Knowl­edge Apparatus

Mariabruna Fabrizi, Fosco Lucarelli

Ramon Llull, Prima Figura, Ars Magna, 1305
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Ramon Llull, Prima Figura, Ars Magna, 1305

Mark John­son, philoso­pher and the­o­rist in the field of embod­ied cog­ni­tion, employs the fig­ure of the line recur­rent­ly as the main com­po­nent of visu­al schema­ta. For embod­ied cog­ni­tion, the the­o­ry which demon­strates how our phys­i­cal expe­ri­ence of the world pro­found­ly influ­ences abstract thought, schema­ta are struc­tures which are extract­ed from bod­i­ly expe­ri­ences and trans­lat­ed as cog­ni­tive instru­ments which our brain employs to con­vey mean­ing. The recur­ring schema­ta of path”—the phys­i­cal expe­ri­ence of mov­ing from one place to another—is thus rep­re­sent­ed by a sim­ple line and trans­lates in cog­ni­tion in the idea of con­nec­tion, the way two enti­ties relate one anoth­er1.

The line which con­nects dots and thus estab­lish­es imme­di­ate social rela­tions between data, con­cepts, geo­gra­phies appears as the visu­al metaphor of the net­work (the cen­tral fig­ure in con­tem­po­rary infor­ma­tion-based soci­ety). The mul­ti­ple lines defin­ing a net­work mate­ri­alise human abil­i­ty to relate sub­jects and con­struct knowl­edge out of iso­lat­ed objects, while mov­ing” from one con­cept to another. 

The work of Cata­lan poly­math Ramon Llull (1232–1315), con­sid­ered among the ances­tors of for­mal sys­tems of log­ic and even of com­pu­ta­tion and arti­fi­cial intel­li­gence, con­sti­tutes a prece­dent in the visu­al con­struc­tion of rela­tion­ships through mul­ti­ple lines shap­ing a network.

Llull’s Ars gen­er­alis ulti­ma (“The Ulti­mate Gen­er­al Art”) or Ars Magna includ­ed paper-based mech­a­nisms aim­ing to cre­ate new knowl­edge from the con­nec­tion and com­bi­na­tion of dif­fer­ent con­cepts. In the first illus­tra­tion of the Ars, nine points equidis­tant on a cir­cum­fer­ence are all con­nect­ed through sim­i­lar lines. This sys­tem allows all the words writ­ten beside a rim to asso­ciate mutu­al­ly. As metaphors of mul­ti­ple paths, the lines mate­ri­alise here the active role of the var­i­ous terms and the way they inter­act in a dynam­ic sys­tem of relationship.

Llull ini­tial­ly con­ceived the Ars Magna as a device des­tined to the con­ver­sion of Mus­lims through the log­ics of Chris­t­ian faith. How­ev­er, the work pro­gres­sive­ly revealed an intrin­sic capac­i­ty of act­ing as a log­i­cal machine:” an appa­ra­tus able to pro­duce knowl­edge in dif­fer­ent fields through mul­ti­ple com­bi­na­tions of notions. Through the sym­bol­ic poten­tial of the line, Llull con­struct­ed the very first demon­stra­tion that a device can imi­tate human thought.

Based on Llull’s pre­vi­ous dis­cov­er­ies, Jesuit­ic poly­math Athana­sius Kircher devel­oped var­i­ous com­bi­na­to­ry sys­tems capa­ble of gen­er­at­ing all pos­si­ble com­bi­na­tions from a finite col­lec­tion of ele­ments. Such tech­niques applied to the com­po­si­tion of aleatoric music, the descrip­tion of alchemic tables of trans­for­ma­tion, the con­struc­tion of a lan­guage. When the lines inter­twine, they draw fig­ures whose strik­ing visu­al qual­i­ties reveal Kircher’s aes­thet­ic preoccupations.

Athanasius Kircher, “Combinationis Linearis”, in Ars Magna Sciendi Sive Combinatoria, 1669
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Athanasius Kircher, “Combinationis Linearis”, in Ars Magna Sciendi Sive Combinatoria, 1669

When, in 1666, Got­tfried Leib­niz wrote his youth­ful work Dis­ser­ta­tio de arte com­bi­na­to­ria, he was inspired by Ramon Llull’s Ars Magna. Despite late­ly con­sid­er­ing his text as imma­ture, the Ars com­bi­na­to­ria con­sti­tut­ed the philosopher’s access­way to the world of log­ic. In this work, all con­cepts derive from com­bi­na­tions of a small num­ber of sim­ple notions. A series of lines con­nect­ing basic con­cepts is again the fig­ure which defines the intel­lec­tu­al oper­a­tions. How­ev­er, the lines are no longer just pure con­nec­tors; here, they get suf­fi­cient­ly thick­ened to include the kind of rela­tion­ship they are sup­posed to sym­bol­ise (con­traria, pos­si­bilis, sum­ma). The lines do not lie on the same plane as in Llull’s fig­ures, but they are super­posed to con­struct an actu­al tis­sue of relationships. 

Gottfried Leibniz, Dissertatio de arte combinatoria, Frontispiece of the book, 1690
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Gottfried Leibniz, Dissertatio de arte combinatoria, Frontispiece of the book, 1690

All these his­tor­i­cal fig­ures rep­re­sent ear­ly attempts to exte­ri­orise human thought and log­ic through sim­ple devices based on the abil­i­ty of the line to act as a con­nec­tor. Or, as Mark John­son implied, to trans­late fig­u­ra­tive­ly the act of walk­ing from one place to anoth­er into the con­cep­tu­al oper­a­tion of relat­ing notions to con­jure up con­cepts. The visu­al appear­ance and intrin­sic log­ic of those ear­ly devices resur­faced in the sym­bol­ic rep­re­sen­ta­tion of the net­work, a fig­ure made of inter­con­nect­ing lines, which became wide­spread with the ampli­fi­ca­tion of com­mu­ni­ca­tion infra­struc­tures. In the net­work, more points are con­nect­ed by more lines, inter­sect­ing and trans­mit­ting infor­ma­tion on dif­fer­ent scales. The basic schema­ta of the path turned into the uni­ver­sal metaphor of how a mul­ti­plic­i­ty of things com­mu­ni­cate and even­tu­al­ly pro­duce a world-wide brain. 

Such a cog­ni­tive anal­o­gy would become lit­er­al through the mod­el of the arti­fi­cial neur­al net­work”, the typ­i­cal rep­re­sen­ta­tion of com­put­ing sys­tems inspired by the bio­log­i­cal neur­al net­works in the human brain. ANNs visu­al­i­sa­tions are an attempt to sim­u­late the archi­tec­ture of the human brain to improve the per­for­mances of con­ven­tion­al algo­rithms. The points in the net­work rep­re­sent arti­fi­cial neu­rons and the lines (here, called edges), act like the synaps­es in a bio­log­i­cal brain, capa­ble of trans­mit­ting sig­nals to oth­er neurons. 

The ANN structure for solving the direct problem, in V. S. Abrukov, Amrith Mariappan, Sanal Kumar, Darya Anufrieva, “Comprehensive study of AP particle size and concentration effects on the burning rate of composite AP/HTPB propellants by means of neural networks. Development of the multifactor computational models. Direct tasks and inverse problems & virtual experiments”, Preprint, October 2020. Licensed under an Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)
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The ANN structure for solving the direct problem, in V. S. Abrukov, Amrith Mariappan, Sanal Kumar, Darya Anufrieva, “Comprehensive study of AP particle size and concentration effects on the burning rate of composite AP/HTPB propellants by means of neural networks. Development of the multifactor computational models. Direct tasks and inverse problems & virtual experiments”, Preprint, October 2020. Licensed under an Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)

For the lines in the net­work to lit­er­al­ly con­fig­ure phys­i­cal paths and the points to appear as real des­ti­na­tions, we have to look at a fur­ther mate­ri­al­i­sa­tion of the notion of the net­work, in which the metaphor becomes space, and space an archi­tec­tur­al project. In 1963, the archi­tects Can­dilis, Josic, Woods and Schied­helm won the inter­na­tion­al com­pe­ti­tion for the new cam­pus of the philo­log­i­cal insti­tute in Berlin. Their design had the pur­pose of trans­form­ing the cam­pus in a deeply inter­con­nect­ed city” endowed with inter­nal streets, squares, court­yards and mul­ti­ple walk­ways. The net­work would appear as a guid­ing scheme in the project pre­sen­ta­tion, as it would trans­late in a spa­tial grid with­out any hier­ar­chi­cal dis­tinc­tion between class­rooms, depart­ments and facil­i­ties. Behind the pro­pos­al was a rad­i­cal rethink­ing of the edu­ca­tion­al sys­tem: the fig­ure of the network—the ide­al of hor­i­zon­tal com­mu­ni­ca­tion among stu­dents and teachers—becoming actu­al space. In this project, the think­ing-devices based on com­bi­na­to­ry log­ic which exte­ri­orise the brain process­es would become a full envi­ron­ment where mul­ti­ple paths allow peo­ple to walk across an urban land­scape of infor­ma­tion and pro­duce new knowledge.

Candilis, Josic, Woods, The Free University of Berlin, Plan of Upper Level, 1963-64
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Candilis, Josic, Woods, The Free University of Berlin, Plan of Upper Level, 1963-64