WHAT INFORMATION TO MEASURE HOW TO MEASURE? Paolo Rocchi IBM - via Shangai 53, 00144 Roma, Italy LUISS University - via Alberoni 7, 00198 Roma, Italy procchi@luiss.it – LUISS University 1 /24 What is Information? Timeline of Information Theories (partial) − − − − − − − − − − − − − − − − − − − − − − − − − – The statistical theory of information by Fisher (1922); The transmission theory of information by Hartley (1928); The communication theory of information by Shannon (1949); The semantic theory of information by Carnap and Bar Hillel (1953); The utility theory of information by Karkevich (1960); The cybernetic theory of information by Wiener (1961); The algorithmic theory of information by Solomonoff, Kolmogorov (1965), and Chaitin (1977); The descriptive information theory by MacKay (1969); The semiotic/cybernetic theory of information by Nauta jr. (1970); The economic theory of information by Marschak (1971); The pragmatic theory of information by von Weizsäcker (1974); The qualitative theory of information by Mazur (1974); The living system information theory by Miller (1978); The autopoietic theory on information by Maturana and Varela (1980); The hierarchical information theory by Brookes (1980); The logical theory of information by Tarski (1983); The common-sense information theory by Derr (1985); The dynamic theory of information by Chernavsky (1990); The systemic theory of information by Luhmann (1990); The general information theory by Klir (1991); The physical theory of information by Levitin (1992); The organizational information theory by Stonier (1994); The independent theory of information by Losee (1997); The social theory of information by Goguen (1997); The purpose-oriented theory of information by Janich (1998) ……. LUISS University 2 /24 What is Information? Theorists have come to a standstill By contrast Engineers, Humanists, Technicians, Physicists, Musicians, Physicians, Zoologists, Biologists, Jurists and Many others usually assume: ● ● – The sign has a physical base That base stands for something LUISS University → Signifier → Signified 3 /24 What is Information? “... by using the shortest channel symbol, a dot, for the most common English letter E; while the infrequent letters, Q, X, Z are represented by longer sequences of dots and dashes.” (*) (*) C.E. Shannon (1948). A Mathematical Theory of Communication. The Bell System Technical J., Vol. 27, p.5. – LUISS University 4 /24 What is Information? We cannot say what is information We can say that a piece of information consists of two elements: The Signifier The Signified And thus we can inaugurate a new strategy of research – LUISS University 5 /24 How to Measure It? We cannot say how to measure information We can measure the components of a piece of information How? In Search of the Mathematical Definition of the Signifier – LUISS University 6 /24 A Mathematical Definition for the Signifier First Remark A compound signifier consists of two or more elementary signifiers Example: A This letter is a compound signifier that includes the following elementary signifiers: Color = red, Pich = 24, Font = Arial, Style = Italics, – LUISS University 7 /24 A Mathematical Definition for the Signifier First Remark An elementary signifier can be detected by means of a sensor, a perceptor, a probe, an instrument etc. Here called ‘observer’ Examples: 4 sensors from a car (top); 3 biological perceptors (bottom) – LUISS University 8 /24 A Mathematical Definition for the Signifier First Remark The whole perception process encompasses several components of living beings Knowledge Culture Personality Mind’s Upper Level Perceptor Mind’s Lower Levels Nerves Sense Organ Perceptors – LUISS University 9 /24 A Mathematical Definition for the Signifier Second Remark Various authors share the idea that sharpness is the essential property of an item of information. “The elementary unit of information” is “a difference which makes a difference” (*) (*) Bateson G. (2000) - Steps to an Ecology of Mind - University of Chicago Press. – LUISS University 10 /24 A Mathematical Definition for the Signifier Second Remark As a matter of facts, lacking sharpness a sign disappears Oxford High contrast Low contrast No contrast – LUISS University 11 /24 A Mathematical Definition for the Signifier Any real object or event E is an elementary signifier if E differs from an adjacent entity E* with respect to the detector or observer R (*) E NOT=R E* When the inequality is false, there is no information (see the bottom case in slide #11) (*) P. Rocchi – Logic of Analog and Digital Machines – Nova Science, N.Y., (2013) revised edition. http://www.edscuola.it/archivio/software/bit/course/book.html – LUISS University 12 /24 A Mathematical Definition for the Signifier In principle a mathematical model should: Be useful to scientists, Enhance our knowledge in the field. 1. 2. The inequality makes a contribution to: 1. → Measure Information: Calculation of signals, redundancy, fuzziness etc. (Full discussion omitted here) 2. → Understand Information: We shall address five philosphical issues here. – LUISS University 13 /24 1. – How to Measure Digital Information E NOT=R E* Electronic engineers adopt two electrical values as signifiers: E = V1 ; E* = V2 The inequality can rewritten in this way: V1 ≠ V2 And thus s = V1 − V2 ≠ 0 – LUISS University 14 /24 The inequality demonstrates that discrete signals are clear even in the worst situations because they are separed by a certain distance s – LUISS University 15 /24 2. - Understand Information #1 The problem of analog vs digital: Analog signals are close to Nature and more appropriate. Digital signals are unreal and less authentic. (*) The inequality demonstrates that digital signals are perfect, whereas the analog are fuzzy. The inequality disproves the above common philosphical opinion. (Digital cameras provide pictures of higher quality than ancient analog pictures) Fig – An analog signal (*) Watzlawick P., Beavin J. H., Jackson D. D. (1967) - Some Tentative Axioms of Communication - In Pragmatics of Human Communication: A Study of Interactional Patterns, Pathologies, and Paradoxes, W.W. Norton & Company, pp. 48-71. – LUISS University 16 /24 2. - Understand Information #2 The problem of perception fallacy: Is perception fallacious? Is perception innate or learned? Is perception objective or subjective? Perception is a straightforward mechanical action without any understanding or intention in the present frame, by contrast the perception fallacy conundrum is an allincluding argument (see slide #9) The problem of perception fallacy is an ill-posed question Thus it can but have various solutions (We mention: the disjunctive theory of perception, the sense-datum theory, the intentionalist theory, and the adverbial theory) – LUISS University 17 /24 2. - Understand Information #3 Paradoxical problem: The Allies sealed several documents at the end of the Second World War. Information disappeared for decades. At the end of the Cold War those secret documents became available and information came into existence once again. Those military papers died for four decades and then were resurrected. Information can cease to exist and can come ‘back to life’ anew: this seems to disprove the physical nature of information Answer: The mathematical definition of signifier includes three elements. The object E is a sign provided that R operates. The status of signifier depends on R and is not absolute, in turn information is a relativistic notion which justifies the large amount of theories – LUISS University 18 /24 2. - Understand Information #4 Paradoxical problem: During a conversation, people sometimes communicate using a silent pause. The blank space between two lines in a text means to separate the subject contents notably it expresses a distinctive message. Silence and blank can be used to convey information. Immaterial signs seem to rebut the physical origin of information. Answer: The inequality can be inverted E* NOT=R E This entails that even E* is a signifier and can convey information. We take E* null E* = 0 – LUISS University 19 /24 We obtain that the null element can inform people as long as this special signifier contrasts with E 0 NOT=R E The symbol zero demonstrates on the theoretical plane that ‘nothing’ is a potential vehicle of information This conclusion does not imply that information has an hethereal origin A bodyless sign does not deny the physical origin of information A silence pause during a conversation is real A blank line on the paper can be touched by the fingers – LUISS University 20 /24 2. - Understand Information #5 Paradoxical problem: Wiener writes; ‘If people always get the same signal, this becomes inessential and nothing may be transmitted with the same result.’(*) and discards the physicism of information. Answer: De Saussure holds that there is no obliged relation between the signifier and the signified. The object E stands for X and one can substitute E with a smaller or more manegeable signifier. When one trasmits the same signal for a long time, obviously he selects the silence in that the silence is the cheapest signifier to represent the intended message X. Sometiems people select a bodyless sign to convey information Wiener’s conclusion is false (*) Wiener N. (1961) - Cybernetics: Or the Control and Communication in the Animal and the Machine - 2nd edition, MIT Press and Wiley. – LUISS University 21 /24 Concluding Comments There is no consensus about the notion of information. Instead there is general accord in the use of the semiotic notions called signifier and signified. Unfortunately those notions are used by intuition so far. We suggest a pragmatic strategy of research to bridge the gap placed amongst semiotics and the various disciplines. We suggest a formal definition for the signifier and using this equation one can provide insights in favor of philosophers, and formal equations for engineering. – LUISS University 22 /24 The mathematical definition of the signifier provides formal answers to some vexed questions about information: #1 Digital signals are perfect instead the analog are fuzzy #2 The perception fallacy conundrum is an ill-posed argument and therefore has many solutions #3 Information is a relativistic concept #4 ‘Nothing’ is a potential vehicle of information which does not disprove the physicism of information. #5 People can select a bodyless sign to convey information – LUISS University 23 /24 – LUISS University 24 /24