Aspects of Urban Entanglements Information & Associativity as  v1.14,  29.11.2010 Klaus Wassermann [email_address] Associa...
Kandinsky its gonna be abstract.  (partially) ... fortunately nothing (brand) new.
Nothing New...  20 Years of  W** words Densification and its consequences strong emergence vs. controllability functionali...
The Manhattan Syndrome an   urban -  material -proto -inter -net   in   steel   &   glass the urban & the web share „essen...
The basic Thesis Description City Life Forms a variety of rather new  abstract entity   Web The Urban more or less Web The...
Part 1: Information Why How gap between practice and theory weak theory influences practice to speak about it?  to conceiv...
Roots  (of information as a concept) Shannon, Weaver  (1948) etymology  (classic) Wiener  (1961) „ to inform a person, to ...
Heterogeneity of the Concept Warren Weaver, 1948 <ul><li>technical (Shannon's theory)  </li></ul><ul><li>semantic (meaning...
What is info  What  is  information? How to conceive of it ? „  “
Hint from Everyday Language... virtuality information as  ... interpreted data  ... a set of symbols which organize potent...
Information completely based on interpretation („subjective“) information is nothing which could „exist“ ...is information...
Information, an extended View  Dimensions of Information  Form  Effectiveness  Extension  bytes – words – images – music –...
Information – a 3-“dimensional“ Category reference for  translations , no quarrels about ontologies phenomenology of infor...
Additionally: A Dualistic Embedding  I- information D- causality S- causality E- information measurement observation singl...
Part 2:  Networks & Associativity
map logistics   in   the   (infinite)   plain(s)   ideologistics
internet hubs, scale-free   hierarchical fractal deterministic growth by causality
random density rhizomatic growth by   informational  supermerge redundant recurrent probabilistic
Logistic  Networks Logistic Networks  are the great Optimizers  of  identified  Relations
Associative  Networks are the great Inducers and Inventors  of  potential   Relations    yet to be constructed Associative...
SOM self-organizing map (SOM)   mapping of n-dimensional descriptions  onto a 2-dimensional map
Urban Associativity traffic people buildings simulations of particular networks  we „find“ associativity  in  cities infor...
Information  Rob van Kranenburg - A critique of ambient technology (2008) How will the next Wave of Densification look lik...
The limiting borders of my language are   the limiting borders of my world. Wittgenstein   For the world of information we...
Merci! Fin  et
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Associativity and other Wurban Things

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  • Pietro Maria Bardi’s rationalist polemics from the late 1930s: Engineers are the direct and immediate agents of human progress to a greater extent that any other social category. So I am glad that I am.... well, a part-time engineer else: Lyotard: modernism tried to conquer space, postmodernism is trying to conquer time
  • Dretske&apos;s (1981, p. 63-64) theory of semantic information is based on the distinction between information and meaning. [For Dretske,] Information does not require an interpretive process, although it is a necessary condition for acquiring knowledge das ist natürlich Quatsch. Ein und dieselbe Situation kann ich verschieden interpretieren und verschiedene Information daraus gewinnen, verschiedene Personen können annähernd (je nach fixierung) die gleiche info daraus ziehen, aber es gilt auch, dass ich Info daraus ziehen kann ohne dass ich mein “Wissen” “vergrössere”. nämlich genau dann, wenn mir der PLAN des gegenüber verborgen bleibt. Auch hier schlägt allzuoft der physikalistische Reduktionismus wieder zu. Dretske: Computers have, at least so far, no capability of using information. It means nothing to them. They can only manipulate symbols (Dretske, 1986). -&gt; What does “using” here mean??? -&gt;&gt; QQQ !!! about behavior and communication: Brent Ruben 1983 -&gt; 1993, 3 books relationship between information and behavior is a fundamental one This is the anthropologists&apos; dilemma: In Schopenhauer&apos;s words, &amp;quot;What Peter tells me about Paul tells me more about Peter than it does about Paul.&amp;quot;
  • The form would tell us whether information is given in bits (like in bytes or language) or more as a whole (like an image) from which we have to extract parts, the effectiveness tells us about its reliability or certainty, Syntactic completeness simply describes the fact whether there are recognizable gaps, say white spots, cut holes, etc. or not and to which extent. the extension is about the strictness of its encoding. Strictness is related to the resolution of the encoding process ------------- auch das Capurro trilemma löst sich auf in ein scheinproblem # The same reference in all contexts, such that qualitative changes are not grasped. -&gt; univok # Similar aspects between the references. In this case there a question arises about the primary or basic reference to which analogical concepts refer. analog # Finally, qualitatively distinct references may exist. In this case the concepts of information are equivocal. äquivok
  • the many concepts of information correspond to the disciplinary perspectives on causality, which is different for physics, biology, medicine, sociology, literature, politics, etc. no „origin“ = no neutral point note, that the „borders“ of the 3-dimensional dependency diagram are not „borders“. Actually they do not exist in a practical way, they are singularities, much like a pole in functional analysis in mathematics. It is not possible to reach them They also do not have a structure, and they do not need one!, because the the structure is implicitly given by the metric per base point (the „corners“) The dimensions thus have no fixed angle between them, and the larger the distance of a 3d point is to one of its base points, the more the metric gets compressed, since we are in a hyperbolic spce (but hyperbolic space is not a necessity, we just use it here as a condition to ensure positive values. The corners are somewhat idealistic projections, hence it is reasonable to conceive of the „fields“ as platonic solids. If we approach infinite number of dimensions, we approach also a sphere. There is however hardly a „real“ system which needs an infinite number of dimensions. More than 30-50 dimensions (or even 100) would render the dependencies from dimensions indistinguishable, hence appearing as random, and at the same time, always appearing as nearly orthogonal to each other. ??? The problem of trust It quite evident that in constructing or arranging information Storing means (1) to relax the dimension of the extension as far as possible, and (2) to fix the the dimension of effectiveness to a certain value. From that it follows directly, that storing the information can be achieved in different ways, serving different levels of effectiveness. if we stick to a binary code, i.e. the most prominent form, we loose any possibility to evalute both extension (context) and effectiveness (reliability) If we want to design a 100% reliable information, we have to use an infinite number of different forms and different encodiings. That is, the value of redundancy in information becomes immediately and clearly visible. We could also define an operationalization for that complete measure of redundancy, ( inversely: we can use existent measures of redundancy to ???) From this complementary deficiencies (and the possible isolines around the basepoints) directly follows, that a particular message system should always allow to provide the same message (intention) in different informational forms. Only then we can develop „trust“ into the content of the message, the sender and our capability to decode and interpret. Thus, human / animal behavior uses always different channels to encode the same message. Thus we can distinguish at least two different kinds of redundance: intrinsical and extrinsical redundance (with respect to the message), i.e. either repetition of the items (which does NOT create trust) OR telling the same story using a different channel However, this game opens a completely new game: gaming, jokes and humor Putnams naturalized Semantics ???
  • I-information = invoked information, E-information = evoked information, S-causality = causality accessed through sampling, D‑causality = causality constructed by decoherence.
  • Palma nova, Karlsruhe, Nova Huta, München
  • William Mitchell attack on language: intelligent workplaces.... just reconfigurable, thus to be used by several people ....
  • Associativity and other Wurban Things

    1. 1. Aspects of Urban Entanglements Information & Associativity as v1.14, 29.11.2010 Klaus Wassermann [email_address] Associativity and other Wurban Things for powerpoint only! Please switch to presentation mode!
    2. 2. Kandinsky its gonna be abstract. (partially) ... fortunately nothing (brand) new.
    3. 3. Nothing New... 20 Years of W** words Densification and its consequences strong emergence vs. controllability functionality vs. quality structure vs. infrastructure What exactly is the novel aspect? web of things web of people WOP WOT web of documents WOD web of money WOM web of webs WOW mediality ... the Double You?
    4. 4. The Manhattan Syndrome an urban - material -proto -inter -net in steel & glass the urban & the web share „essential“ properties... associativity inherent heterotopia information as driving entity high density mediagenicity reasoning in the immaterial domain
    5. 5. The basic Thesis Description City Life Forms a variety of rather new abstract entity Web The Urban more or less Web The Urban The Wurban new modes of
    6. 6. Part 1: Information Why How gap between practice and theory weak theory influences practice to speak about it? to conceive it? „ mathematical information“ became a dogma pure syntactic approach
    7. 7. Roots (of information as a concept) Shannon, Weaver (1948) etymology (classic) Wiener (1961) „ to inform a person, to educate her (giving a form)“ „ Information is information, not matter or energy.“ measure for uncertainty in the context of transmitting a fixed and fully known alphabet Information H =  p log p _
    8. 8. Heterogeneity of the Concept Warren Weaver, 1948 <ul><li>technical (Shannon's theory) </li></ul><ul><li>semantic (meaning and truth) </li></ul><ul><li>“ influential” (impact and effectiveness on human behaviour) </li></ul>tripartite analysis of information these aspects could not be separated from each other W.Weaver also thought that
    9. 9. What is info What is information? How to conceive of it ? „ “
    10. 10. Hint from Everyday Language... virtuality information as ... interpreted data ... a set of symbols which organize potential action semantics How to formalize that ?
    11. 11. Information completely based on interpretation („subjective“) information is nothing which could „exist“ ...is information out there ? ...it can be found & retrieved ? : a Candidate for Re-Design
    12. 12. Information, an extended View Dimensions of Information Form Effectiveness Extension bytes – words – images – music – behavior – narration reliability, certainty, relative completeness strictness of encoding/decoding requires context, thus: reference to convention, interpretation incommensurability of aspects technical, semantic, influential formal, virtual, immaterial, but storable? 01001001 00101001 11101101 00010010 010 001 0010 1 111 101 00012 10 resolution sampling rate: 46kHz or 128kHz ... ...this can even be formalized ! yet not in an „objective“ way
    13. 13. Information – a 3-“dimensional“ Category reference for translations , no quarrels about ontologies phenomenology of information becomes constructible it contains *any* concept of information The unified perspective „ accidential“ reductionism allows to avoid extension effectiveness form context, encoding 0010101 completeness
    14. 14. Additionally: A Dualistic Embedding I- information D- causality S- causality E- information measurement observation single repeated interaction behavior ...a tricky Language Game... reversibility ir-reversibility modeling decoherence story telling causa finalis belief structures
    15. 15. Part 2: Networks & Associativity
    16. 16. map logistics in the (infinite) plain(s) ideologistics
    17. 17. internet hubs, scale-free hierarchical fractal deterministic growth by causality
    18. 18. random density rhizomatic growth by informational supermerge redundant recurrent probabilistic
    19. 19. Logistic Networks Logistic Networks are the great Optimizers of identified Relations
    20. 20. Associative Networks are the great Inducers and Inventors of potential Relations yet to be constructed Associative Networks Randolations Rando mized Re lation
    21. 21. SOM self-organizing map (SOM) mapping of n-dimensional descriptions onto a 2-dimensional map
    22. 22. Urban Associativity traffic people buildings simulations of particular networks we „find“ associativity in cities informational behavior = the WEB : A Wurban Thing associativity creates patterns, information by feeding ‚ autonomously‘ on the dissipative streams of the entangled bodies beneath ants rules
    23. 23. Information Rob van Kranenburg - A critique of ambient technology (2008) How will the next Wave of Densification look like ? ?<open, decentralized, „democratic,“ artful, funny ...>? ... how to deal with the current one? ?<as a general practice of abstract synaesthecism>? Information is a deep concept. virtual, 3-dim, basic for associativity Wittgenstein: Performance precedes applicable Logics . Putnam: Practice is primary . We have to care about the Form of Life, about possible performances, and the potential of subtle & situational responses ... not sticking to logistics & rigorous identification ! WURB
    24. 24. The limiting borders of my language are the limiting borders of my world. Wittgenstein For the world of information we (probably) have now an extension.
    25. 25. Merci! Fin et

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