[FRIAM] ABM, Baysian and Monte Carlo Method's Role in Understanding Complexity
Ken Lloyd
kalloyd at wattsys.com
Tue Apr 8 12:51:07 EDT 2008
Ann,
Get you pencil and paper ready ...
http://www.sigevolution.org/issues/pdf/SIGEVOlution200702.pdf
Christopher Bishop, Neural Networks for Pattern Recognition, Oxford
University Press, 1995
Klaus Mosegaard - Monte Carlo Analysis of Geophysical Inverse Problems,
http://wwwrses.anu.edu.au/~malcolm/papers/pdf/SamMos02.pdf
Klaus Mosegaard, 1998: Resolution Analysis of General Inverse Problems
through Inverse Monte Carlo Sampling: Inverse Problems 14, pp. 405-426.
James Scales, M. Smith, and S. Treitel, Introductory Geophysical Inverse
Theory, Samizdat Press, Golden, CO USA, 2001,
<http://acoustics.mines.edu/jscales/gp605/snapshot.pdf>
http://acoustics.mines.edu/jscales/gp605/snapshot.pdf
See the many books and papers by Mosegaard and Tarantola
The network aspects are generally covered in Newman, Barabasi and Watts, The
Structure and Dynamics of Networks, Princeton Series on Complexity
Ken
=============================
Kenneth A. Lloyd
CEO and Director of Systems Science
Watt Systems Technologies Inc.
Albuquerque, NM USA
kalloyd at wattsys.com
kenneth.lloyd at incose.org - MBSE Complex, Adaptive & Stochastic Systems
kenneth.lloyd at nmug.net - Director of Education
www.wattsys.com <http://www.wattsys.com/>
<http://www.linkedin.com/pub/7/9a/824> http://www.linkedin.com/pub/7/9a/824
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From: friam-bounces at redfish.com [mailto:friam-bounces at redfish.com] On Behalf
Of admin at wkbank.com
Sent: Tuesday, April 08, 2008 10:16 AM
To: 'The Friday Morning Applied Complexity Coffee Group'
Subject: Re: [FRIAM] ABM,Baysian and Monte Carlo Method's Role in
Understanding Complexity
Thanks to all who responded.
"After all, it's the _braided_ or woven nature of causal networks (in
contrast to causal _chains_) that gave rise to ABM to begin with." glen e.
p. ropella
Could you or someone recommend a good ABM (as in the above quotation) that I
might study?
I thought glen's description of bayesian was very clear. Could glen or
someone else give a similarly clear and intuitive description of Bayesian
Monte Carlo or Markov Chain Monte Carlo method?
Ann Racuya-Robbins
World Knowledge BankR A Virtual Democratic Country
www.wkbank.com
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