Carl's comments seem to clarify much in my rather ignorant mind. As a relative newcomer to complexity theory, it seems to me that the great advantage of complexity modeling and ABMs is that they provide new tools to examine processes. tools that are quicker and more elegant than statistics and other research methodology Systematics, e.g. Odum's work, has been around for a while, but being able to establish multi-layered links and analysis between inter and intra-disciplinary research and data easily is a great advantage. It would be interesting to develop ABMs based on the principles of bio-mimicry. Paul Paryski. ************************************** See what's free at http://www.aol.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: http://redfish.com/pipermail/friam_redfish.com/attachments/20070626/940e576f/attachment.html |
I hope this contributes. I like Carl's comment.
A given ABM is less for explanation or prediction than for exploration and understanding; it helps (or not) clarify the issues and concepts under consideration relative to some space of such ABMs. These are learning tools. They're not nature, and we try to understand the way models operate as a whole, in relation to how nature behaves, often differently. My focus is more on predictive direct observation of physical systems, rather than learning from rule based models. I certainly learn from rule base models, by noticing the difference between physical systems that are continually making up new roles (since all complex systems are continually evolving), for example, and that helps alert me to where I'm missing what's really happening. It's the learning process about the real that information models are useful for helping us with. The way people sometimes treat the information as what's really happening (the Copenhagen convention) hides the real very efficiently. Information is very useful, but only because it refers to and connects our thinking to something else, exploration and understanding. Phil Henshaw ????.?? ? `?.???? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 680 Ft. Washington Ave NY NY 10040 tel: 212-795-4844 e-mail: pfh at synapse9.com explorations: www.synapse9.com <http://www.synapse9.com/> -----Original Message----- From: [hidden email] [mailto:[hidden email]] On Behalf Of PPARYSKI at aol.com Sent: Tuesday, June 26, 2007 6:23 PM To: friam at redfish.com Subject: [FRIAM] Article on Epstein Carl's comments seem to clarify much in my rather ignorant mind. As a relative newcomer to complexity theory, it seems to me that the great advantage of complexity modeling and ABMs is that they provide new tools to examine processes. tools that are quicker and more elegant than statistics and other research methodology Systematics, e.g. Odum's work, has been around for a while, but being able to establish multi-layered links and analysis between inter and intra-disciplinary research and data easily is a great advantage. It would be interesting to develop ABMs based on the principles of bio-mimicry. Paul Paryski. _____ See what's free at AOL.com <http://www.aol.com?ncid=AOLAOF00020000000503> . -------------- next part -------------- An HTML attachment was scrubbed... URL: http://redfish.com/pipermail/friam_redfish.com/attachments/20070629/bcd8eddf/attachment.html |
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