mamentioning

confidence: 99%

Integral Biomathics reloaded: 2015

Simeonov¹,

Cottam

2015

Progress in Biophysics and Molecular Biology

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Recap and antrorseMany biological phenomena do not have adequate mathematical representations. This is because living systems use structures that are not yet grasped by our present conceptions of mathematics and computation. In particular they are circularly organized and they use recursions. Mathematics and computation at the present time deal only superficially with circular organization or the consequences of recursion. We just have not yet found a way to adequately deal with such matters 1 ! Current approaches to complex problems rely on modelling, but one aspect of the problem is that they rely on a single form of mathematics, switching from it to another to address the next aspect, and so on. All this switching is an indication of how inadequate our mathematical tools are to date (ODE/PDE systems, stochastic models, discrete state-transition systems, topological algebra, etc.). Biological systems function at all these levels simultaneously. Yet, the real problem is that even the simplest recursions are beyond our capacity to analyse at the present time. It is not biology that is too messy to be modelled; it is our use of current mathematical paradigms that are not able to adequately address these biological problems (Root-Bernstein, R. S., 2012). These paradigms are keeping biology within the fixed boundaries of physics, the domain of nonliving matter. Despite being the most advanced mathematics-based natural sciences discipline, physics is currently experiencing its own crisis when trying to overcome the dichotomy between its major theories (Smolin, 2006) and remains not sufficiently developed to explain living systems. Is this a chance in disguise?We believe that further advances in the sciences -physical, biological, social -require new levels of integration across the domains. It is a commonplace to seek a "paradigm shift" (Kuhn, 1962) to advance the frontiers of a scientific domain. Such shift can also uplift the network of interdisciplinary connections among existing research areas. However, we are seeking more than a shift that advances the network of the complex dynamical system of knowledge. We seek to advance the nature of the links of this network by encouraging the development of mathematical and computational methods that will at once change the shapes of the nodes and the links, thus performing a simultaneous "quantum jump" in multiple disciplines, to enable a new integration and rationalization of knowledge: Integral Biomathics. The major implications of this new paradigm for reinventing and re-engineering mathematics and computation address the life sciences and medicine. They encompass meanwhile also the foundations of creativity and cognitive processes in the sciences and the arts, as well as the phenomenology of consciousness in general.

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Finding an information concept suited for a universal theory of information

Cited by 20 publications

References 19 publications

Cybersemiotic Systemic and Semiotical Based Transdisciplinarity

Cybersemiotic Systemic and Semiotical Based Transdisciplinarity

Truth Analysis of Definition of Information

Integral Biomathics reloaded: 2015

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