Kybernetes, Vol. 36 No. 7/8, 2007 |
The concepts and metaconcepts of pattern, pattern which connects and metapattern - pattern of patterns - developed by Bateson in the context of the epistemology metascience, in his words outlined as:
have been further developed mainly by Tyler Volk and Jeffrey Bloom, specifying a number of metapatterns applied in several fields:
It is the Platonic thesis of [this] book that epistemology is an indivisible, integrated meta-science whose subject matter is the world of evolution, thought, adaptation, embryology, and genetics – the science of mind in the widest sense of the word.
The comparing of these phenomena (comparing thought with evolution and epigenesis with both) is the manner of search of the science called "epistemology."
In my life, I have put the descriptions of sticks and stones and billiard balls and galaxies in one box , the pleroma, and have left them alone. In the other box, I put living things: crabs, people, problems of beauty, and problems of difference. The contents of the second box are the subject of this book.
I was griping recently about the shortcomings of occidental education. It was in a letter to my fellow regents of the University of California , and the following phrase crept into my letter:
"Break the pattern which connects the items of learning and you necessarily destroy all quality."
I offer you the phrase the pattern which connects as a synonym, another possible title for this book.
The pattern which connects. Why do schools teach almost nothing of the pattern which connects? Is it that teachers know that they carry the kiss of death which will turn to tastelessness whatever they touch and therefore they are wisely unwilling to touch or teach anything of real-life importance? Or is it that they carry the kiss of death because they dare not teach anything of real-life importance? What's wrong with them?
What pattern connects the crab to the lobster and the orchid to the primrose and all the four of them to me? And me to you? And all the six of us to the amoeba in one direction and to the back-ward schizophrenic in another?
Let me start again. The parts of a crab are connected by various patterns of bilateral symmetry, of serial homology, and so on. Let us call these patterns within the individual growing crab first-order connections. But now we look at crab and lobster and we again find connection by pattern. Call it second-order connection, or phylogenetic homology.
Now we look at man or horse and find that, here again, we can see symmetries and serial homologies. When we look at the tow together, we find the same cross-species sharing of pattern with a difference (phylogenetic homology). And, of course, we also find the same discarding of magnitudes in favor of shapes, patterns, and relations. In other words, as this distribution of formal resemblances is spelled out, it turns out that gross anatomy exhibits three levels or logical types of descriptive propositions:
1. The parts of any member of Creatura are to be compared with other parts of the same individual to give first-order connections.
2. Crabs are to be compared with lobsters or men with horses to find similar relations between parts (i.e., to give second-order connections).
3. The comparison between crabs and lobsters is to be compared with the comparison between man and horse to provide third-order connections.
We have constructed a ladder of how to think about – about what? Oh, yes, the pattern which connects.
My central thesis can now be approached in words: The pattern which connects is a metapattern. It is a pattern of patterns. It is that metapattern which defines the vast generalization that, indeed, it is patterns which connect.
have been further developed mainly by Tyler Volk and Jeffrey Bloom, specifying a number of metapatterns applied in several fields:
Complicity, An International Journal of Complexity and Education |
1 Spheres: maximum volume, minimum surface, containment; grapes, domes.
2 Sheets: transfer surface for matter, energy, or information; fish gills, solar collectors.
3 Tubes: surface transfer, connection, support; leaf veins, highways, chains of command.
4 Webs or Networks: parts in relationships within systems (can be centered or clustered, using clonons or holons, see 8, 11, and 12); subsystems of cells, organisms, ecosystems, machines, society.
5 Borders: protection, openings for controlled exchange; cell membranes, national borders.
6 Binaries: minimal and thus efficient system; two sexes, two-party politics, bifurcating decision process.
7 Gradients: continuum of variation between binary poles; chemical waves in cell development, human quantitative and qualitative values.
8 Centers: key components of system stability; DNA, social insect centers, political constitutions and government.
9 Layers or Holarchy: levels of webs, in which successive systems are parts of larger systems; biological nesting from biomolecules to ecosystems, human social nesting, engineering designs, computer software.
10 Emergence: general phenomenon when a new type of functionality derives from binaries or webs; life from molecules, cognition from neurons.
2 Sheets: transfer surface for matter, energy, or information; fish gills, solar collectors.
3 Tubes: surface transfer, connection, support; leaf veins, highways, chains of command.
4 Webs or Networks: parts in relationships within systems (can be centered or clustered, using clonons or holons, see 8, 11, and 12); subsystems of cells, organisms, ecosystems, machines, society.
5 Borders: protection, openings for controlled exchange; cell membranes, national borders.
6 Binaries: minimal and thus efficient system; two sexes, two-party politics, bifurcating decision process.
7 Gradients: continuum of variation between binary poles; chemical waves in cell development, human quantitative and qualitative values.
8 Centers: key components of system stability; DNA, social insect centers, political constitutions and government.
9 Layers or Holarchy: levels of webs, in which successive systems are parts of larger systems; biological nesting from biomolecules to ecosystems, human social nesting, engineering designs, computer software.
10 Emergence: general phenomenon when a new type of functionality derives from binaries or webs; life from molecules, cognition from neurons.
11 Holons versus clonons: parts of systems as functionally unique versus interchangeable; heart-lungs-liver (holons) of body versus skin cells (clonons) of the skin.
12 Clusters: subset of webs, distributed systems of parts with mutual attractions; bird flocks, ungulate herds, children playing, egalitarian social groups.
13 Arrows: stability or gradient-like change over time; biological homeostasis, growth, self-maintaining social structures.
14 Breaks: relatively sudden changes in system behavior; cell division, insect metamorphosis, coming-of-age ceremonies, political elections.
15 Triggers: initiating agents of breaks, both internal and external; sperm entering egg, precipitating events of war.
16 Cycles: recurrent patterns in systems over time; protein degradation and synthesis, life cycles, power cycles of electricity generating plants, feedback cycles, educational grade levels (cyclic design within an arrow of overall educational progress.
12 Clusters: subset of webs, distributed systems of parts with mutual attractions; bird flocks, ungulate herds, children playing, egalitarian social groups.
13 Arrows: stability or gradient-like change over time; biological homeostasis, growth, self-maintaining social structures.
14 Breaks: relatively sudden changes in system behavior; cell division, insect metamorphosis, coming-of-age ceremonies, political elections.
15 Triggers: initiating agents of breaks, both internal and external; sperm entering egg, precipitating events of war.
16 Cycles: recurrent patterns in systems over time; protein degradation and synthesis, life cycles, power cycles of electricity generating plants, feedback cycles, educational grade levels (cyclic design within an arrow of overall educational progress.
The metapatterns outlined by Volk and Bloom have been correlated to several characteristics of chaos and complexity:
by Anukriti Verma, M.Des student at Industrial Design Centre (IDC), IIT Bombay; site: Ravi Poovaiah |
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