thanks guys! On Sat, Sep 17, 2011 at 9:02 AM, Paul B. Hartzog < [email protected]> wrote:
For Brownian ( and other ) models of pedestrian ( and other) traffic flows Dirk Helbing is key. Early work is around 1998.
A Mathematical Model for the Behavior of Pedestrians Helbing at arxiv.org, 18 May 1998
Models for Pedestrian Behavior Helbing at arxiv.org, 13 May 1998
Self-Organization Phenomena in Pedestrian Crowds Dirk Helbing and Peter Molnár, "Self-Organization Phenomena in Pedestrian Crowds," in Self-Organization of Complex Structures: From Individual to Collective Dynamics, ed. F Schweitzer (London: Gordon and Breach, 1997). at arxiv.org, 11 Jun 1998
Social force model for pedestrian dynamics Dirk Helbing and Peter Molnar at arxiv.org, 20 May 1998
"Helbing’s (1992) mathematical model of the flow of pedestrians going into different directions, and thus unintentionally hindering each other’s movements, in the same way that molecules in a fluid collide with other molecules, thus producing physical friction." Helbing D. (1992) A Fluid Dynamic Model for the Movement of Pedestrians, Complex Systems 6, 391-415
"the behavioral force model of pedestrian motion" Self-organizing pedestrian movement Helbing, Molnar, Farkas, Bolay Environment and Planning B: Planning and Design 2001, volume 28, pages 361 ^ 383
“realistic traffic dynamics from which analysts using TRANSIMS Fire escape agent-based simulation (live simulation available at www.helbing.org” from Helbing, D., Farkas, I. & Vicsek, T. (2000) Nature (London) 407, 487– 490. mentioned in Agent-based modeling: Methods and techniques for simulating human systems Eric Bonabeau 7280 –7287 | PNAS | May 14, 2002 | vol. 99 | suppl. 3 www.pnas.org/cgi/doi/10.1073/pnas.082080899
Illes Farkas, Dirk Helbing, and Tamas Vicsek, "Crowd Behaves as Excitable Media During Mexican Wave," Nature 2002,
Also
Mark Granovetter, " Threshold Models of Collective Behavior," American Journal of Sociology 83, no. 6 ( 1978),
Dussutour, A., Fourcassie´, V., Helbing, D., & Deneubourg, J.-L. (2004). Optimal traffic organization in ants under crowded conditions. Nature, 428(6978), 70 – 73.
Eric Bonabeau, Marco Dorigo, and Guy Theraulaz, Swarm Intelligence : From Natural to Artificial Systems (New York: Oxford University Press, 1999),
Steven H. Strogatz, Sync : The Emerging Science of Spontaneous Order, 1st ed. (New York: Theia, 2003).
Self-Assembling of Networks in an Agent-Based Model Frank Schweitzer Benno Tilch re: Brownian agents vis a vis “internal degrees of freedom” at arxiv.org, 11 Dec 2002
hope that helps. it helped me :-) -p
On Fri, Sep 16, 2011 at 4:35 PM, Samuel Rose <[email protected]> wrote:
try this https://www.zotero.org/groups/forwardfoundation/items/collectionKey/X4UGSC2Q
On Wed, Sep 7, 2011 at 10:59 PM, Michel Bauwens <[email protected]> wrote:
any biblio for guidance?
On Thu, Sep 8, 2011 at 7:06 AM, Samuel Rose <[email protected]> wrote:
On Mon, Sep 5, 2011 at 3:50 AM, Michel Bauwens <
wrote:
thanks Sam,
this may be the case, but I see a lot of network theory literature, for example the much cited Reed's law, which ignores human volition ..
I can imagine. I think if you are interested in network theory, it is definitely worth knowing the complex systems thinkers from throughout the 1980's to present (if you do not already). Lots of great useful work there.
On Mon, Sep 5, 2011 at 12:14 PM, Samuel Rose <[email protected]> wrote:
On Mon, Sep 5, 2011 at 12:54 AM, Michel Bauwens <[email protected]> wrote: > Dear TOmas, > > This is quite important in my opinion with network theory finally > including > human volition and abandoning reductionism, > > I really hope you can look into this for discussion at our blog, > > see
http://gfbertini.wordpress.com/2011/09/03/wisdom-about-crowds/ ;
> http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss > > > Existing models of crowd behaviour do just that. They treat moving > masses > of humanity as though they were fluids. This works, up to a point. > But > it > often fails to predict the changes that happen as a crowd’s density > increases and its movement becomes chaotic. That is why Mehdi > Moussaid > of > Paul Sabatier University, in Toulouse, and his colleagues have made a > radical innovation. Instead of treating the individual human beings > in a > crowd as if they were molecules, they have treated them as if they > were > human beings. They have, in other words, given them volition. Of > course, > the > objective of someone in a moving crowd is usually fairly simple—to > get > somewhere and then stay there. But it is an objective, nevertheless. >
Unless I am really missing something, this is absolutely not anything new in the world of network sciences and complex systems science/modeling/theory. In fact, practically every agent based complex systems model applies simple rules to the agents and then runs the model to see what will happen. This goes all the way back to John Holland, Robert Axelrod, and others who pioneered complex systems models. Read the article on The Economist itself to see why I am having this reaction: http://www.economist.com/node/18584096?story_id=18584096&fsrc=rss
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