Emergent information. Towards a unified information theory

Fleissner, Peter; Hofkirchner, Wolfgang

doi:10.1016/0303-2647(95)01597-3

Cited by 27 publications

(29 citation statements)

References 2 publications

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“…It is assumed that this evolution is driven and controlled by an internal information exchange. Thus the evolving systems correspond to a hierarchy of synergies linked to information processing, as discussed by Fleissner and Hofkirchner [28]. How this exchange of internal…”

Section: = ?mentioning

confidence: 95%

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Emergence and Dissolvence in the Self-organisation of Complex Systems

Testa

Kier

2000

Entropy

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Abstract:The formation of complex systems is accompanied by the emergence of properties that are non-existent in the components. But what of the properties and behaviour of such components caught up in the formation of a system of a higher level of complexity? In this assay, we use a large variety of examples, from molecules to organisms and beyond, to show that systems merging into a complex system of higher order experience constraints with a partial loss of choice, options and independence. In other words, emergence in a complex system often implies reduction in the number of probable states of its components, a phenomenon we term dissolvence. This is seen in atoms when they merge to form molecules, in biomolecules when they form macromolecules such as proteins, and in macromolecules when they form aggregates such as molecular machines or membranes. At higher biological levels, dissolvence occurs for example in components of cells (e.g. organelles), tissues (cells), organs (tissues), organisms (organs) and societies (individuals).Far from being a destruction, dissolvence is understood here as a creative process in which information is generated to fuel the process of self-organisation of complex systems, allowing them to appear and evolve to higher states of organisation and emergence. Questions are raised about the relationship of dissolvence and adaptability; the interrelation with top-down

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Section: = ?mentioning

confidence: 95%

“…Information is generated when causes in a system are exceeded by effects [28]. This happens when there are changes in the structure or state of a system, as resulting from dynamic interactions.…”

Section: Dissolvence Is Part Of the Creative Process Of Self-organisamentioning

confidence: 99%

Emergence and Dissolvence in the Self-organisation of Complex Systems

Testa

Kier

2000

Entropy

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“…Fleissner and Hofkirchner further bring forward the concept of Unified Information Theory [8], which, based on an analysis of the evolutionary process of information from syntactical to semantic and to pragmatic states, describes information as the product of changes in the system's structure, state or output. Unified Information Theory tries to use a consistent concept to unify all of the different connotations of information, but it is similar to Zhong's Comprehensive Information Theory in terms of basic analysis while far less profound and systematic than the latter.…”

Section: About the Essence And Connotation Of Informationmentioning

confidence: 99%

Objective information theory: A Sextuple model and 9 kinds of metrics

Shen

et al. 2014

2014 Science and Information Conference

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In the contemporary era, the importance of information is undisputed, but there has never been a common understanding of information, nor a unanimous conclusion to the researches on information metrics. Based on the previous studies, this paper analyzes the important achievements in the researches of the properties and metrics of information as well as their main insufficiencies, and discusses the essence and connotation, the mathematical expressions and other basic problems related to information. On the basis of the understanding of the objectivity of information, it proposes the definitions and a Sextuple model of objective information; discusses the basic properties of information, and brings forward the definitions and mathematical expressions of nine kinds of metrics of information, i.e., extensity, detailedness, sustainability, richness, containability, delay, distribution, validity and matchability. Through these, this paper establishes a basic theory frame of Objective Information Theory to support the analysis and research on information and information system systematically and comprehensively.

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“…It is not possible to separate any informational aspect from causal relations of matter and energy if the effects of a system are completely derivable from the outside causes. Information is produced by a system when effects become system dependent that means when the system is self-organizing at any level [42]. And there has been several evidences claiming living system as an information processor [5].…”

Section: Life Consciousness Information and Living Systemmentioning

confidence: 99%

Evolution of Cancer: A Quantum Mechanical Approach

Rahman¹

2014

EJB

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Abstract:Cancer, the 'Emperor of All Malady' has already occupied its position in the list of most fascinating but elusive enigmas in human history like life and consciousness. Existence of phenocopy, C-value paradox and many other electrifying findings has questioned the linear central dogma of molecular biology. This points a paradigm shift towards a stochastic realization of biology. And here, quantum mechanics comes forward with all its experiences in studying the nature's inherent superposed hierarchy of organizational complexity. Life may be said as information processor that has got the ability to self-organize, driven by the action of consciousness and certainly includes the surrounding environment to form the totality of reality. Any type of noise either subjective or objective causes the fluctuation of this coherent quantum state and can be reduced to a macroscopic disorder that perturbs the biomolecular behavior. These non-local disturbances might be manifested as cancer in a non-deterministic pattern.

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Emergent information. Towards a unified information theory

Cited by 27 publications

References 2 publications

Emergence and Dissolvence in the Self-organisation of Complex Systems

Emergence and Dissolvence in the Self-organisation of Complex Systems

Objective information theory: A Sextuple model and 9 kinds of metrics

Evolution of Cancer: A Quantum Mechanical Approach

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