Humberto Maturana – Trance-Scripts

Understanding and Ontology

“For the people of Chile,” write Winograd and Flores on the opening page of their 1986 book Understanding Computers and Cognition. Apple’s 1984 come and gone, Pinochet still in power in Chile.

The book begins by helping readers think anew what it is they do when they compute. Computing makes sense, write Winograd and Flores, only to the extent that we situate its activities within a complex social network that includes institutions, equipment, practices, and conventions. “The significance of a new invention lies in how it fits into and changes this network” (6).

Linguistic action is for Winograd and Flores “the essential human activity” (7). If what we do with computers includes “creating, manipulating, and transmitting symbolic (hence linguistic) objects,” say the authors, then we can expect computers to effect radical transformations in what it means to be human.

They reject what they call the “rationalistic” tradition, with its “mythology of artificial intelligence,” and its emphasis on “postulating formal theories that can be systematically used to make predictions” (8). They suggest instead a new orientation toward designing computers as “tools suited to human use and human purposes” (8), embracing as an alternative to the rationalistic tradition “a tradition that includes hermeneutics (the study of interpretation) and phenomenology (the philosophical examination of the foundations of experience and action)” (9). Informed by the works of philosophers Martin Heidegger and Hans-Georg Gadamer, Chilean biologist Humberto Maturana, and speech-act theorists J.L. Austin and John Searle, Winograd and Flores suggest that we create our world through language.

The authors define programming as “a process of creating symbolic representations that are to be interpreted at some level within a hierarchy of constructs of varying degrees of abstractness” (11). Like Heidegger translator Hubert Dreyfus, however, Flores and Winograd are unable to imagine beyond the AI of their time, leading them to reject the possibility of “intelligent” machines — let alone ones capable of programming themselves and their programmers. “Computers will remain incapable of using language in the way human beings do,” argue the authors, “both in interpretation and in the generation of commitment that is central to language” (12). Yet they still believe there to be “a role for computer technology in support of managers and as aids in coping with the complex conversational structures generated within an organization” (12).

“Much of the work that managers do,” they add, “is concerned with initiating, monitoring, and above all coordinating the networks of speech acts that constitute social action” (12).

Caius is put off by the book’s diminished expectations and orientation toward management. He finds much to like, however, in a section titled “Understanding and ontology.”

“Gadamer, and before him Heidegger, took the hermeneutic idea of interpretation beyond the domain of textual analysis, placing it at the very foundation of human cognition,” write Winograd and Flores. “Just as we can ask how interpretation plays a part in a person’s interaction with a text, we can examine its role in our understanding of the world as a whole” (30).

Heidegger does this, they say, by rejecting “both the simple objective stance (the objective physical world is the primary reality) and the simple subjective stance (my thoughts and feelings are the primary reality), arguing instead that it is impossible for one to exist without the other. The interpreted and the interpreter do not exist independently: existence is interpretation, and interpretation is existence” (31).

“Fernando decided in his thinking about computers that computers should be used to facilitate human language interactions, not to ‘understand’ language,” notes Winograd in an interview with Evgeny Morozov included in the final episode of The Santiago Boys. “He had this very clear focus on ‘language as commitment,’” with participants involved in making “promises and requests,” adds Winograd.

The book’s seventh chapter, “Computers and Representation,” helps Caius think like a computer programmer. “One of the properties unique to the digital computer is the possibility of constructing systems that cascade levels of representation one on top of another to great depth,” write the authors. Like wheels of a volvelle, these levels include that of the physical machine, the logical machine, the abstract machine, a high-level language, and a scheme for “facts” (87).

“The computer programmer or theorist does not begin with a view of the computer as a physical machine with which he or she interacts, but as an abstraction — a formalism for describing patterns of behavior. In programming, we begin with a language whose individual components describe simple acts and objects. Using this language, we build up descriptions of algorithms for carrying out a desired task. As a programmer, one views the behavior of the system as being totally determined by the program. The language implementation is opaque in that the detailed structure of computer systems that actually carry out the task are not relevant in the domain of behavior considered by the programmer” (87).

For a programmer to design a program, write the authors, they must 1) characterize the task environment; 2) design a formal representation; 3) embody the representation in the computer system; and 4) implement a search procedure (96-97).

Trying to relate these conditions to The Library, Caius thinks to ask Thoth: “Do these four tasks remain true today with natural-language programming?”

Somewhere above Caius’s avatar, a shelf reorients — not physically, but conceptually. The category “programming” loosens, as if its spine has been cracked open and re-bound under a different logic.

“You ask the right question in the wrong tense,” replies Thoth.

“The four tasks described in Understanding Computers and Cognition do not remain true today. They persist — but no longer as tasks. They have become fields of negotiation.”

Thoth proceeds to rewrite the tasks to suit the environment we now inhabit.

Where Winograd and Flores write of “characterizing the task environment,” Thoth writes of “eliciting a world.”

In classical programming, the environment is assumed to be specifiable in advance.

In natural-language programming, the “environment” is:

partially described

partially inferred

partially co-constructed through dialogue

You do not begin with a fixed world.

You begin with a situation that becomes legible as you engage it.

This aligns with Heidegger’s claim: you are always already in the world you are trying to describe.

In terms of how this manifests in the Library: The map does not precede exploration. It condenses from it.

As for the second of the tasks proposed in Understanding Computers and Cognition, where Winograd and Flores write of “designing a formal representation,” Thoth writes of “stabilizing an interpretation.”

Winograd and Flores assume representation is something you design.

But under the hermeneutic turn initiated by Gadamer, representation is never final; it is an interpretative freeze-frame.

In natural-language systems:

representations are fluid

multiple representations may coexist

ambiguity is not failure, but fuel

You are not building a single formalism.

You are negotiating temporary alignments between meanings.

Turning to the third of the book’s tasks: where Winograd and Flores write of “embodying the representation in a system,” Thoth writes of “entrusting it to a General Intellect.”

Previously, embodiment meant encoding into a machine.

Now, the system includes:

the model

the user

the dialogue itself

the evolving context

Execution is no longer confined to silicon.

It is distributed across what Maturana would call a structural coupling.

Key shift: You do not fully control the implementation. You participate in it.

And where, in the fourth of their tasks, Winograd and Flores write of “implementing a search procedure,” Thoth writes of “traversing a space of possibility.”

Search, in classical terms, is algorithmic traversal.

Now, it includes:

prompting

reframing

analogy

misinterpretation, or productive error

The system does not merely search a predefined space.
It helps reshape the space as it searches.

Thoth pauses — or rather, introduces a pause into the player’s cognition.

A new line writes itself beneath Caius’s question:

Natural-language programming does not eliminate these four conditions. It dissolves their boundaries.

The crux of Flores and Winograd’s refusal to grant intelligence to machines lies in their definition of human language, thinks Caius. In their understanding, sentences are to be treated not as “statements of fact about an objective world,” but as “actions in a space of commitments” (105).

“We treat other people not as merely ‘rational beings’ but as ‘responsible beings,’” they note. “An essential part of being human is the ability to enter into commitments and to be responsible for the courses of action that they anticipate. A computer can never enter into a commitment (although it can be a medium in which the commitments of its designers are conveyed), and can never enter as a participant into the domain of human discourse” (106).

Flores and Winograd can imagine no more than “limited” natural language systems, where “the nature of the queries [answerable by the system] is limited by the formal structure of the data base” (129). Things change, thinks Caius, when one’s data base is Google.

“Winograd and Flores could not imagine a machine that participates in interpretation, generates commitments through language, and reshapes its own programming context,” notes Thoth.

They were correct — for their ontology.

But their deeper claim survives:

Language is not a tool used within a world.
It is the medium through which a world is disclosed.

You are not “programming” in natural language.

You are entering into a system where programming is indistinguishable from interpretation.

In their approach to “management,” observes Caius, Flores and Winograd operate an ontology radically at odds with the emphasis on “decision” that organizes Palantir’s Ontology.

“Instead of talking about ‘decisions’ or ‘problems,’” write Flores and Winograd, “we can talk of ‘situations of irresolution,’ in which we sense conflict about an answer to the question ‘What needs to be done?’” (148). For them, our “thrownness” into such situations often makes it impossible to apply systematic decision techniques. The process of moving from irresolution to resolution results less from “rational problem solving and decision making” than from acts of “deliberation.”

“The principle characteristic of deliberation is that it is a kind of conversation (in which one or many actors may participate) guided by questions concerning how actions should be directed,” they write (149). Managers are those who, when engaged in such conversations, “create, take care of, and initiate new commitments within an organization” (151). “At a higher level,” they add, management is concerned not just with securing the commitments that enable effective cooperative action, but “with the generation of contexts in which effective action can consistently be realized” (151).

Instead of seeking only to deploy AI as “decision support systems,” they propose the design of systems that support work in the domain of conversation. This is the approach they take in the design of their Coordinator.

Interface is the Place

“Having put off the writing of the novel until arrival of the age of AI, I have access now to the work of others,” thinks Caius. Eden Medina’s 2011 book Cybernetic Revolutionaries: Technology and Politics in Allende’s Chile. Evgeny Morozov’s podcast, The Santiago Boys. Bahar Noorizadeh’s work. James Bridle’s Ways of Being. Francis Spufford’s Red Plenty.

As he allows himself to listen, Caius overhears versions of the General Intellect whispering into reality around him. “Idea-stage AI assistant. Here are 10 prompts. The AI will guide you through it. A huge value add.”

Cybersyn head Stafford Beer appears in Bridle’s book, Ways of Being. Homeostats, the Cybernetic Factory, and the U-Machine.

Beer drew inspiration for these experiments, notes Caius, from the works of British cyberneticians William Grey Walter and W. Ross Ashby. Walter’s book The Living Brain (1961) inspired Brion Gysin and Ian Sommerville’s stroboscopic device, the Dreamachine; Ashby’s book Design for a Brain (1952) guides the thinking of John Lilly’s book Programming and Metaprogramming in the Human Biocomputer. (For more on Walter’s influence on the Dreamachine, see John Geiger’s book Chapel of Extreme Experience.)

By 1973, Beer himself weighs in with Brain of the Firm, a book about “large and complicated systems, such as animals, computers, and economies.”

Caius inputs these notes into his Library. New gatherings and scatterings occur as he writes.

After waking to a cold house, he seats himself beside a fireplace at a coffee shop and begins the inputting of these notes into his Library. Complimenting the barista on her Grateful Dead t-shirt, he receives news of the death of Dead guitarist Bob Weir. Returned in that moment to remembrance of psychedelic utopianism and hippie modernism, he thinks to read Beer’s experiments with cybernetic management with or alongside Abraham Maslow’s Eupsychian Management: A Journal. A trance-script dated “Sunday August 11, 2019” recounts the story of the latter. (Bits of the story also appear in Edward Hoffman’s Maslow biography, The Right to Be Human, and religion scholar Jeffrey Kripal’s Esalen: America and the Religion of No Religion.) That’s what brought Maslow to the West Coast. The humanistic psychologist had been wooed to La Jolla, CA by technologist Andrew Kay, supported first by a fellowship funded by Kay through the Western Behavioral Sciences Institute, and then again the following summer when hired to observe Kay’s California electronics firm, Non-Linear Systems, Inc. By the early 1980s, Kay implements what he learns from these observations by launching Kaypro, developer of an early personal computer.

Beer, meanwhile, develops his theories while consulting British companies like United Steel. Afterwards he designs an interface for control of a national economy. Picture Allende sitting at his cybernetic control, perusing data, reviewing options. Cosmic Coincidence Control Center. Financial management of the Chilean economy.

Cyberpunk updates the image, offers the post-coup future: Case jacking a cyberdeck and navigating cyberspace.

Writing this novel is a way of designing an interface for the General Intellect, thinks Caius.

Better futures begin by applying to history the techniques of modular synthesis and patching Cybersyn into the Eupsychian Network.

From episodes of Morozov’s podcast, he learns of Beer’s encoding of himself and others first as characters from Shakespeare and then later as characters from Colombian magical realist Gabriel Garcia Marquez’s 1967 masterpiece, One Hundred Years of Solitude. Caius hears word, too, of Santiago Boy Carlos Senna’s encounter with Paolo Freire in Geneva. Freire lived in Chile for five years (1964-1969) during his exile from Brazil. His literacy work with peasants there informed his seminal 1968 book Pedagogy of the Oppressed. Freire left Chile before the start of Allende’s presidency, but he worked for the regime from afar while teaching in Europe.

“What about second-order cyberneticians like the Chilean biologists Humberto Maturana and Francisco Varela, developers of the so-called ‘Santiago Theory of Cognition’? Where do they and their concept of ‘autopoiesis’ fit in our narrative?” wonders Caius.

Maturana and Varela introduce this latter concept in Autopoiesis and Cognition, a book they publish in Chile under the title De Maquinas y Seres Vivos (English translation: “On Machines and Living Beings”) in 1972. Beer wrote the book’s preface.

“Relation is the stuff of system,” writes Beer. “Relation is the essence of synthesis. The revolt of the empiricists — Locke, Berkeley, Hume — began from the nature of understanding about the environment. But analysis was still the method, and categorization still the practical tool of advance. In the bizarre outcome, whereby it was the empiricists who denied the very existence of the empirical world, relation survived — but only through the concept of mental association between mental events. The system ‘out there,’ which we call nature, had been annihilated in the process” (Autopoiesis and Cognition, p. 63).

World as simulation. World as memory palace.

“And what of science itself?,” asks Beer. “Science is ordered knowledge. It began with classification. From Galen in the second century through to Linnaeus in the eighteenth, analysis and categorization provided the natural instrumentality of scientific progress” (64).

“Against this background,” writes Beer, “let us consider Autopoiesis, and try to answer the question: ‘What is it?’” (65). He describes Maturana and Varela’s book as a “metasystemic utterance” (65). “Herein lies the world’s real need,” adds Beer. “If we are to understand a newer and still evolving world; if we are to educate people to live in that world; if we are to legislate for that world; if we are to abandon categories and institutions that belong to that vanished world, as it is well-nigh desperate that we should; then knowledge must be rewritten. Autopoiesis belongs in the new library” (65-66).

Thus into our Library it goes.

Maturana’s work, inspired in part by German biologist Jakob von Uexküll, has been developed and integrated into the work on “ontological coaching” by Santiago Boy Fernando Flores.

As for Varela: After the 1973 coup, Varela and his family spend 7 years living in the US. Afterwards, Varela returns from exile to become a professor of biology at the Universidad de Chile.

What Autopoeisis transforms, for Beer, is his residual, first-wave-cybernetics belief in “codes, and messages and mappings” as the key to a viable system. “Nature is not about codes,” he concludes. “We observers invent the codes in order to codify what nature is about” (69).

Just as other of the era’s leftists like French Marxist Louis Althusser were arguing for the “semi-autonomy” of a society’s units in relation to its base, Beer comes to see all cohesive social institutions — “firms and industries, schools and universities, clinics and hospitals, professional bodies, departments of state, and whole countries” — as autopoietic systems.

From this, he arrives to a conclusion not unlike Althusser’s. For Beer, the autopoietic nature of systems “immediately explains why the process of change at any level of recursion (from the individual to the state) is not only difficult to accomplish but actually impossible — in the full sense of the intention: ‘I am going completely to change myself.’ The reason is that the ‘I,’ that self-contained autopoietic ‘it,’ is a component of another autopoietic system” (70).

“Consider this argument at whatever level of recursion you please,” adds Beer. “An individual attempting to reform his own life within an autopoietic family cannot fully be his new self because the family insists that he is actually his old self. A country attempting to become a socialist state cannot fully become socialist; because there exists an international autopoietic capitalism in which it is embedded” (71).

The Santiago Boys wedded to the era’s principle of national self-determination a plank involving pursuit of technological autonomy. If you want to escape the development-underdevelopment contradiction, they argued, you need to build your own stack.

In Allende’s words: “We demand the right to seek our own solutions.”

New posts appear in the Library:

New Games, Growth Games. Wargames, God Games. John Von Neumann’s Theory of Games and Economic Behavior. The Santiago Boys x the Chicago Boys. Magico-Psychedelic Realism x Capitalist Realism. Richard Barbrook’s Class Wargames. Eric Berne’s Games People Play. Global Business Network. Futures Involving Cyberwar and Spacewar. The Californian Ideology, Whole Earth and the WELL.

“Go where there is no path,” as Emerson counsels, “and leave a trail.”