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Philosophy of information

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Information science
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Thephilosophy of information (PI) is a branch ofphilosophy that studies topics relevant toinformation processing, representational system and consciousness,cognitive science,computer science,information science andinformation technology.

It includes:

  1. the critical investigation of the conceptual nature and basic principles ofinformation, including its dynamics, utilisation and sciences
  2. the elaboration and application ofinformation-theoretic and computational methodologies to philosophical problems.[1]

History

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The philosophy of information (PI) has evolved from thephilosophy of artificial intelligence,logic of information,cybernetics,social theory,ethics and the study of language and information.

Logic of information

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Thelogic of information, also known as thelogical theory of information, considers the information content of logicalsigns and expressions along the lines initially developed byCharles Sanders Peirce.

Study of language and information

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Later contributions to the field were made byFred Dretske,Jon Barwise,Brian Cantwell Smith, and others.

TheCenter for the Study of Language and Information (CSLI) was founded at Stanford University in 1983 by philosophers, computer scientists, linguists, and psychologists, under the direction ofJohn Perry andJon Barwise.

P.I.

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More recently this field has become known as the philosophy of information. The expression was coined in the 1990s byLuciano Floridi, who has published prolifically in this area with the intention of elaborating a unified and coherent, conceptual frame for the whole subject.[2]

Definitions of "information"

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The conceptinformation has been defined by several theorists.[3]

Charles S. Peirce's theory of information was embedded in his wider theory of symbolic communication he called thesemiotic, now a major part ofsemiotics. For Peirce, information integrates the aspects ofsigns andexpressions separately covered by the concepts ofdenotation andextension, on the one hand, and byconnotation andcomprehension on the other.

Donald M. MacKay says that information is a distinction that makes a difference.[4]

According to Luciano Floridi,[citation needed] four kinds of mutually compatible phenomena are commonly referred to as "information":

  • Information about something (e.g. a train timetable)
  • Information as something (e.g. DNA, or fingerprints)
  • Information for something (e.g. algorithms or instructions)
  • Information in something (e.g. a pattern or a constraint).

Philosophical directions

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Computing and philosophy

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Recent creative advances and efforts incomputing, such assemantic web,ontology engineering,knowledge engineering, and modernartificial intelligence providephilosophy with fertile ideas, new and evolving subject matters, methodologies, and models for philosophical inquiry. Whilecomputer science brings new opportunities and challenges to traditional philosophical studies, and changes the ways philosophers understand foundational concepts in philosophy, further major progress incomputer science would only be feasible when philosophy provides sound foundations for areas such as bioinformatics, software engineering, knowledge engineering, and ontologies.

Classical topics in philosophy, namely,mind,consciousness,experience,reasoning,knowledge,truth,morality andcreativity are rapidly becoming common concerns and foci of investigation incomputer science, e.g., in areas such as agent computing,software agents, and intelligent mobile agent technologies.[citation needed]

According to Luciano Floridi "[5] one can think of several ways for applying computational methods towards philosophical matters:

  1. Conceptual experiments in silico: As an innovative extension of an ancient tradition ofthought experiment, a trend has begun in philosophy to apply computationalmodeling schemes to questions inlogic,epistemology,philosophy of science,philosophy of biology,philosophy of mind, and so on.
  2. Pancomputationalism: On this view, computational and informational concepts are considered to be so powerful that given the right level ofabstraction, anything in the world could be modeled and represented as a computational system, and any process could be simulated computationally. Then, however, pancomputationalists have the hard task of providing credible answers to the following two questions:
    1. how can one avoid blurring all differences among systems?
    2. what would it mean for the system under investigation not to be aninformational system (or a computational system, if computation is the same as information processing)?

See also

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Notes

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  1. ^Luciano Floridi,"What is the Philosophy of Information?"Archived 2012-03-16 at theWayback Machine,Metaphilosophy, 2002, (33), 1/2.
  2. ^Pieter, Adriaans."Information".Stanford Encyclopedia of Philosophy. Retrieved31 October 2023.
  3. ^Zalta, Edward N. (ed.)."Semantic Conceptions of Information".Stanford Encyclopedia of Philosophy.
  4. ^The Philosophy of Information.Luciano Floridi. Chapter 4. Oxford University Press, USA (March 8, 2011) ASIN: 0199232385[1]
  5. ^Luciano Floridi,Open Problems in the Philosophy of InformationArchived 2015-09-24 at theWayback MachineMetaphilosophy 35.4, 554-582. Revised version ofThe Herbert A. Simon Lecture on Computing and Philosophy given at Carnegie Mellon University in 2001, withRealVideo

Further reading

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