ART & ORGANISM
Elements of Art and Aesthetic Experience
In ART & ORGANISM I hope to explore ART as an ensemble of related traits that are expressed or experienced as both processes and products of cognition. [look in on the meaning of cognition, including embodied cognition] These function in ways unlike those used in most moment-to-moment, day-to-day processes of identifying and dealing with biologically relevant needs. (Our consideration of NEEDS begins with Maslow’s hierarchy: see these now.) In other words, ART appears to “go beyond” immediate needs by exercising skills and combinations of skills (of perception, integration, and expression). In practice this results in “making special” (Dissanyake). That is the stimulus “stands out” and recruits more attention than it would routinely.
In “going beyond” ART has much in common with PLAY. Both ART and PLAY were once considered “autotelic” in that they were done for their own sake and not to meet some other external need. We are now aware that they are important parts of self-actualization, of development that enables the fullest expression of a human’s potential.
Ethology—the study of behavior in developmental, evolutionary, ecological, and physiological context (“DEEP ETHOLOGY”)—integrates these disciplinary perspectives at every accessible level of organization from the cellular to the social in order to cultivate a holistic sense of art that will not neglect the fine-grain details on which it is built while simultaneously allowing the emergence of unique possibilities of one’s self and of humanity. The tools of traditional empirical science paradoxically reveal mystery that seems to go beyond the simply “undiscovered” and evoke a deep spiritual sensitivity. There is a dynamic dialectical relationship between what we feel is known and unknown, real and ideal, that manifests in thought processes and feelings, often manifest in art.
Both the expression and perception of ART are often found to be enlightening—a part of our growth, our continuing development as individuals—but like most traits these aspects of art exist along a continuum, a spectrum of more-or-less power at different ages and according to our intellectual and emotional needs.
ELEMENTS of ART
- EXPRESSIVE (meeting the artist’s needs) and/or PROJECTIVE (involves actions (or their suppression) and how they represent the state of the artist)
- RECEPTIVE (meeting the “recipient’s” needs) is interpretive in that SELECTIVE ATTENTION is involved (involves what the recipient perceives)
The QUALITIES OF REPRESENTATION, whether to explore our own knowledge, to communicate our knowledge to others (to extend or test or corroborate our own senses), or to teach, are often identified in art as a discipline. The scholar of art and organism examines first the hypothesis that these qualities are more or less congenital (in-born, genetic, an evolutionary question) or acquired (learned intentionally or not, a developmental question):
- UNITY. The connectedness of the perceptually distinctive fragments or elements of the work; often presumed to work together because of an underlying concept (the gesamtkunstwerk is an ideal of all senses integrated in the cause of the artwork) [but consider the tensions in apparently conflicting attrbutes: INDIVIDUATION versus SOCIALIZATION or COMPETITION versus COOPERATION). Great pleasure derives from the detection of UNITY from disparate fragments or threads (the bias towards the Theory of Everything? And seen Biederman and Vessel (2006) about a neurological bias toward the pleasure of problem solving)
- MOVEMENT: the mind attends different fragments of the piece in varying orders that affect its effectiveness as a whole, and the artist can control the pattern.
- Perception is necessarily fragmentary and phenomena are “assembled” from a flow of perceptual attention; an artist is likely to guide the senses –leading them down a particular path to converge on the phenomenon they seek to represent, aided by judgements about how to arrange the elements that will catch and guide the eye or ear (or touch or scent, or taste).
- “Techniques such as scale and proportion can be used to create an effect of movement in a visual artwork. For instance, an element that is further into the background is smaller in scale and lighter in value. The same element repeated in different places within the same image can also demonstrate the passing of time or movement.[Wikipedia link]”)
- VARIETY. Diversity of elements which may act to keep sensory processes alert but nevertheless (hopefully) maintain the underlying unity. (sensory satiation)
- Theme and Variation (“unity in variety”): the balance between unity and diversity is crucial … relates to Creative and Mundane: too creative and it won’t be recognized (Stent, Prematurity and Uniqueness) … the “baby steps” when pointed out, contextualize it (allow it to be accommodated with minimal change) How are things the same and different: “compare and contrast” [look into the sonata]
- HARMONY. The effectiveness of the support that elements provide each other. (“harmony” in cerebral functions has been invoked as a necessary condition for higher levels of consciousness)
- BALANCE. The symmetrical, asymmetrical, or radial patterns of presentation of the elements of the work (bilateral symmetry as an attribute of a prospective reproductive partner is important in sexual selection)
- CONTRAST. Any “conflict” between elements emphasizes other qualities of representation and evokes and maintains attention
- PROPORTION. The relative size and density of elements with respect to each other (look into “the Golden ratio” ); can support the illusion of relative distance or importance.
- PATTERN The way the elements are organized with respect to each other. (Science is organized knowledge. –Herbert Spencer (1861:ch. 2)
- ANALOGY –not just “ART” : arguably the CORE – the “fuel and fire” of human thinking — “long distance” analogies reach beyond familiar boundaries and even into other modalities and domains — but does art have poetic license to reach further? … As with “theme and variation”, reaching too far may break the thread for some people, disabling connections that otherwise be illuminating.
- Any attribute of the mind-web of memory: a detail in any modality amidst the flood of stimuli in which we are immersed, in which we swim through—color, sound, smell—a fragment or juxtaposition of fragments emergent from the integration of percepts, or a thread of the output of mind into action. Resemblances, connections, processes… things seen from a perspective a hair’s breadth differently [Thoreau, Whitman]
- In anthropomorphism, we indicate our disposition to understand the little-known in terms of the slightly-better known. — We reason about areas of ignorance by reference to areas of less-ignorance. We—our experiences—become the measure of the unknown, we may even validate ourselves by projecting into that void, seeking the peace of corroboration …
- INFERENCE. Much of what we understand is “inference” (“deriving logical conclusions from premises known or assumed to be true.”) Conclusion derived from “circumstantial evidence.”
To mix metaphors, “Standing on the shoulders of giants” we can “extrapolate” from the more-or-less solid ground on which we stand to the adjacent unknown…
Filling in gaps is the business of “interpolation” … Coherence often assumes the existence of intermediaries that can in principle maintain an unbroken chain of causation.
“Filling in” is an important concept in neuroscience where in vision, the phenomenon is prominent in vision, particularly by providing probable “information across the physiological blind spot, and across natural and artificial scotomata.”
Probability about the validity of beliefs derives from an apparently inborn ability.
Desmond Morris studied the biological principles of picture making and confirmed that several points apply from Leonardo da Vinci to his research chimpanzee, Congo): Six General Principles of Aesthetic Experience and Presentation (Morris. 1962:158):
- “Autotelic” (“Self Rewarding”) Activation (painting can be a rewarding activity) (does this serve the goals “to know and to be known:” BUT adaptive functions CAN be postulated
- “Calligraphic Differentiation” (advancement from scribbles to circles to representation [and see Howard Gardner’s “Artful Scribbles” and “Reflections on Artful Scribbles” published several decades later)
- “Thematic Variation” (vastly important in the theories of aesthetics) (See VARIETY/Theme and Variation)
- “Optimum Heterogeneity” (– when is a composition completed? Does it depend on individual’s mood, culture? (might include relative degrees of abstraction: ambiguity)
- “Universal Imagery” – intrinsic elements (… externalized projections of some factor of biology (such as phosphenes?) … gratification in certain movements, optically pleasing (golden mean), psychological factors.)
Desmond Morris also cites Nicholas Humphrey who had investigated visual preferences of primates. (He defines “preference” as a “combination of aesthetic pleasure and curiosity (or novelty)”. Ideas that emerged;
- Curiosity (interest) trumps pleasure [is this a conflict of NEEDS?) (“we are infovores”)
- the curiosity implicit in making art making has no obvious survival value (therefore it is considered “autotelic”—“self-reinforcing,” not connected to meeting “needs”). Alternatively, it may be a collateral expression of clearly adaptive behavioral pattern that reflects selection pressures that were adaptive in ancestry—in an unknown “environment of evolutionary adaptedness.” Although closely associated with non-conscious processes, could it be a kind of “mental model making” that is more effective for being externalized (“the Corporealization of the Psyche”) … does giving pure idea a sensuous form aid in understanding or integrating the idea?
Some examples of innate dispositions that may be expressed in art:
- preference for blue/green colours [jump to safety],
- bright light [desire to see things],
- The ability to compose pictures [represents a capacity to handle notions about complex spatial relationships; monkeys showed remarkably little individual variation in their preferences]
NEUROAESTHETICS. “I’ve always loved art, but now I’m in awe of it,” said neuroscientist V.S. Ramachandran, quoted by Jonah Leher in a short essay [READ: ”Unlocking the Secrets of the Artistic Mind,” 2009.] “…All I’m trying to do,” Ramachandran said, “is figure out what artists figured out a long time ago.” Leher (2009) outlined “10 Perceptual Principles of Great Art,” corresponding & enlarging upon “eight laws of artistic experience” described by Ramachandran & Hirstein (1999):
- Peak Shift: exaggerated responses to exaggerated stimuli: supernormal, caricature, selectively emphasized key elements of stimulus.
- Grouping: the law of “grouping” discovered by the Gestalt psychologists around the turn of the century….after several seconds you start grouping elements together, and if successful in evoking a specific meaning, an “internal “Aha!” sensation as if you have just solved a problem. In short, the grouping feels good.” A signal extracted from the noise.
- Balance: Successful art makes use of its entire representational space, and spreads its information across the entire canvas.
- Contrast: because of how the visual cortex works, it’s particularly pleasing for the brain to gaze at images rich in contrast, like thick black outlines or sharp angles—or, as in the geometric art of Mondrian, both at once. “… the extraction of features prior to grouping — which involves discarding redundant information and extracting contrast—is also ‘reinforcing’. Cells in the retina, lateral geniculate body (a relay station in the brain) and in the visual cortex respond mainly to edges (step changes in luminance) but not to homogeneous surface colours; so a line drawing or cartoon stimulates these cells as effectively as a ‘half tone’ photograph. What is frequently overlooked though is that such contrast extractions — as with grouping — may be intrinsically pleasing to the eye (hence the efficacy of line drawings). Again, though, if contrast is extracted autonomously by cells in the very earliest stages of processing, why should the process be rewarding in itself? We suggest that the answer once again has to do with the allocation of attention. Information (in the Shannon sense) exists mainly in regions of change—e.g. edges—and it makes sense that such regions would, therefore, be more attention grabbing — more ‘interesting’ — than homogeneous areas. So it may not be coincidental that what the cells find interesting is also what the organism as a whole finds interesting and perhaps in some circumstances ‘interesting’ translates into ‘pleasing’.”
- Isolation: Sometimes less is more. By reducing reality to its most essential features—think a Matisse that’s all bright color and sharp silhouettes—artists amplify the sensory signals we normally have to search for.
- Perceptual Problem Solving: Just as we love solving crossword puzzles, we love to “solve” abstract paintings such as cubist still lifes or Cézanne landscapes.
- Symmetry: Symmetrical things, from human faces to Roman arches, are more attractive than asymmetrical ones.
- Repetition, Rhythm, Orderliness: Beauty is inseparable from the appearance of order. Consider the garden paintings of Monet. Pictures filled with patterns, be it subtle color repetitions or formal rhythms, appear more elegant and composed.
- Generic Perspective: We prefer things that can be observed from multiple viewpoints, such as still lifes and pastoral landscapes, to the fragmentary perspective of a single person. They contain more information, making it easier for the brain to deduce what’s going on.
- Metaphor: Metaphor encourages us to see the world in a new way: Two unrelated objects are directly compared, giving birth to a new idea. Picasso did this all the time—he portrayed the bombing of Guernica, for example, with the imagery of a bull, a horse, and a lightbulb.
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[note] “The different extrastriate visual areas may have evolved specifically to extract correlations in different domains (e.g. form, depth, colour), and discovering and linking multiple features (‘grouping’) into unitary clusters — objects — is facilitated and reinforced by direct connections from these areas to limbic structures. In general, when object-like entities are partially discerned at any stage in the visual hierarchy, messages are sent back to earlier stages to alert them to certain locations or features in order to look for additional evidence for the object (and these processes may be facilitated by direct limbic activation).”
Last updated Monday, October 08, 2018
 ANALOGY. Science 3 May 2013: Vol. 340 no. 6132 pp. 550-551 DOI: 10.1126/science.1236643 BOOKS ET AL. and see: “Thinking, Broad and Deep,” Keith J. Holyoak’s review of “Surfaces and Essences Analogy as the Fuel and Fire of Thinking” by Douglas Hofstadter and Emmanuel Sander (Basic Books, New York, 2013. 592 pp. $35, C$38. ISBN 9780465018475. The reviewer is at the Department of Psychology, University of California, Los Angeles…)
What makes human thinking special? Addressing the American Psychological Association a half century ago, physicist Robert Oppenheimer made the case for the centrality of analogy: “Whether or not we talk of discovery or of invention, analogy is inevitable in human thought, because we come to new things in science with what equipment we have, which is how we have learned to think, and above all how we have learned to think about the relatedness of things” (1). In Surfaces and Essences, Douglas Hofstadter (Indiana University) and Emmanuel Sander [University of Paris (Saint-Denis)] build the case that the ability to see analogies indeed forms the core of human thinking—the way we “think about the relatedness of things.”
No one is better equipped to make the case for analogy than the senior author. Hofstadter, analogist extraordinaire, burst onto the stage of cognitive science in 1979 with his Pulitzer Prize–winning Gödel, Escher, Bach, in which he created playful analogies and allegorical dialogues to illuminate such mathematical abstractions as recursion and undecidability (2). His intellectual breadth—trained in mathematics and physics, professor of computer science and psychology, artist, translator of Russian poetry and French novels—brings with it the capacity to see long-distance connections between situations and ideas, abstract their essences, and ground these abstractions in illuminating analogies. Surfaces and Essences, though not a sequel to Gödel, Escher, Bach, inherits a good deal of its intellectual focus and playful spirit. Like a strong marriage, the collaboration between Hofstadter and Sander, a French psychologist, is sufficiently seamless that the book reads as a single voice. Sander deserves credit for bringing in a salutary dose of psychological research, particularly on mathematical problem-solving and education, where goals and causal understanding are critical in distinguishing essence from surface. The mathematician soars among pure patterns; the psychologist stays rooted in human concerns. Their Anglo-Francophone collaboration reifies the art of translation, one of the most complex types of analogy-making. Rather than producing a conventional translation from source to target language, the authors worked in parallel on English and French versions. The book includes an illuminating self-referential sketch of its bilingual origin.
Hofstadter and Sander’s thesis—analogy is the core of cognition—is less (or more) radical than it might sound, as they extend analogy to include “categorization through analogy-making.” One situation is compared to another—two faces, two dogs, a heart and a pump—yielding a proto-category, to be refined by additional examples. Categories are not fixed and final products but are endlessly extensible by analogy. Waves on water come to embrace sound waves, then light waves, then spin waves, and then probability waves, as the concept wave becomes increasingly abstract. The authors convincingly refute those enthusiasts of embodied cognition who assume that because concepts are typically grounded in human perception and action, abstraction has been explained away. No: “abstraction is key, and to leave it out of one’s theory of thinking is to miss the boat by a wide margin.”
Abstracted by analogy. Waves on water are mapped to sound waves, then light waves, and then probability waves. Credit: Airom Bleicher
The book grounds its abstractions in a garden of delightful examples: analogies based on words, phrases, metaphors, and proverbs; “me, too” stories where one person’s anecdote elicits an analogical reminding in a listener; slips of action and of the tongue. Lofty scientific analogies are foreshadowed by the “banalogies” of everyday cognition. An elderly father driving by a cemetery baffles his adult son with the remark, “This is where all four of your grandkids were born”—the intended “all four of your grandparents are buried” fell victim to analogical slippage. As a child analogizes a toy truck to a real one, so Galileo analogized from Earth’s one-of-a-kind Moon to hypothesize the moons of Jupiter (exemplifying “meta-analogy”). In the final chapter, Hofstadter the mathematician-physicist provides a compelling exposition of the analogical origins of number concepts and Einstein’s relativity theory. Over a page of the book’s index is devoted to the entry “lists” (e.g., “of abstract uses of ‘mother,’” “of sour grapes situations,” “of computer concepts used in daily life”). Extensive endnotes and references provide an excellent overview of scholarly sources.
The authors provide a cornucopia of analogical examples and qualitative insights but largely bypass computational and neural constraints on analogy (e.g., the critical concept of “binding” is not discussed). The influence of prior experience on cognition is indeed ubiquitous, but is it always “analogy”? People (and other animals) also learn by conditioning, passive accumulation of statistical associations, and other implicit mechanisms [e.g., (3)]. The authors appear to be of two minds on the question of whether analogy is unique to humans. Like Darwin before them (4), they are avowed dog fanciers and similarly apply the most naïve of analogies—anthropomorphism—to their canine friends: “categorization for a dog is clearly the creation of analogical bridges to prior knowledge.” But a later section titled “What Makes Homo Sapiens Sapiens Sapiens?” reads like a retraction. The uniquely human core of analogy—the ability to encode and flexibly re-represent “the relatedness of things”—accounts for the fact that to date, scientists have emerged in only one species.
Surfaces and Essences warrants a place alongside Gödel, Escher, Bach and major recent treatments of human cognition (5). Analogy is not the endpoint of understanding, but its indispensable beginning. As Oppenheimer observed, “We cannot learn that we have made a mistake unless we can make a mistake; and our mistake is almost always in the form of an analogy to some other piece of experience” (1).
- ↵ B. J. Knowlton, J. A. Mangels, L. R. Squire, Science 273, 1399 (1996). Abstract
- ↵ D. C. Penn, K. J. Holyoak, D. J. Povinelli, Behav. Brain Sci. 31, 109, discussion 130 (2008). MedlineSearch Google Scholar
 “It is only necessary to behold the least fact or phenomenon, however familiar, from a point a hair’s breadth aside from our habitual path or routine, to be overcome, enchanted by its beauty and significance … To perceive freshly, with fresh senses is to be inspired.” (Thoreau, Journal Dec 11 1855 8:44).
 “Do I contradict myself? / Very well then I contradict myself, /(I am large, I contain multitudes.)” (Whitman, Song of Myself)
 “Circumstantial evidence is evidence that relies on an inference to connect it to a conclusion of fact—like a fingerprint at the scene of a crime. By contrast, direct evidence supports the truth of an assertion directly—i.e., without need for any additional evidence or inference. … On its own, it is the nature of circumstantial evidence for more than one explanation to still be possible. Inference from one piece of circumstantial evidence may not guarantee accuracy. Circumstantial evidence usually accumulates into a collection, so that the pieces then become corroborating evidence. Together, they may more strongly support one particular inference over another. An explanation involving circumstantial evidence becomes more valid as proof of a fact when the alternative explanations have been ruled out. … Circumstantial evidence is especially important in civil and criminal cases where direct evidence is lacking.” (http://en.wikipedia.org/wiki/Circumstantial_evidence)
 “In mathematics, extrapolation is the process of estimating, beyond the original observation range, the value of a variable on the basis of its relationship with another variable …. Extrapolation may also apply to human experience to project, extend, or expand known experience into an area not known or previously experienced so as to arrive at a (usually conjectural) knowledge of the unknown…” (http://en.wikipedia.org/wiki/Extrapolation )
 “… interpolation is a method of constructing new data points within the range of a discrete set of known data points. In engineering and science, one often has a number of data points, obtained by sampling or experimentation, which represent the values of a function for a limited number of values of the independent variable. It is often required to interpolate (i.e. estimate) the value of that function for an intermediate value of the independent variable. … A different problem which is closely related to interpolation is the approximation of a complicated function by a simple function.” ( http://en.wikipedia.org/wiki/Interpolation)
 Humans have innate grasp of probability. Study of indigenous Maya people finds probabilistic reasoning does not depend on formal education. Ewen Callaway 03 November 2014
People overrate the chances of dying in a plane crash and guess incorrectly at the odds that a coin toss will yield ‘heads’ after a string of several ‘tails’. Yet humans have an innate sense of chance, a study of indigenous Maya people suggests. Adults in Guatemala who have never learned a formal number system or a written language did as well as formally educated adults and children at estimating the probability of chance events1, the researchers found.
Children are born with a sense of number, and the roots of our mathematical abilities seem to exist in monkeys, chickens and even salamanders. But evidence has suggested that the ability to assess the chances of a future event is not as innate.
In a 1972 study, Daniel Kahneman, a psychologist at Princeton University in New Jersey, and the late psychologist Amos Tversky found that educated adults incorrectly judged the sequence of coin tosses ‘heads-heads-heads-tails-tails-tails’ as less probable than ‘heads-tails-heads-tails-tails-heads’2. (Any such sequence has the same exact probability, 1/64, of occurring.) Other researchers have pointed to the fact that the mathematics of probability were not worked out until the seventeenth century to argue that probabilistic reasoning is not innate and relies on formal education.
More recent research has pointed to a primitive sense of probability. In a study published in December 2013 and titled “Apes are intuitive statisticians”, researchers found that chimpanzees, gorillas and other great apes made decisions on the basis of the chances of receiving a preferred treat such as a banana over a less-coveted carrot3.
Vittorio Girotto, a cognitive scientist at the University IUAV of Venice, Italy, and his colleagues have found in past work that young children have some grasp of probability, albeit with limits4. For instance, 12-month-old babies shown three yellow balls and one blue ball being put into a container expressed surprise when a blue ball emerged. Yet 3- and 4-year-olds answer at random when asked which colour will be pulled from the container, and older children who passed that task struggled at more complicated tests of probabilistic reasoning.
Running the numbers
To further probe humans’ innate sense of probability, Girotto’s IUAV colleague Laura Fontanari travelled to rural Guatemala to work with adults from the indigenous Kaqchikel and K’iche people who had not been formally educated in language or maths. In a series of tests of probabilistic reasoning, the adults performed just as well as Maya schoolchildren and Italian adults.
Related stories: Scientific method: Statistical errors … Dyscalculia: Number games … Animal Instincts … More related stories
The tests involved picking the colour of a chip drawn at random from a pool of several. If the pool contained three blue chips and one yellow chip, for example, most of participants guessed that the chip chosen at random would be blue.
The Maya adults also updated their predictions with new information. In a test in which a pot contained four square-shaped chips (all of them red) and four circular chips (one red, three green), they determined that a red chip of any shape was most likely to be drawn. But when the researchers told them that a circular chip would be drawn, the volunteers updated their decisions and picked green.
In a third test, participants were shown a collection of differently-coloured tokens and asked to bet on whether two tokens chosen at random would be the same colour. Schoolchildren under 6 tend struggle with such combinatorial probabilities. But Mayan adults and 9-year-olds and Italian adults all performed better than chance. The results were published on 3 November in Proceedings of the National Academy of Sciences1.
Girotto says that people’s problems estimating probabilities may have to do with how uncertainty is expressed. Tasks that people struggle with, such as those presented by Kahneman and Tversky, often involved reading about percentages, while Girotto’s tests were visual.
“Eventually we will have a map of boundaries between the tasks that untrained people or other animals can perform and those they fail,” says Kahneman. “The present study is very useful in allowing us to colour one segment of that large map — but we should not draw overly general conclusions from it.”
Girotto also distinguishes between innate ability and advanced understanding. “The fact that we discovered this intuition in infants and in preliterate adults does not mean that this form of reasoning is flawless,” he says.
- Fontanari, L., Gonzalez, M., Vallortigara, G. & Girotto, V. Proc. Natl Acad. Sci. USAhttp://dx.doi.org/10.1073/pnas.1410583111 (2014). Show context
- Kahneman, D. & Tversky, A. Cognitive Psychol. 3, 430–454 (1972). Article Show context
- Rakoczy, H. et al. Cognition 131, 60–68 (2014). Article PubMed ISI Show context
- Téglás, E., Girotto, V., Gonzalez, M. & Bonatti, L. L. Proc. Natl Acad. Sci. USA 104,19156–19159 (2007). Article PubMed Show context
Related stories and links From nature.com Scientific method: Statistical errors 12 February 2014
 V.S. Ramachandran, neuroscientist and director of the Center for Brain and Cognition at the University of California at San Diego.
 The Journal of Consciousness Studies 6, 1999: Art and the Brain, ed. J. Goguen.