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all outcomes are equally likely. The aim is 'to explain more by saying less', or at least start by saying less and see how far that takes us (c.f. Farmer et at (2005)). The principle that many market outcomes are determined more by the objective social structure than the particulars of individual rat
reverse conditions and return to the start point. Such phase change behaviour can be modelled within non-linear dynamics and chaotic systems, see Strogatz for example [Strogatz 2000]. It remains the case that claims that equations (4.5h) and (4.6g) are equations of state, rather than simple accounting
pproaches, with lots of practical examples, is 'Nonlinear dynamics and Chaos: with Applications to Physics, Biology, Chemistry and Engineering', by Strogatz [Strogatz 2000], a good alternative is Hirsch, Smale & Devaney [Hirsch et al 2003]. Prior to either of these books, chapter eight of Keen gives a ve
t dissimilar (and a bit more fun) than the diagrams found in comparative statics. Jacobian matrices, for example, appear a third of the way through Strogatz. Although dynamic systems can be very complex and are often mathematically insoluble, there are standard approaches to analysing these systems, and
or the moment almost all the research on liquidity, other than that carried out by econophysicists such as Bouchaud, Potters, Mezard, Wyart, French, Farmer, and others, has been carried out against the traditional models of Debreu, Arrow, et al, and I am obliged to follow this in my review. 220 EFTA0
a Chli with regard to producing simulations of my models proposed in 2006. The exchange model proved difficult to construct. However, in March 2010 Maria and George produced the first Matlab model for me based on the GLV model in the second part of my 2006 note. Somewhat to my surprise, this produced
iting to keep things easy to follow. An alternative work by Hirsch, Smale & Devaney is also very good [Strogatz 2000, Hirsch et al 2003]. Following Strogatz or Hirsch, the works by either Britton or van den Berg move into the mathematics of more complex biological systems, where the Lotka-Volterra forms
good brief introduction to chaotic systems, Ruhla also gives an excellent introduction with a little more maths. 'Nonlinear Dynamics and Chaos' by Strogatz is an extraordinarily well written book, giving a full understanding of highly complex systems, including the mathematics, while using lots of clear
ant control parameters crosses a threshold. Doyne Farmer of the Los Alamos’s Prediction Company once said
a discontinuous and qualitative change in the dynamical (time-dependent) pattern of the observable (Guckenheimer and Holmes, 1993; Wiggens, 1990; see Strogatz, 1994, for a particularly intuitive description). Qualitative here means how the dynamics of the trajectory appear as a geometric-topological (relati
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