On Praxiological Information

Antonio Florio

Authors

Antonio Florio

Keywords:

generalization, praxiological-information, system, connectivity, compatibility, relevant information, effective information, synthesis

Abstract

In this paper is outlined an action-oriented philosophy of information, namely praxiological information. The praxiological kind of knowledge and some of its species (behavior, communication, computation, information, attention, learning,) are introduced by the method of generalization and classification. By exploiting the metaphor of the spectrum of colors, the architectures of behavior, communication and computation are shown as if they were primary colors: red, yellow and blue. The architecture of information (green) is introduced by joining together the architecture of computation (blue) and communication (yellow). The principle of information, that is the Data Operational Principle, is stated; the informational bearers, that is messages, are explained; the informational criteria, that is connectivity and compatibility, are outlined; The architecture of attention (orange) is introduced by joining together the architecture of behavior (red) and that of communication (yellow). The criterion of attention, that is relevance, is pointed out.

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How to Cite

On Praxiological Information. (2013). Global Journal of Human-Social Science, 13(26), 31-44. https://socialscienceresearch.org/index.php/GJHSS/article/view/

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References

S. Bessett (1994) A Brief History of Servomechanisms. 14, 75-79.

Andreas Blass, Yuri Gurevich (2003) ALGORITHMS: A QUEST FOR ABSOLUTE DEFINITIONS. 81, 283-311.

R. Capurro (2009) Past, present and future of the concept of information. 7(2), 125-141.

D. Chalmers, J (1995) Facing Up to the Problem of Consciousness. 2(3), 200-219.

N. Chomsky (1956) Three Models for the description of Languages. IRE Trans. 2(3), 113-124. https://doi.org/10.1109/tit.1956.1056813

F. Conway, J. Siegelman (2005) Dark Hero of the Information Age: In search of Norbert Wiener the father of Cybernetics.

J. Copeland, B. (1996) What is computation?. 108, 335-339.

J. Copeland, B. (2003) Computation. The Blackwell Guide to the Philosophy of Computing and Information, edited by L. 1, 3-16.

Dan Zahavi (2004) Phenomenology and the project of naturalization. 3(4), 331-347. https://doi.org/10.1023/b:phen.0000048935.94012.4e

Charles Darwin (2006) From So Simple a Beginning.

Hubert Dreyfus (2002) Intelligence without representation - Merleau-Ponty's critique of mental representation The relevance of phenomenology to scientific explanation. 1(4), 367-383. https://doi.org/10.1023/a:1021351606209

F. Dretske, I. (1988) Explaining Behavior.

L. Floridi (2008) In defence of the veridical nature of semantic information. 3(1), 31-41.

Luciano Floridi (2008) Understanding Epistemic Relevance. 69(1), 69-92. https://doi.org/10.1007/s10670-007-9087-5

A. Florio (2009) The Notion of 'Being Informative' & the Praxiological-Information Perspective on Language. 7(2), 214-227.

J. Frank (1982) Epiphenomenal Qualia. 32, 127-136.

E. Gagliasso (1998) Metafore e realta': il caso del concetto di informazione.

K. Godel (1990) Collected Works. II.

R. Hofstadter (1979) Godel, Escher, Bach: An Eternal Golden Braid.

A. Hodges (1983) Alan Turing: the enigma.

Thomas Huxley (1874) On the hypothesis that animals are automata, and its history. 16, 555-580.

Robert Kirk (1986) Mental machinery and G�del. 66(3), 437-452. https://doi.org/10.1007/bf00414061

Mac Lane, S. (1986) Mathematics Form and Function.

P. Marijuan (2009) The Advancement of Information Science. Is a New Way of Thinking Necessary?. 7(2), 369-375.

J. Monod, J. Francois (1961) General Conclusions: Teleonomic Mechanisms in Cellular Metabolism, Growth, and Differentiation. 26(0), 389-401. https://doi.org/10.1101/sqb.1961.026.01.048

Doede Nauta (1972) The Meaning of Information. https://doi.org/10.1515/9783110810516

Thomas Nagel (1974) What Is It Like to Be a Bat?. 83(4), 435. https://doi.org/10.2307/2183914

R. Nelson (1987) Church's Thesis and Cognitive Science. 28(4). https://doi.org/10.1305/ndjfl/1093637649

A. Noe, J. O‟Regan, K (2002) On the brain-basis of visual consciousness: A sensorimotor account. In Noe, Alva Thompson. 567-598.

Charles Peirce, S. (1905) Charles S. Peirce: selected writings. 15, 161-181.

J. Pierce (1980) An Introduction to Information Theory: Symbols, Signals & Noise.

Arturo Rosenblueth, Norbert Wiener, Julian Bigelow (1943) Behavior, Purpose and Teleology. 10(1), 18-24. https://doi.org/10.1086/286788

Tefko Saracevic (1975) RELEVANCE: A review of and a framework for the thinking on the notion in information science. 26(6), 321-343. https://doi.org/10.1002/asi.4630260604

Tefko Saracevic (2007) Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance. 58(13). https://doi.org/10.1002/asi.20682

Tefko Saracevic (2007) Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance. 58(13), 2126-2144. https://doi.org/10.1002/asi.20681

C. Shannon, E. (1948) The Mathematical Theory of Communication. 27(4), 623-656. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x

A. Turing, M. (1936) On Computable Numbers, with an Application to the Entscheidungsproblem. 42, 230-265.

L. von Bertalanffy (1950) AN OUTLINE OF GENERAL SYSTEM THEORY. 1, 139-164.

J. von Neumann (1958) John von Neumann, The Computer and the Brain, New Haven: Yale University Press, pp.

N. Wiener (1948) Cybernetics.

N. Wiener (1954) The Human Use of Human Beings: Cybernetics and Society.

Norbert Wiener (1961) Cybernetics, or control and communication in the animal and the machine (2nd ed.). https://doi.org/10.1037/13140-000

N. Wiener (1964) God & Golem, Inc.