Foundations of Information Science & Human Level AI
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A PRIORI MODELING OF INFORMATION Foundations of Information Science (FIS) Online Session: 16 June - 15 July 2016 (http://listas.unizar.es/pipermail/fis/) Marcus Abundis 1 This session covers the a priori modeling of information, targeting a meaningful void named by Shannon and Weaver (1949). It thus posits a universal “theory of meaning” and “theory of information” (UTI). A priori views can help as they often convey organizing principles. Also, a winning model should offer gains likely to surpass gains seen from Shannon’s (1948) prior work. For example, firm notions of meaning and universality are key to founding a human level AI and to addressing hurdles in quantum mechanics/computing and in material science (Aspuru-Guzik, 2015). An a priori view starts with what comes before information, using analytic philosophy to frame initial concepts but ends in empiric phenomenology. The session thus entails diverse levels of analysis and can stir confusion. For example, disorder at one level necessarily implies a type of order, at a different level. Different levels require a use of type theory, re Bateson’s (1979) “differences themselves must be differentiated,” to convey one system of thought. To aid this exploration a cursory model is thus offered. With the foregoing cautionary notes in mind, I invite you to join this FIS session and together we will see what unfolds (3 pages; 1,100 words). MODEL DEVELOPMENT In brief, the model synthesizes Shannon entropy, Bateson’s different differences, and Darwinian selection (S-B-D) to derive “meaningful information” in trans-disciplinary roles. The video link below details a posited model as follows: Basic issues and questions are framed (2:30 minutes). Known meaningful metadata are detailed (2:30 minutes). Next, metadata’s role is deconstructed in remaining minutes to name universal a priori facets. Lastly, the model is re-constituted “from the ground up” to present a fully synthesized S-B-D a priori view (23 minutes total). The model’s central logic follows these steps: 1) Universal meaning is named as: a thing exists (order), a thing does not exist (disorder), and a becoming-ness (diverse entropic events) that joins the two states. This triune law is labeled Generic Entropy (Δz in video). Three things are achieved here: a) Practical meaning is named for an all-inclusive cosmos; b) An open system framing is given to that Cosmic All; c) a stage is set for simple evolutionary bifurcations. This necessarily base view of universal meaning provides a foundation for further UTI analysis. 2) Universal meaning has a dualist-triune form. Each facet (existence, non-existence, and becomingness) helps define the other two, in a Bateson-like (1979) necessary unity. Three key facets (triune), in dual logical roles (existential and dynamic), thus name an initial organizing principle or topology. This topology does not mean that all information has a dualist-triune form, but that all information arises from this structural fundament. Further . . . 3) Dualist logic has many faces as order & disorder, life & death, signal & noise, good & evil, coherence & decoherence, etc. Dualism thus affords nascent complexity in respective roles Organizational Behavior (GFTP), Graduate School of Business, Stanford University (March 2011). 1 December 31 2016, M. Abundis, +1-530.388.5576, +41-(0)62.844.2193, [email protected] 1
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This FIS session brief (HLAI application) covers the a priori modeling of information. It posits reductive aspects of meaning-full information and universal information – two difficult topics. An a priori view proceeds from “what comes before,” requiring analytic philosophy to name basic concepts, and ends in empiric phenomenology – two often-opposed views. It thus includes diverse layers of analysis, such as: basic parallels, proximate roles, and widely disparate or complex traits. All of this is to say that many traps exist in attempting this topic. With this cautionary note in mind, I invite you to join this session exploration and together we will see what unfolds (3 pages; 1,400 words).
Transcript of Foundations of Information Science & Human Level AI
A PRIORI MODELING OF INFORMATIONFoundations of Information Science (FIS) Online Session: 16 June - 15 July 2016
(http://listas.unizar.es/pipermail/fis/)Marcus Abundis1
This session covers the a priori modeling of information, targeting a meaningful void named by Shannon and Weaver (1949). It thus posits a universal “theory of meaning” and “theory of information” (UTI). A priori views can help as they often convey organizing principles. Also, a winning model should offer gains likely to surpass gains seen from Shannon’s (1948) prior work. For example, firm notions of meaning and universality are key to founding a human level AI and to addressing hurdles in quantum mechanics/computing and in material science (Aspuru-Guzik, 2015).
An a priori view starts with what comes before information, using analytic philosophy to frame initial concepts but ends in empiric phenomenology. The session thus entails diverse levels of analysis and can stir confusion. For example, disorder at one level necessarily implies a type of order, at a different level. Different levels require a use of type theory, re Bateson’s (1979) “differences themselves must be differentiated,” to convey one system of thought. To aid this exploration a cursory model is thus offered. With the foregoing cautionary notes in mind, I invite you to join this FIS session and together we will see what unfolds (3 pages; 1,100 words).
MODEL DEVELOPMENT In brief, the model synthesizes Shannon entropy, Bateson’s different differences, and Darwinian selection (S-B-D) to derive “meaningful information” in trans-disciplinary roles. The video link below details a posited model as follows: Basic issues and questions are framed (2:30 minutes). Known meaningful metadata are detailed (2:30 minutes). Next, metadata’s role is deconstructed in remaining minutes to name universal a priori facets. Lastly, the model is re-constituted “from the ground up” to present a fully synthesized S-B-D a priori view (23 minutes total).
The model’s central logic follows these steps: 1) Universal meaning is named as: a thing exists (order), a thing does not exist (disorder), and a
becoming-ness (diverse entropic events) that joins the two states. This triune law is labeled Generic Entropy (Δz in video). Three things are achieved here: a) Practical meaning is named for an all-inclusive cosmos; b) An open system framing is given to that Cosmic All; c) a stage is set for simple evolutionary bifurcations. This necessarily base view of universal meaning provides a foundation for further UTI analysis.
2) Universal meaning has a dualist-triune form. Each facet (existence, non-existence, and becomingness) helps define the other two, in a Bateson-like (1979) necessary unity. Three key facets (triune), in dual logical roles (existential and dynamic), thus name an initial organizing principle or topology. This topology does not mean that all information has a dualist-triune form, but that all information arises from this structural fundament. Further . . .
3) Dualist logic has many faces as order & disorder, life & death, signal & noise, good & evil, coherence & decoherence, etc. Dualism thus affords nascent complexity in respective roles
Organizational Behavior (GFTP), Graduate School of Business, Stanford University (March 2011).1
December 31 2016, M. Abundis, +1-530.388.5576, +41-(0)62.844.2193, [email protected] �1
for logic, biology, information theory, morality, quantum mechanics, etc. Also, oppositional naivety drives a Hegelian dialect of: thesis + antithesis = synthesis, for added complexity as a creative dualist-triune role, or evolving functionally synthesized levels (re bifurcations).
4) Dualist-triune logic thus births many sub-ordinate types (re type theory). Ensuing life forms also follow 2-3 logic but as Empiric Entropy (sensed niche variety, predator-prey roles, etc.). This “adaptive” entropic type marks the initial analytic parsing of Generic Entropy into “a thing” more useful/intelligible than a Cosmic All. Empiric Entropy seeks order/avoids dis-order as “survival.” In mythology, this analytic division marks a Sacred Wound (birth trauma, original sin, psycho-logical separation), also seen as Adam and Eve cast out from the Garden of Eden for eating fruit from the tree of knowledge of good and evil (the birth of culture).
5) As complexity grows, objective variety in surviving rivals drives subjective agent meaning(s) via functional refinement and “degrees of competition.” Empiric vari-ability (topographic fit-ness) also defines Nagel’s (1974) “What is it like to be a bat?” via distinct functional roles. As such, sub-sub-ordinate Value and Order Entropy are named (Δs in video) to mark further role/ sentient differentiation in agents. Added Empiric differentiation (entropy) anticipates/echoes Kauffman’s (2000) “adjacent possible” where more sentient differentiation ≈ new adaptive/entropic possibilities.
6) That added entropic parsing, as minimally differentiated functioning, sets a base from which Shannon’s Signal Entropy can then arise. Darwinism later refines each role via natural selection, or continually optimizing functions as “meaningful” survival.
As shown, this model unifies Bateson-like different differences (entropic types), Shannon Signal Entropy, and Darwinian selection (natural order) as a meaningful S-B-D informational vista. Further detail is available in the resources listed below.
RESOURCESThree resources are offered to support this FIS session: • Main Material1) A 23-minute video from the International Society for Information Studies conference (Vienna, 2015) details the basic model. Watching this video is all that is needed to join the session. It can be downloaded, paused, and replayed for closer study, and is available at: https://vimeo.com/140744119Text for the video voiceover can also be read or downloaded at:http://issuu.com/mabundis/docs/oneprob.fin
• Supplemental MaterialAs advanced material, two other items may help:2) A paper detailing three types of material informational meaning. The paper a) gives a physical account of meaningful information, and b) sets the stage for developing a detailed adaptive view of information. This paper (11 pages; 5,400 words) can be read or downloaded at: https://issuu.com/mabundis/docs/abundis.tom3) A paper detailing adaptive informational meaning (form above). Together, the two papers (2 and 3) offer a general bio-physical account of information. This paper (14 pages; 5,600 words) can be read or downloaded at:https://issuu.com/mabundis/docs/multistate
REFERENCES
December 31 2016, M. Abundis, +1-530.388.5576, +41-(0)62.844.2193, [email protected] �2
(1) Aspuru-Guzik, A. (2015). Billions and billions of molecules: Molecular materials discovery in the age of machine learning. Google TechTalks, 12 May 2015, Los Angeles, CA [online]. Available at: <https://www.youtube.com/watch?v=98wILB5sZ5w> [Accessed on 1 March 2016].
(2) Bateson, G. (1979). Mind and nature: A necessary unity. New York, NY: Dutton.
(3) Kauffman, S. A. (2000). Investigations. Oxford, UK: Oxford University Press.
(4) Nagel, T. (1974). What is it like to be a bat?, Philosophical Review, pp. 435–450 (repr. in Mortal Questions).
(5) Shannon, C. (1948). A mathematical theory of communication, Bell System Technical Journal. July & October 1948, 27, pp. 379-423 & 623-656.
(6) Shannon, C., & Weaver, W. (1949). Advances in ‘A mathematical theory of communication.’ Urbana, IL: University of Illinois Press.
December 31 2016, M. Abundis, +1-530.388.5576, +41-(0)62.844.2193, [email protected] �3
