Complexity, or "Chaos Theory", has had a
significant impact
on the physical sciences, while evolutionary analysis has
spread its influence from biology to many fields of
endeavour. Recently, researchers in the disciplines of
economics, finance and marketing have begun to apply these
concepts, frequently generating results which are at odds
with those derived from traditional, "linear" methods.
This conference enabled leading researchers from the
academic and business communities
of Australia, Japan and
Europe to present their findings. The 25 formal papers
covered a large range of topics, ranging from philosophical
considerations, through nonlinear mathematical models of
firms and the economy, to the application of "evolutionary"
computer techniques to attempt to predict the course of the
stock exchange.
The papers for the conference were supplied to attendees in
a 2 volume set, totalling over 550 pages. Approxim
ately 20
copies of the set remain, and these are now available for
$A25 for Australian purchasers, and $US35 for overseas
purchasers (the difference covers the cost of surface mail
postage).
The contents are as follows:
1. The_Cobweb_Model
1.1 Ergodic cobweb chaos, Akio Matsumoto
1.2 Computer simulations of the cobweb model using a
genetic algorithm, Janice Gaffney, Krystyna Parrott &
Franz Salzborn
1.3 Convergence of genetic algorithms applied to the cobweb
model, Charles Pearce
2. Complexity_&_Economics
2.1 The role of innovation within economics, Russell
Standish
2.2 Complex adaptive human systems in a boundedly rational
environment - the economy as a collection of IGUSes,
Bertin Martens
2.3 Economic organisms and application of topology and
graph theory in economics, Xiaokai Yang &
Yeong-nan Yeh
3. Finance_&_Simulation
3.1 A hybrid non-parametric approach to the intraday
pricing of options on futures using implied volatility,
Paul Lajbcygier, Andrew Flitman & Marimuthu Palaniswami
3.2 A genetic programming-based approach to generation of
foreign exchange trading models, Andrew Colin
3.3 Evaluating planning vs. reacting in trading strategies
using a complex systems simulation, Robert J
ohnston &
John Betts
4. Mathematical_Modelling
4.1 Some policy experiments in a complete Keynesian model
of monetary growth with sluggish price and quantity
adjustments, Carl Chiarella & Peter Flaschel
4.2 Economic instability in single and multi-sectoral
models with finance, Steve Keen
4.3 Stochastic volatility in interest rates and
nonlinearity in velocity, Haiyang Xu & Bill Barnett
5. Measurement
5.1 Evolutionary patterns of multisectoral growth dynamics,
Hermann Schnabl
5.2 Detecting evolutionary change in an augmented logistic
diffusion econometric model using time-varying spectral
methods, John Foster & Phillip Wild
6. Methodology
6.1 Uncertainty, risk and chaos, James Juniper
6.2 Network externalities, compatibility, standardisation,
and locking
6.3 Universal
Darwinism and social research, the case of
economics, John Nightingale
7. Genetic_Algorithms
7.1 The application of cellular automata to economies with
network externalities: A generalisation of life game,
Sobei Oda, Ken Muira, Yasunori Baba & Kanji Ueda
7.2 Genetic_algorithms_and_evolutionary_games, Xin Yao
7.3 Evolved perception and behaviour in oligopolies, Bob
Marks
8. Equilibrium_Methods
8.1 Why do people buy PC - a case of knowledge-intensive
goods, He-Ling Shi
8.2 Engendering_change, Joshua Gans
9. Business_&_Complexity
9.1 From chaos to complexity in strategic planning, Steven
Phelan
9.2 International_business_and_economic_growth, Eduardo Pol
9.3 The origins and evolution of the machine tool industry,
George Argyrous
-- To order a copy, please send a note and cheque or money or der to:Robert MARKS, Australian Graduate School of Management, University of New South Wales, Sydney, NSW 2052, Australia Phone/Fax: +61-2-9931-9271 (W), +61-2-818-5618 (H), +61-2-662-2451 (Fax) +61-63-552752 (weekends) Internet: r.marks@unsw.edu.au OR bobm@agsm.unsw.edu.au WWW: http://www.agsm.unsw.edu.au/~bobm