So what does it mean to move to the middle?
It seems to mean more than just a shift in point of view, but it is that as well. Indeed, it is a recognition that there actually is a point of view. Definition from outside the system inward is the attempt at a null-view, an objective view. It seeks to efface the viewer, to remove the human from the vision. It is an impossibility. We always look from a point of view, in all the meanings of that phrase: physically, mentally, socially. There is no other way to look, and moving to the middle forces us to accept that.
When we move to the middle of a system such as Connectivism in order to define it, then we start with the DNA of the system PLUS whatever DNA we bring. For instance, as I am working out the definition of Connectivism, I contribute my understanding of Deleuze and Guattari's rhizome, as does Dave Cormier. I don't know that not everyone is particularly happy about this rhizomatic influence, but it is really impossible for me (I won't speak for Dave) to snip away the bits of DNA that I have absorbed from Deleuze and Guattari. I also bring my thoughts about Morin and complexity and my thirty years of teaching English composition. I probably also bring in bits of nucleic acid from the 60s and my life as a father and husband. My very presence in the middle of Connectivism rearranges the space. You can say this pollutes the space, the purity of the idea, but I don't know what that gains you. It's simply impossible for me to be in here without tracking some of my DNA about. Likewise, you can't be in here without making your contribution, and as I work to define Connectivism, I have to account for your DNA as well as mine and all the others.
Now, I've mixed metaphors (point of view and DNA), but I'm comfortable with it. They both work for me.
But what about the point of view from the middle? Well, the boundaries look very different from inside. For one thing, they are not nearly so distinct as they are from the God point of view, which can delineate quite nicely the boundaries of Cognitivism, Behaviorism, Constructivism, and Connectivism. The God view can then apportion what belongs to each: Oh, talking about human agency? That belongs to Cognitivism, not Connectivism. You network guys can't talk about that. From the middle, I can look out at anything, and the question becomes not what issues belong to which system but what can I see differently from this system than from the other systems. Connectivism can look at human agency and quite likely say some things about it that are not so easily said from the other systems.
I like to think of it visually. Imagine four vantage points in a wilderness (pick your flavor: desert, forest, or tundra), and label them Behaviorism, Cognitivism, Constructivism, and Connectivism. Each vantage point brings certain ad-vantages, showing us things about the wilderness that we could not see or not see so well from the other vantage points. Each vantage point has its distinct uses. None of them give the complete picture. Each of them can give us a better idea of how to get where we are going, depending totally on where we are going.
I must apologize here for the slight trick I just played. In visualizing the four vantage points, I gave you a God view, a point of view you could not in reality have unless you were in an airplane or you were … well, God. Still, the fact that you could imagine such a point of view shows that this point of view has its uses. However, this point of view is always secondary to the anchored points of view. I pick up this insight from a wonderful statement by Bruce B. Janz in his essay The Territory Is Not the Map: Place, Deleuze, Guattari, and African Philosophy where he says that place precedes space. Well, what he precisely says is: "I want to argue that place, the place we find ourselves in and which has meaning to us, precedes space, the bounded and abstractly defined territory." Isn't that clever? I'm glad I came across it, as it clarifies things for me.
What it says to me is that space builds upon place. I must have a sense of place before I can develop a sense of space. Place comes first. From a sense of concrete place, I can eventually develop a sense of space, but not the other way around. From my sense of Macon, Georgia, USA (where I have lived the longest), I can develop a sense of the large space that encloses that place, but it seems to me, I am always working from the inside out: from place to space. I am always standing in one place looking out to the cosmos. I can imagine looking at the Universe as God might, but it really is only a fictional point of view always grounded in my sense of place.
Let's look next at the characteristics of Connectivism that Siemens listed, working from the inside out. Could be fun.
Thursday, March 15, 2012
Place Precedes Space, #cck12
Tuesday, March 13, 2012
The Least to Say about Connectivism, #cck12
I said earlier that a definition is about the least that we can say about anything—teacups, for instance. This does not mean that we shouldn't say the least that we can say. What it means is that this is the barest of starting points. This is the point at which we begin picking ourselves up by our bootstraps to create meaning out of almost nothing. This is the DNA—the arrangement of "discrete units, empty of meaning (like phonemes or letters of the alphabet), combining into complex units, carriers of meaning (like words)" (On Complexity, 13). As Morin says of information: "Information is not an end-of-the-line concept, but rather, a point-of-departure concept" (14). As he says later, we must learn to define from the center out, not from the outside in.
So what is the least that we can say about Connectivism or Rhizomatics? Let's start with what Siemens says about the basic principles of Connectivism in his online book Knowing Knowledge (2006):
- Learning and knowledge require diversity of opinions to present the whole … and to permit selection of best approach.
- Learning is a network formation process of connecting specialized nodes or information sources.
- Knowledge rests in networks.
- Knowledge may reside in non-human appliances and learning is enabled/facilitated by technology.
- Capacity to know more is more critical than what is currently known.
- Learning and knowing are constant, on going processes (not end states or products).
- Ability to see connections and recognize patterns and make sense between fields, ideas, and concepts is the core skill for individuals today.
- Currency (accurate, up-to-date knowledge) is the intent of all connectivist learning activities.
- Decision-making is learning. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality. While there is a right answer now, it may be wrong tomorrow due to alterations in the information climate affecting the decision.
- connection,
- heterogeneity,
- multiplicity,
- asignifying rupture,
- cartography, and
- decalcomania.
Sunday, March 11, 2012
Teacups and CCK12
I said yesterday that a definition is about the least you can say about something. My wife and I had friends over today, and the talk turned to teacups and my wife's impressive collection.
The Net defines a teacup as: a cup from which tea is drunk.
I don't know about you, but I can hardly imagine saying less about a teacup, but I can imagine saying more.
When my family arrived in Nassau for the summer break from teaching, we were always greeted with a cup of tea. We would unload the bags in our bedrooms, and by the time we had returned to the family room, the tea was on, usually accompanied by a slice of Ma Gwennie's pound cake, a rich, buttery bit of yellow heaven that melted on the tongue and in the heart. All the family would usually pop in to greet us, and before the pot was finished more water was brewing. My boys learned to love their Nassau family over a cup of tea.
An auntie gave us a particularly beautiful Tuscan teacup not long before she was diagnosed with breast cancer. A sister-in-law gave us several teacups from the collection of her grandmother who had passed away in Idaho at the age of 100. A dear friend returned from a cruise of the Rhine River with a teacup. My father returned from the Ukraine with a set of teacups. My dear mother-in-law left her entire Shelley collection to my wife in her will. Those teacups are precious.
Just this afternoon, I served tea to my wife, sister-in-law, and a couple of cousins from the Bahamas. Honestly, the teacups were not the center of conversation, but they were witnesses. So much of the life of my family has flowed through teacups.
And this doesn't even begin to cover all the things that a maker of fine porcelain could tell you about clay, calcined bone ash, molds, casting, firing, and glazing. You could spend years becoming a master craftsman, and quite likely, even if you were gifted as well with words, you could not define teacup as you really know it.
A dictionary definition, then, is an example of what Edgar Morin calls simple thought. Such thought is convenient and handy, and sometimes it is sufficient for the need, as Dave Cormier explains in his post about the Cynefin framework of Dave Snowden. But simple, dictionary definitions are not sufficient for complex, open systems such as Connectivism and Rhizomatics. This, I think, is why Cormier and Siemens do not want to define either concept.
Still, people want to know what they are talking about when they say Connectivism or Rhizomatics, and they are reasonable to ask for definitions. How, then, does one define without reducing to an almost meaningless statement? I like this question. Leia Mais…
Saturday, March 10, 2012
Defining Connectivism, #cck12
This past Thursday night, I checked in on the CCK12 online session about one of my favorite topics: complexity. When George Siemens opened the session for questions, I raised my hand to ask him if he has had to change the way he defines Connectivism, given that it is itself a complex, open system for studying complex, open systems. As too often happens in an open forum, I did not frame the question well, and George seemed to think I was asking for a definition of Connectivism. That wasn't my intention, so let me reframe the question here. I think it's important.
What I want to get to is the problem of defining complex, open systems. This issue has been popping up from time-to-time from lots of different people and in different contexts. It seemed especially contentious in Dave Cormier's recent discussion of rhizomatics. Lots of people pressed Dave to define rhizomatic thinking, and he did an admirable job. People also press Siemens and Downes to define Connectivism, and in Thursday's session, George noted that he has made a number of statements about what Connectivism is throughout his writing, but that basically he doesn't like to define it too precisely.
That isn't a bad tack: just don't define it. Let the concept work itself out, or not. Perhaps that's the tack we should take with rhizomatics, but I agree with Deleuze and Guattari that if we don't say something, then we will not be convincing. But how do we define Connectivism or Rhizomatics?
I think the problem begins with the act of definition itself. In brief, it seems to me that our habits of definition are informed by the reductionism that has characterized Western intellectual life for the past 300 years. I think we need a new way of defining, a new procedure. I'm certain that someone has dealt adequately with this issue already, but I'm not aware of who has done it or what they have said. If someone will send me a reference, I will be most appreciative.
Anyway, we can start with the simple definition of the word define taken from an Internet dictionary, and we can immediately see the problems (and yes, I am aware of the irony of starting an attack on definition with a definition):
- to determine or identify the essential qualities or meaning of.
a : to fix or mark the limits of : demarcate; b : to make distinct, clear, or detailed especially in outline.
For instance, consider the definition of the word innuendo by the dictionary: an allusive or oblique remark or hint, typically a suggestive or disparaging one. Now, consider Wallace Stevens' use of the word in his poem Thirteen Ways of Looking at a Blackbird:
I do not know which to prefer,
The beauty of inflections
Or the beauty of innuendoes,
The blackbird whistling,
Or just after.
There is nothing more to say about the dictionary definition of innuendo, but I'm still learning about Wallace Stevens' definition. The dictionary definition creates a closed entity with clear, fixed boundaries, an inert nugget, the ideal item for a multiple-choice question on a middle school English quiz. The Stevens' definition creates an open entity with permeable, active boundaries, a rhizome. It is anything but a multiple-choice answer. We very well may write about Stevens' meaning for the next few centuries.
Connectivism needs this second kind of definition. I think Morin has something useful to say here, and I'll take that up next in a next post. G'night.
PS: I just looked at Dave Cormier's latest post, and I see that he is tackling the same issue as I. What happy serendipity. Dave starts with Snowden's Cynefin framework, a concept that I intended to tackle in a later post, but now Dave has done most of the thinking for me, and he's spot on, so I'll just rip, mix, and burn. Further, I sense that he, too, is unhappy with the process of defining Rhizomatic learning, at least in the terms that most people seem to demand. Nice. Leia Mais…
Sunday, March 4, 2012
Connectivity and Open Systems, #cck12
Sometimes you follow a line of thought like a crack in the ice, excited to see where it goes but also wondering if all break-throughs are such a good thing.
Anyway, in my last post I tackled the issue Frances Bell posited about "the connections between humans and non-human in understanding learning," and I suggested that Morin's concepts of open and closed systems might contribute in some way. An open system, by Morin's definition, exchanges energy, matter, organization, and information with its eco-system, which includes both closed and open systems. This exchange makes for a stabilized dynamism that is self-organizing and in some fashion aware of its environment. By awareness, I mean that the open system—an amoeba or a sunflower or human—can perceive changes and options in its environment and make choices that help it respond to those changes. For instance, an amoeba can perceive a drop of acid in its petri dish and can turn away. It seems to me that most open, living systems have relatively few perceptions and choices, but as we move toward more complex systems, we can see an increase in the relative number and variety of perceptions, choices, and responses, but this might be an entirely chauvinistic bias on my part. Amoeba may live in a world as rich with potential as mine is. I don't know. Anyway, we humans commonly believe that the dynamic relationships between the open, living system and its eco-system become more complicated and more nuanced, more distanced from a simple stimulus-response, though never losing that simple basis for interaction. In other words, stimulus-response always remains necessary for explaining the behavior of living systems, but it seems to become less sufficient an explanation as we move toward the human.
The open system, then, participates in defining itself in and through its interactions with its eco-system, and it participates in graduated degrees from the most simple life form to the most complex, us humans. Again, my chauvinism is showing. The open system starts, of course, with a given configuration of energy, matter, organization, and information from its genetic parents, but it can modify that basic configuration as it interacts with its eco-system.
The task for the open, living system is to constantly monitor its environment and to open itself to good things in the environment and close itself to bad things. Open systems have evolved different mechanisms for opening and closing themselves to manage the flow of energy, matter, organization, and information between themselves and their environments—in other words, to manage their connections—but they all seem to have some mechanism. We humans appear to have quite sophisticated mechanisms, including the ability to develop new mechanisms. This constant opening, closing, and reopening of the self effectively makes the boundaries between the individual open system and its environment dynamic, malleable, and porous, and it effectively changes the way we should define the individual. Traditionally, we have defined open, living systems from their skin, hide, cell wall inward. Now, as Morin shrewdly observes, we must define living systems from their center outward, knowing that the skin, hide, or cell wall is porous and that the boundary between the individual and her eco-system is open to negotiation, growth, and dynamic shift.
This negotiation, this interplay between the individual and its environment, introduces the concepts of intentionality and power for me. When an amoeba swims forward into a drop of acid, it has a choice to make: continue forward into a bad environment or swim away into something better. Its decision to move away forms the rudiments of intentionality and power. While the amoeba's decision may be much closer to an automatic stimulus-response kind of decision than to the complicated moral choices that humans make, it is the bedrock of intentionality and power, the sort of bedrock that a stone, for instance, does not have. As far as we know, a stone has no choices.
This allows me to distinguish between force and power. A stone has force, but no power, at least not as I am using the terms. If moving, a stone can strike another thing with force, and if the stone is bigger and harder and, thus, carries more force, then it demolishes the smaller thing, or if the other thing is bigger and harder and, thus, carries more force, then the stone is demolished. As open, living systems, we humans have force, but we also have power. If I encounter you, then I exert a gravitational force on you that does not depend on my intention, but if I hit you or hug you, then I have exerted a power on you that is dependent on intentionality. Force is independent of power; whereas, power emerges from force. Because power is an emergent property of open, living systems, force is not sufficient to explain power, though understanding force can clarify power. Power functions at a more complex level than force, and as such, it has rules and capabilities and implications that force does not.
I'll worry later about the differences between force and power, but I want to shift now to talking about humans, non-human appliances, learning, and how they all connect before I get any further out on this very thin ice.
It seems to me that much of what we humans do as open, living systems is learn about our environments: we learn what good things to connect with and bad things to avoid. Infants start learning early what to put into their mouths, what not; what to stick their fingers into, what not; when to sleep, when not; when to cry, when not. They learn to distinguish good energies and matters from bad and to choose appropriately, but infants also start learning very early about organizational and informational exchanges and how to distinguish the good from the bad. They learn family and not-family, group and not-group. They learn truth and lie, how to get to school and how not. The various connections or flows that humans cultivate or deny begin to redefine who they are. The physical, genetic substrate for any individual remains, of course, but it is not sufficient to sustain the individual, or to define them. The sustenance and definition of an individual depends as much on the interactions with the individual's eco-system as it does on the core genetic material that the individual starts with. Perhaps sustenance and definition depend more on our connections. At any rate, our connections are indispensable, and we cannot understand ourselves without understanding those connections. Our meaning emerges in our dynamic connections, and these connections seems to inevitably involve matters of intentionality, power, and learning.
When closed systems interact, we can describe the interactions as forces and regularities, but when open systems interact, even with closed systems, then we must add power and intentionality to the description, especially if we are looking at the interaction of two or multiple open systems—a student and a teacher, for instance, or a shopper and a recommendation engine.
To my mind, then, the connection between a shopper and a recommendation engine always involves intention on the part of both, but that intention cannot be understood apart from the connection. Yes, each individual brings core characteristics such as emotional dispositions and programs, but the intention of each emerges in the interaction of the two, as each shapes the other, learns the other and learns the rules of the interaction. This way of viewing intentionality is reminiscent of Randall Collins' treatment of the situation as defining the individual, rather than the other way around. In his book Interaction Ritual Theory (2004), Collins says:
We get more by starting with the situation and developing the individual, than by starting with individuals; and we get emphatically more than by the usual route of skipping from the individual to the action or cognition that ostensibly belongs to him or her and bypassing the situation entirely. … The human individual is a quasi-enduring, quasi-transient flux in time and space … This is not to say that the individual does not exist. But an individual is not simply a body, even though a body is an ingredient that individuals get constructed out of. My analytical strategy … is to start with the dynamics of situations; from this we can derive almost everything that we want to know about individuals, as a moving precipitate across situations. (3,4)I like that. An individual is a moving precipitate, a nexus for the dynamic connections it attracts, carries, sustains, and abandons on its nomadic way.
Well, I let this sit overnight for a fresh look, and I don't think the crack in the ice took me where I thought it would, but I'm okay with that. I'll let this stand. I wanted to think about an issue I hadn't really thought about before: the connections between humans and their non-human appliances, and I did a bit of thinking. Did I reach a conclusion? Nothing that I'm willing to bet on, but I did lay some groundwork to continue thinking. I think relationships between humans and smart machines cannot be explained simply in terms of amoral force. The machines themselves are coming to simulate open systems so well that we must begin to relate to them as open systems. This necessarily involves intentionality and power, and Connectivism which focuses on connections must recognize this intentionality and power and offer an explanation for it, or at least an examination of it. Leia Mais…
Tuesday, February 28, 2012
Human and Non-human Connections, #cck12
I want to continue using comments from a discussion I've had with Frances Bell, mostly on Dave Cormier's blog. Let me note up front that I have not understood Frances particularly well, or perhaps a more forgiving way to say it is that I am having to learn what she means, and I don't always do that before I speak. It's a bad habit, but thus far, she has been quite generous with me.
At the end of her comment on Dave's post, Frances introduced two very interesting topics that I've been edging toward through my last two posts:
- the connections between humans and non-human in understanding learning, and
- power relations in networks, especially "where the machine is seen as amoral and humans as 'democratised.'"
The concept of knowledge resting in non-human appliances (mediated by artificial intelligence or directed by intelligent agents) is controversial. As with the discussion on context-games, how one defines knowledge largely determines whether one will accept this definition. As I mentioned in the preface, I have largely avoided the use of the word information in this text. It could be well argued that all knowledge is simply varying shades of information, and information itself is transformed into knowledge when we have a personal relationship with it (i.e., we internalize information). This discussion, from my perspective, is unnecessary for the purpose of this book. In order to have any practical discussion of information and knowledge, we need to discuss it as if it is something that a) describes some aspect of the world, and b) something on which we can act. This simple definition provides the basis for viewing knowledge as being able to reside in non-human appliances.Of course, this is too short a selection to be taken as a definitive statement of Siemens' position, but it can be a useful point of departure for my own thoughts. First, I notice a tension in how Siemens situates knowledge in an appliance, by which he seems to be suggesting modern, electronic appliances with artificial intelligence and intelligent agents. In his principle and then again at the end of the footnote, Siemens says that knowledge can reside in non-human appliances. He compliments the verb resides with resting when he says that "the concept of knowledge resting in non-human appliances … is controversial." To my mind, reside and resting suggest a passive holding place for knowledge, and this is very old hat indeed. We've been using non-human appliances such as cave walls, clay tablets, and papyrus scrolls to hold knowledge for millennia, both as extensions to our memories and vehicles for communication. Nothing new here. Of course, we can store more information in smaller spaces than before and we can share that information more readily with more people, and those are important differences, but they seem to me differences of degree rather than kind.
What is new is captured in Siemens' verbs mediated and directed. I don't know how active a role George is positing here for non-human appliances—and the meanings of these two particular verbs could be slanted either way toward more or less activity—but this is a difference in kind from the non-human knowledge appliances that came before, or so it seems to me. One of the virtues of a printed book is that it does NOT interact with the text, with the information contained within its covers; rather, the book preserves unaltered the text so that what I read today is the same as what I read yesterday (minus my own marginalia) and the same as what I will read again tomorrow. The text is static. Today, text is dynamic—along with other forms of information/knowledge such as image, number, audio, and so on (allow me to use information and knowledge interchangeably for a moment). Few these days will visit a third time a web page that hasn't changed, and while those changes are still mostly made by humans, they are increasingly being made, mediated, and directed by non-human appliances. This represents a fundamental shift in the relationship between human and the non-human knowledge/information appliance.
I see this difference most clearly in terms of Edgar Morin's distinction between closed systems and open systems. A stone is an example of a closed system: it is self-contained, needing next to nothing from the eco-system to maintain and persist as it is. Life forms, including humans, are examples of open systems: they are not self-contained, but absolutely require a dynamic exchange of energy, matter, organization, and information between themselves and their eco-systems to persist as living forms.
A book is more like a closed system (not completely closed, as I will argue another time, but for now, let's just say it's more closed); the recommendation engine on Amazon is more like an open system. The book does not take in more energy or information, process it, rearrange itself according to the inputs, and release new energy, information, and waste into its eco-system. This is not to say that the book is not a dynamic system. It is. Rather, the book is dynamic more in the way a stone in a stream is. Dynamic eddies and swirls develop, shift, grow, and wane as the water rushes about the rock, but the rock does not take in those as inputs. It just remains what it is until stronger outside forces push it into being something else. We want something similar from our books. We want them to stay put as they are. Just try re-writing Huckleberry Finn to see what a fuss you will raise.
The Amazon recommendation engine, on the other hand, does take in information and energy from its eco-system. It then processes that information, rearranges itself accordingly, and releases new energy, information, and presumably waste into its eco-system. This engine is more like a rather single-minded amoeba, or maybe a pigeon. I'm not sure how high up the intelligence ladder to go, assuming there is such a ladder, but this non-human appliance is able to monitor its environment, take in information, recognize options, make regular judgements based on that information, and release new information into the eco-system, which then becomes part of the reiterative feedback into the recommendation engine. Like all life-systems, the Amazon recommendation engine has the ability to self-organize, or simulates that ability very, very well.
Interacting with an open-system appliance is different from interacting with a closed-system appliance, or it sure feels different. But if so, then how? Let's think on that for a day and talk about it tomorrow.
Leia Mais…
Sunday, February 26, 2012
Intentionality in the Rhizome, #cck12
Yesterday, I tried to explain why I think that Connectivism may be guilty of focusing too much on the network and not enough on the individuals in the network. I suggested that Edgar Morin may have the correct stance: it isn't either the network or the individual; rather, it's each that must be accounted for in the examination of the other.
This is not some philosophical compromise or a happy medium in which opposing viewpoints each get a little something to save face; rather, it's a radically different way of viewing reality. I'll explain by starting with an objection to something that Frances Bell said in reply to my comments about intentionality being another point of entry into the rhizome: "I agree that intentionality emerges from more than just an individual ‘forming intentions’ and to some extent may be seen as a local network effect." To be fair, this is basically an introductory statement to her real point about connectivism overplaying the network effect, so I do not suggest that it adequately expresses Bell's point of view, but I can say that it represents the common view about human cognition, including intentionality. For most people, intentionality is a function of the individual brain or mind, even if it involves some local neural networks. If we want to understand any given intention, then we need only look to the individual who has, or creates, or forms, or expresses that intention.
I disagree with this point of view. I insist that if we look only to the individual, then we simply cannot understand the intention. Why? Because as Olaf Sporns says in his book Networks of the Brain, cognition is a function of networks. Olaf devotes much of his book to the neural networks that are the most obvious scale of the networks that support cognitive activity such as intentionality, but he quite clearly opens the discussion to the networks functioning at higher and lower scales. Networks depend upon other networks and form the basis for yet more networks. Limiting a study to one scale can be a useful fiction that allows for great focus and parsimony, but it is not reality—it's a fiction. And I say that in the very best sense of the term and with the utmost respect for fiction. I happen to believe that good fiction is the best we humans can do.
But … I start to wander.
Back to intentionality as a function of the individual. We simply cannot reduce intention (or any other cognitive function, such as learning) to the given individual said to be forming the intention or doing the learning. We can understand any given intention only as the complex interaction of an open system (the individual) with its eco-system. As an open system, any individual is defined in great part by the flow of energy, matter, organization, and information between itself and its eco-system. While the brain of the individual forms a necessary substrate for intentionality, it is not sufficient for intentionality. Rather, intentionality requires the dynamic interaction—what Morin calls stabilized dynamics (On Complexity, 11)—between the individual and his physical, social, emotional environment. Morin goes on to say that "the intelligibility of the system has to be found, not only in the system itself, but also in its relations with the environment, and that this relationship is not a simple dependence: it is constitutive of the system. Reality is therefore as much in the connection (relationship) as in the distinction between the open system and its environment" (11). Thus, if we want to understand anyone's intentions, then we must understand not only their individual reasoning but also the dynamics between them and the world. It's an impossible task to understand even one single intention completely, a human condition for which I am most grateful. We will never have an end to learning. Never. There are simply too many connections to follow, and each intention is the nexus of innumerable arcs, trajectories, flows, and asignifying ruptures.
But, God, can we create some magnificent fictions, full of real insight, beauty, and helpful hints about reality. If Deleuze and Guattari are correct, then we use cartography and decalcomania to accomplish these fictions.
So to sum it all up: yeah, it's all in the connections. Probably even more so than Siemens and Downes know or can imagine. Those connections, of course, include non-human, even non-living, entities.
But the Oscars are on, and my wife wants me to watch them with her, so let's talk tomorrow about how cartography and decalcomania aid the individual in managing the flow of organization and information between the individual and her world.
