First day of the Academy of Management today and my session with Jim Hazy, Max Boisot and Pierpaolo Andriani was one of the first up. We'd got together for a meal the night before (less Max, plus Renata) and roughly sketched out what we were going to cover in between multiple enjoyable arguments health care, research methods, the validity of information theory and the like. The basic idea of the session was to look at new research methods associated with complexity. More on that tomorrow when I have had time to reflect a bit.
Given the time, I had to get a two minute overview of what complexity is about before I went on to describe abductive techniques and more specifically SenseMaker® . I did that with a side reference to the Children's Party Story and elaborated on the magnets and modulators metaphor. The main point I wanted to get across was that complex adaptive theory in human systems is different from in the physical world, or that of all animals without the capacity for metaphor based language (more on that tomorrow as well).
I have been arguing this for some time, and over the years have found various ways to express it. On this occasion I found a neat way of summarising the differences with three I-words relating to the individual, and 3 C-words relating to the community of collective. In outline it looks like this:
In respect of the individual human complex systems are differentiated by:
- Intention, in that humans can choose to do things for a range of reasons, many of which may not make sense for the individual. This includes altruism and sadism alike, its not a matter of some simple rule or primitive darwinism
- Identity is fluid for humans, we move between them with ease, often triggered by ritual and are capable of acting in several simultaneously.
- Intuition or as Prusak calls it compressed experience, references the way the human brain builds patterns of actual and vicarious (stories) experiences to allow rapid decision making under conditions of uncertainty.
In respect of the collective aspects of human interaction with other humans, their environments and ideas, complex adaptive systems are distinguished by:
- Cognition in this aspect means the distributed aspects of human intelligence and consciousness, our ability to interact with others to create entities that are more than the sum of the parts, and critically to formalise that capability (wisdom of crowds, crews etc.)
- Constraints references the ability to create/evolve social systems that provide constrains on actions, and also (through myths etc) on the way we think and act.
- Coherence is not only an important new concept in the area of evidence based strategy, but it relates to the human capacity to collectively reason about reason.
One of the many implications of this is the necessary limits of models, but that is for another day. Now I am not going to wall for the above, its a consolidation of a few years of thinking and it probably isn't right yet. I do want to break away from having complexity theory interpreted solely in the lights of post-Shannon information theory and/or models that work for termites nests but are contextually inappropriate for human systems. All of that needs more work, but its very important.
Comments (7)
Dave,
Once I reread the history of cybernetics as written down by Catherine Hayles (http://www.press.uchicago.edu/presssite/metadata.epl?mode=synopsis&bookkey=3638798). In one of the early chapters she reviews the Macy conferences that were held after WWII from 1946 until 1953. See wikipedia.
From that book I learned that Shannon (who focussed on capacity of a channel and the effect of noise) had an adversary named Donald McKay who defined information as "data that induced a change in the recipient". A definition of information that resonates quite well with me :-) as it is much closer to sensemaking. I wished I had access to Cf. Donald M. MacKay, 'The wider scope of information theory', in Machlup and Mansfeld, The study of information, 485-492; esp.486-487 or http://www.springerlink.com/content/g73445hv06507327/ where one speaks of a relation between mechanism and meaning.
But now back to the story: Because of the pro's that were seen by the military and IT industry in Shannon's information view, McKay and coworkers have been marginalized in the following decades. Most of the research money went (as we all know) into information processing and AI, the latter with no mentionable results BTW. This repression of McKay's view is still visible today from the fact that most of the traces of his presence at the Macy conferences have been wiped out.
PS: The "data" in McKay's definition is not what we today generally call data, it includes signals such as light striking the eye and has therefore lots of connections with articles like "What the frog's eye tells the frog's brain" by JY Lettvin, HR Maturana, WS McCulloch, WH Pitts (Proceedings of the IRE, 1959).
Posted by Harold van Garderen | August 7, 2010 12:54 PM
Posted on August 7, 2010 12:54
Interesting reading, as always.
I'm not arguing with your thesis, on the contrary I support it, but regarding Intention I paused to think what difference to a human complex system Intention would actually make compared to a non-human one, if we accept that human intentions aren't always predictable, and as you stated: "...humans can choose to do things for a range of reasons, many of which may not make sense for the individual."
Wouldn't that mean that the unpredictability of human actions, considering they're often counter-intuitive and/or illogical from the systems perspective (they might feel/be logical from the individual perspective), essentially returns the human system back to the dynamics of a non-human complex adaptive system, where no such Intention is exhibited by the agents?
In short, if the actions of both human and non-human agents in a system are largely unpredictable, from the systems dynamics point of view, how does human intention make a human complex adaptive system different form a non-human one?
The answer may be obvious, I don't have enough theoretical background to deduce it, but it's something I've been thinking about for a while, and your blog entry reminded me of it.
Posted by Mika Latokartano | August 7, 2010 1:45 PM
Posted on August 7, 2010 13:45
In 'Ulysses and the Sirens' Jon Elster makes the point that people can decide to go through a sub-optimum point to reach a higher state (reculer pour mieux sauter), but that natural systems cannot have such intentionality e.g. biological systems will always hill-climb. This is caught under your intention heading but (for me anyway) it makes the human/natural distinction very clear.
Posted by BrianSJ | August 7, 2010 6:10 PM
Posted on August 7, 2010 18:10
Agreed, the distinction as such is clear, I was thinking more about the practical implications of the differences in the dynamics of a complex system with agents exhibiting (human) cognitive behavior vs. minimally cognitive behavior like ants, and whether it make a difference from the systems dynamics point of view what prompts the agent in a system to choose a particular action. And if it does, what does it mean from the sensemaking point of view, and working in an organization exhibiting complex behavior.
Perhaps from the practical point of view and the way I understand it (rightly or wrongly), the human factor in the cognitive behavior of an agent allows us to make localised behavioral predictions about the human complex system, how people would be likely to act in a given environment and a situation. It gives us boundaries/constraints, guides us in creating Probes for safe-fail experiments in a complex system, and in determining the amplification/dampening strategies (re Dave's excellent Cynefin video on YouTube).
Posted by Mika Latokartano | August 8, 2010 11:12 AM
Posted on August 8, 2010 11:12
My point on intention was a contrast with modeling of natural systems, herding, flocking, ants responding to scent etc. In effect I am talking about simulation capability (and of course simulation and prediction should not be confused).
Posted by Dave Snowden
|
August 8, 2010 1:08 PM
Posted on August 8, 2010 13:08
I think the unpredictibility can arise from the relationship between identity and intent. I.e. which identity I am adopting at a point in time may cause my intentions to change. This is also where systems dynamics can break down in a complex environment, a model that works for one identity can breakdown when the actors change their identities. For example some event can cause a shift from a "product team member" identity to an "union member" identity causing a different impact on the system. When you factor in many possible identities it becomes to much for a systems dynamics model to handle.
Posted by Dave Noll | August 9, 2010 11:02 PM
Posted on August 9, 2010 23:02
Agree that with Intention (humans have agenda's)
http://johntropea.tumblr.com/post/183217248/organisations-are-not-systems-at-all-not-living
I like Chris Rodgers perspective:
http://johntropea.tumblr.com/post/945825463/organisations-are-not-complex-adaptive-systems
"To treat an organization as a CAS would require...a set of rules would need to be imposed by someone outside the system boundary (as with the ‘programmer’). And those rules would have to be followed precisely and without exception. Unfortunately (or fortunately, perhaps) these conditions don’t apply. First, managers (the presumed programmers) are not external observers and controllers of other people’s actions; they are involved participants. Secondly, people don’t tend to follow rules, simple or otherwise. Issues of power, ideology, self interest, emotion and identity etc are always in play. Thirdly, organizations are not systems, in the sense that this is usually meant. Amongst other things, they don’t have boundaries. And, whereas a hand, say, (as part of the human body) can’t function if it is cut off from the body as a whole, an individual can – and does – function independently of ‘the organization’”
I took some notes on Steven Johnson's book on emergence:
http://johntropea.tumblr.com/post/66695900/emergence-steven-johnson-p97-99
“it’s very hard to imagine any human society in which people would go around responding to what happened at that moment without any conception of why they’re doing”
Interesting...that like ants we are often ignorant of the macro picture we are assisting to emerge
"Human behaviour works at two comparable scales…driving a car has short-term and long-term consequences.
The short term influences whether we make it to soccer practice on time; the long term alters the shape of the city itself.
We interact directly with, take account of-and would seem to control-the former. We are woefully unaware of the latter"
We can't be compared to cells, yet the irony is this is what we are made of
http://johntropea.tumblr.com/post/66413249/one-group-of-cells-may-be-the-beginning-of-an
Lots of reading for me to do on CAS - rhizomes, stigmergy, autopoiesis
http://www.delicious.com/johnt/stigmergy
http://www.delicious.com/johnt/autopoiesis
Posted by John Tropea | August 19, 2010 3:12 AM
Posted on August 19, 2010 03:12