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Laurent Dubois, rue Beaulieusart, 148, Fontaine-L'Evêque, B-6140, Tél. : (0032)(0)71 544185 [email protected] http://www.chronoplanet.com/ http://www.laurentdubois.com Fontaine-L'Evêque, gG Model or the MI-g synthesis “Much work remains to be done in the factor-analytic study of cognitive abilities. The map of abilities provided by the three-stratum theory undoubtedly has errors of commission and omission, with gaps to be filled in by further research, including the development of new types of testing and assessment and the factorial investigation of their relationship with each other and with better established types of assessment” (Carroll, 1997) Introduction In the field of researches in cognitive sciences in general and A.I. in particular, it is not unreasonable to expect interesting contributions from the attempts of understanding and measuring intelligence in experimental psychology. Two main options can be distinguished: the more academically recognized theory of a general factor of intelligence subsumed under the various kinds of tests items, and the more popular but hardly scientifically verified theory of so called Multiple intelligences. The first objective of the present work is to illustrate through a matrix the perfect compatibility of these two seemingly definitely antagonistic approaches. It will lead us, in a second time, to the drawing of a dynamical diagram susceptible of use in the A.I. framework. From IQ to AI High IQ communities and power tests In January 2001, I discovered the on-line “power tests” and “High IQ communities”. Power tests are intended to increase significantly the ceiling of the existing official and proctored intelligence scales and culture-free type IQ tests. The main characteristics of the Power tests are their high difficulty and their consequently untimed and unproctored nature. Pioneers in this domain are people like Ron Hoeflin with the “Mega test” and Paul Cooijmans with the “Test for genius”. Currently Xavier Jouve try to make his work academically recognized. I myself developed the “Power-scale” including the “916 test”. References about these works can be found at the following adress: http://www.eskimo.com/~miyaguch/hoeflin.html High IQ communities gather people with supposed or really measured high IQ. Some exhibit learning disabilities, others didn’t adapt to the academic world but, beyond the inevitable elitism, competition and infatuation, all undoubtedly find in these societies a stimulating and sometimes comforting environment. Here is one of the most popular on-line societies: http://www.cerebrals.com/ In 2001 I create and put on line the 916 test. Initially conceived as a funny challenge to the puzzles geeks, the 916 test meets an immediate interest in the high IQ community because of the pureness and the originality of the items, especially some highly abstract verbal items that needs the mastery of an elementary language only. The test appears to be much more difficult than expected and before all its psychometric value is perfectly reliable with that of the other normed power tests and even with the classical IQ tools, essentially the RAPM and the Cattell, in the limits of the ceiling of the latter. Power IQ tests and A.I. seemingly tend to reach to very different objectives: to develop the means to check the highest level of intelligence on the one hand, to establish the minimal conditions of emergence of intelligence on the other hand. But the will of the designers to elaborate, or discover the purest, most abstract items can be of some help to researchers in AI. HIQH Frequent critics against such societies and people claiming a high IQ consist in reproaching the complete uselessness of their potential and their wasting into purely intellectual masturbatory activities. Despite of its humanist objectives, a society like Mensa (http://www.mensa.com), the high IQ society (over 100,000 members around the globe) founded in 1946 by the eccentric enthusiast qualified in Law Roland Berrill and the Scientist, barrister and polymath Dr Lance Ware intended to the development of intellectual faculties and performances for the improvement of humanity, did not esacape such critics. In march 2002, birth of the High IQ for the Humanity project http://www.hiqh.org/: in short, compensate the socio-economical imbalance between developed and less developed countries aggravated by the phenomenon of "Brain Drain". Let’s note that in less than two years, almost exclusively by the mean of online interactions, HIQH has become an official NGO, a 501(c)(3) non-profit corporation recognized by the U.S. federal government and fully exempt from federal tax, with projects started in Nepal, Bulgaria, Kenya and Bangladesh. As the society intended to work on the basis of an enlarged definition of intelligence, I decided to propose a synthesis of the two models of intelligence most often discussed in the high IQ forums: the “general factor of intelligence” (g) by Spearman and the “multiple intelligences” of Gardner. As I try to highlight this compatibility through a matrix and a dynamical diagram that modelize the interactions between the man and his environment, it seems to be appropriated in the frame of lessons on cognitive sciences. Short story of the different models of « measure » of intelligence Here some important steps in the history of the measuring of intelligence. Galton to the essence of intelligence; e.g. “creativity”, which we all know somewhat confusedly that it is directly linked to intelligence and which the strongest weakness compared to “performance” is its unruly and free nature (wild intelligence), aleatory efficiency. Now, if we see “creative productions” as the answers to non yet formulated problems, it can more easily and obviously integrated as an essential component of intelligence! Gardner typology is nothing more than an extension of Thurstone primary mental abilities. MI-g Synthesis [the emphasis is put on g as product] So a new framework is needed. Here below is an attempt of remodelling of the different conceptions of intelligence and of including the enlarged definition of intelligence. The deep analysis of the matrix will be made in two steps: the attempt of elaborating the emphasis on the dynamical side through a diagram Matrix Spearman g global mental potential “energy” Factorial analysis Product of group factors statistical relations to be confirmed Raw g: neural/neuronal speed processing factor (speed) & neural system complexity factor + sensory- *short- (cash) *mid- (ram) *long- (hard) term memory Spearman Carroll* Hardware Pure Fluidity + genotype Rom Galton Jensen (set of instructions) 1storder Interface Filte r 2d order Software Filte (from other “g-loaded” r entities) 1st Metabolism (Breath-sugar consumption-protein-vitamins-greases…) + Sense (central nervous system) Crystallization Phenotype(?) Gardner 9 MI Crystallization Guilford 5 contents (environment 2d gs Physico-math gs Linguistic gs Spatial gs Musical gs Bodily-kinaesthetic gs Interperson Symbolic Semantic (Verbal) Visual gv Auditory gu (Rhythmic) Behavioural (Spatio-dynamical) Behavioura [non-g + g loaded entities] + personality) Common feature: “infos”, but specific “codes”/data componential Power Guilford 5 operations As sub-specifications of the 3 components of the Sternberg triarchic theory + - Vocabulary Similarities Arithmetic - Persistence Motivation Evaluation Cognition analytical synthetical hypotheticodeductive inductive algorithmic [try and error] dynamic combinatoric systematic heuristic conjecturospeculative Contextual - Convergent production Practical Experimental Experiential Jensen (meta) - Binet-Simon – Weschler (+ Vernon) - - componential - Evaluation Cognition analytical synthetical hypotheticodeductive inductive algorithmic dynamic combinatoric systematic heuristic conjecturospeculative Contextual + Verbal Subtests Subtests gν Sensory short (cash) mid (ram) long (hard) - Thurstone’s 7 primary mental abilities as sub-specifications Analytical spatial ability (gsf + gsc) -perceptual speed -numerical ability -verbal meaning -memory *short (casch) *mid (ram) *long (hard) -word fluency -reasoning Memory Performance gf - Picture Completion - Digit-Symbol/Coding - Block Design Divergent production - (wild g) pure divergence producivity ingenuity originality - Logico-divergence (highest quality of g) autoreference recursivity infinity - - Evaluation Cognition analytical synthetical hypotheticodeductive inductive algorithmic dynamic combinatoric systematic heuristic conjecturospeculative Contextual - Convergent production Practical Experimental Experiential - componential Divergent production (wild g) pure divergence producivity ingenuity originality logicodivergence (highest quality of g) autoreference - - Evaluation Cognition analytical synthetical hypotheticodeductive inductive algorithmic dynamic combinatoric systematic heuristic conjecturospeculative Contextual - Convergent production Practical Experimental Experiential - componential Divergent production (wild g) pure divergence producivity ingenuity originality logicodivergence (highest quality of g) autoreference - - Evaluation Cognition analytical synthetical hypotheticodeductive inductive algorithmic dynamic combinatoric systematic heuristic conjecturospeculative Contextual - Convergent production Practical Experimental Experiential - componential Divergent production (wild g) pure divergence producivity ingenuity originality logicodivergence (highest quality of g) autoreference - - Evalu Cogni analytic syntheti hypothe deductive inductiv algorith dynamic combina systema heuristic conjecturospeculative Contextual - Convergent production Practical Experimental Experiential - componential Divergent production (wild g) pure divergence producivity ingenuity originality logicodivergence (highest quality of g) autoreference Conve produc Practica Experim Experiential - Diver produc (wild g) pure divergen produciv ingenuit original logico diverg (highest quality o autorefe Material input: Disassembly-debugging Organical computable nanocalculator ⇓ ▼ ⇓ ▼ ??? → ⇓ Bodilykinaesthetic Personality Intrapersonal Naturalist G g’ genotype [intrinsic neural/neuronal speed processing factor (speed) & neural system complexity factor] g” ► phenotype [metabolism + sense] ► Interface primary mental abilities ► 2d filter 2d ► crystallisation 1st filter 1st crystallisation [immediate environment] CCaalllloouuss CCoorrppuuss t5 t1-t4 t1-t4 Raw g Dynamical programmation t0-t3 PPrree--bbrraaiinn PPrree--ggeenneettiiccss PPrree--pprrooggrraam m ((D DN NA A??)) [[aaw waarreennaaeessss ((sseellff-ccoonnsscciioouussnneessss))]] Environment [non-g + g loaded entities] Hardware + eepRom [set of instructions: DNA? Executive functions?] Physico-math Musical Interpersonal Linguistic ▲ ∆ ▲▲ ↑↑ → Thanks to the introductio n of the time factor, the diagram constitutes the translation in a dynamical and more concrete structure of the Matrix. It allows us to make a connexion between the MI-g synthesis and its possible use in research in AI. So the will to enlarge the field of testing intelligence by including Gardner’s additional types of intelligence leads us to emphasize the distributed nature of intelligence , at once physiologic ally and environme ntally. So, we would like to underline the essential role of a spine in the developme nt and the functioning of intelligence . Here is a pretreatment of the info that will determine further treatment data. In the same way, the configuration of the sense organs constitute an important factor in the filtering of the stimuli, all the more when one remembers that the nasal fossae, for example, are constituted of neurons. The maturation process needs “delays”, and more specifically “time-lag delays”. Let’s note the introduction of an intermediate memory between the short- and the long-term memories: the “mid-term memory”. Indeed, we don’t that the working memory can be limited to about twenty seconds. As product, G is the emergence of a process of maturation. Let us note that with Spearman, it is not the product of one particular entity/diagram but of the correlations between the scores of multiple entities. Thus, g is a product. But as general, genetic factor, g must rest above, at the origin of this process. This schizophrenic nature must explain the incompleteness of the orthodox model. If Spearman is right, it must be possible to design a perfectly culture-free test that will give, under ideal conditions of testing, a perfect measure of the intelligence of whole world population and if the distribution is really normal, it corresponds to a Bell curve. But Spearman could not ignore specific factors in testing tools. That means that in one or in another way, cultural or idiosyncratic bias cannot be avoided. Creativity and logico-divergence In addition to the addition of some types of mental activities to the field of testable abilities, we would like to focus on two essential ways for the different abilities to express themselves: creativity and logico-divergence. One of the biological bases of creativity has been identified. While non creative people shut out the most part of the incoming stimuli from the surrounding environment through the process called “latent inhibition”, creative people are much more likely to take unconsciously into account the kind of stimuli that experience has shown to be irrelevant to specific needs. This low level of latent inhibition particularly contribute to original thinking when combined with high IQ and good working memory. This is all the more interesting that not only creativity gains full credit as intellectual activity but it even surpasses more common cognitive abilities usually tested in IQ tests. As for the logico-divergence, we will define it as the expression of the own limits of logic by logic itself; when and where logic reaches its limits through the notions of infinity, auto reference and recurrence that lead to stake into abyss, nest of process. In an IQ test, it qualifies an item made of free culture-free associations that requires, to be solved, an excellent sense of observation and basic notions of logic. Creativity and logico-divergence are often intimately linked and we are convinced that a program integrating them will successfully pass the Turing test. Enlarged definition of intelligence Below is an attempt of extension of the definition of intelligence going beyond the notion of “pure performance” in order to include factors such as artistic-aesthetic, sensitivity, creativity, empathy, consciousness, wisdom… The idea is the following: since it is currently impossible to elaborate a precise enough definition (both simplest and most general), the most reasonable and rigorous attitude consists in including a maximum of the probable components rather than in making the bet that intelligence can be reduced to very narrow abilites. - - Ability to selectively register information? (Ability to just register info? Not so, since inanimate matter can do it as well) Ability to use information (registered in sensory, short [cache], mid [ram], or long [hard] term memory) Ability to search information in order to: . solve an existing problem (no new info) Ability to produce information in order to: . solve an existing problem (new info) . formulate a new problem & solve it (two new information) Faculty of wondering what the ability to selectively register, to search, to use and to create information is Faculty of wondering what intelligence is Faculty of being conscious of this questioning Faculty of infinite auto-reflexive questioning (infinitely recursive meta-process) Ability to see, memorize, use, create connections between basic homogeneous and/or heterogeneous set of codes in order to create and/or solve problems or without any precise [conscious] intention. Bi-conclusions The Matrix and the Diagram constitute a kind of synthesis of the four approaches of intelligence: - the psychometric approach: IQ testing - the developmental approach: Piaget (intelligence as interaction between an inner maturation and experiments with the environment)-Vygotsky (social conception of intelligence) - differential approach: Sternberg triarchic theory-Gardner multiple intelligence theory - cognitive approach: AI; model = computer; strategies of resolution of problems HIQH As stated in the introduction, in the politic of the High IQ for Humanity NGO, the MI-g synthesis must lead to the elaboration of enlarged testing tools and to the development of new kind of assessment. But it is not really our purpose here. Beyond consciousness What interests us more particularly is the conditions under which an artificial intelligence similar or superior to that of the human being can be elaborated. An AI that would propose to… the fruit of its researches, human being being auto disqualified, the equivalent of the Turing test! As there is no particular reason that the process of natural evolution stops with the emergence of human consciousness, it is more than probable that it currently continues through the most complex known entity in the eyes of the human brain: the… human brain. It must constitute the ground of the already realized or next “qualitative jump” in the universal evolutive history! Some searchers don’t only intend to build machines with intelligence similar to that of human beings, some of them would like to make more intelligent. In both cases, it seems inevitable to use the finest and most performing components: the human brain anatomy. Here are the minimal conditions: - spine: physiological distribution - five senses: physiological distribution - quantum level precision - social interactions: environmental distribution This essay would deserve much longer developments. Bibliography Anderson, M. (1992) Intelligence and Development - A Cognitive Theory, 1st ed, Oxford:Blackwell Press Carroll, J.B. (1993) Human Cognitive Abilities: A Survey of Factor-analytic Studies. New York: Cambridge University Press. Francis Galton First Edition, Macmillan, 1883 Second Edition, Dent & Dutton (Everyman), 1907 http://www.mugu.com/galton/books/human-faculty/text/html/index.html Gardner, H. (1993) Frames of Mind - The Theory of Multiple Intelligences, 2nd ed, New York:Basic Books Gardner, H. (1993) INTELLIGENCE IN SEVEN STEPS http://www.newhorizons.org/future/Creating_the_Future/crfut_gardner.html Gardner, H.; Kornhaber, M. and Wake, W. (1996) Intelligence - Multiple Perspectives, 1st ed, London:Harcourt - Brace Goleman, D. (1996) Emotional Intelligence, 1st ed, G.B.:Bloomsbury Publishing Gould, S.J. (1997) The Mismeasure of Man, 1st ed, G.B.:Penguin Books Guilford, J.P. (1967) The Nature of Human Intelligence, New York: McGraw-Hill Gustafsson, J. -E. (1984) A Unifying Model for the Structure of Intellectual Abilities, Intelligence, 8, 179-203. Horn, J. and Cattell, R.B. (1966) Refinement and test of the theory of fluid and crystallised general intelligences. Journal of Educational Psychology, 57(5), 253-270. Jensen, Arthur R. (2000) IQ Tests, Psychometric and Chronometric G, and Achievement, Psycoloquy: 11,#14 http://psycprints.ecs.soton.ac.uk/archive/00000014/ Kline, P. (1994) Intelligence : The Psychometric View, 1st ed, London:Routledge Piaget, J. (1967) The Psychology Of Intelligence, 5th ed, London:Routledge & Kegan Paul Ltd Spearman, C. (1904) General Intelligence, objectively determined and measured. American Journal Of Psychology, 15, 201-293. http://psychclassics.yorku.ca/Spearman/ Sternberg, R.J. (1985) Beyond IQ: A triarchic theory of human intelligence, Cambridge:Cambridge University Press Thurstone, L.L. (1938) Primary Mental Abilities, Chicago: University of Chicago Press. Vernon. P.E. (1956) The Measurement of Abilities. London: University of London Press.