The University of North Texas

a  research university of 34,000+  students

Warren Burggren's

 

Developmental Physiology Lab

    Symposium:  Complexity in Physiological Systems:   Recognition, Definitions, Modeling and Predictions

October 8-11, 2006

Virginia Beach, Virginia

Facilitator:  Warren Burggren

Department of Biological Sciences

University of North Texas

Denton, TX 76203, USA

burggren@unt.edu

Symposium Proposal

Symposium Titles and Schedule

Bibliography for Speakers


Symposium Proposal

“Complexity” is much like “beauty” – most recognize it, but few can define it. While one might anticipate turning to applied mathematics for inspiration, the area of “mathematical complexity” is burgeoning yet still in its infancy. “Biocomplexity” is, of course, currently a area of intense focus, but few can define it other than to say it is the description of the dynamic interactions of living organisms with each other and the environment. To the physiologist, understanding complexity may well be the key for unlocking many physiological questions, especially as we move from genomics to proteomics to true physiological systems integration.

 Are physiological systems more complex because they have more pieces, more processes, more outputs, more flexibility, more structure, etc.? Complexity in physiological systems manifests itself many ways, and accordingly is measured or catalogued in many ways. Most common is an “anatomical” approach, where the number of components (structures) is taken as a measure of complexity. An alternative physiological approach may be to measure the number of processes in a given system. A more realistic approach may be to consider the number of interactions – theoretical and actual - that can occur between a physiological system’s components (e.g. the heart, blood vessels and baroreceptors of the CV system) and its processes (material transport, blood pressure regulation). When one considers micro-level interactions at the gene level, and macro-level interactions between organ systems, between individuals, and between individuals and the environment, the true measure of complexity is daunting. Yet, understanding how complexity changes in individuals (development, acclimatization) and in populations (adaptation, evolution) can help formulate creative new hypotheses and shape our future experiments.

This symposium is intended to focus specifically on “physiological complexity” and to show how embracing complexity and how it changes, rather than relegating complexity to a necessary evil to be avoided or minimized, can enlighten our understanding of physiological systems. Subjects considered in this symposium will be: 1) physiological complexity through environmental interactions (e.g. influences of temperature, light, nutrition, etc., 2) physiological complexity through changes in physiological state (e.g. molting cycles, hibernation), 3) physiological complexity through associated with development (e.g. metamorphosis, senescence), and 4) physiological complexity resulting from diversity of life cycle (e.g. parasites, symbionts, etc.). The focus will be on elucidating physiological complexity and to study it through the use of examples, rather than just describing systems that happen to also be complex.

The symposium will involve five main speakers, four of whom will concentrate on the implications of complexity measurement and complexity change from the above perspectives. The fifth speaker, an applied mathematician with a reputation for communicating to, and collaborating with, biologists, will describe conceptual advances in the field of complexity recognition and description, and indicate how emerging complexity axioms can help physiologists design more effective experiments.

To my knowledge, there has never been a symposium focused specifically on physiological complexity, and so this symposium should therefore be of considerable interest to conference attendees.

Symposium Program and Schedule:

 The tentative program for the conference is as follows.: 

 

October 8th

October 9th

October 10th

October 11th

8:15 – 12:15

Symposia

Symposia

Symposia

Symposia

12:15 – 2:00

lunch

lunch

Lunch

Lunch

2:00 – 3:00

Plenary

Plenary

Plenary

Plenary

3:15 – 5:45

Posters

posters

posters

Posters

 Each symposium will be 4 h (3.5 h of speaker time after accounting for the recommended 15 min coffee break in mid-morning).   We have not yet been assigned a specific day.

8:30-8:40 am Introduction:  Physiological Complexity is Easy to Recognize, Tough to Describe   Warren Burggren, Univ. of North Texas

9:15-10:00 am Ecology, Physiology and Complexity  - Ray Huey, Univ. of Washington

8:40-9:15 am Complexity and Physiological Changes of State – Michele Wheatly, Wright State University

10:00-10:15 am   Coffee Break

10:15-10:50 am Physiological Complexity, Life-Histories and Evolution- Robert Ricklefs, University of Missouri – St. Louis

10:50-11:25 am Complexity in a Clinical Setting”  Karl Young – University of California, San Francisco. 

11:25 am–12:00pm Complexity: An Applied Mathematician’s View – Michael Monticino, Univerisity of North Texas

 

Bibliography for Speakers

 Some of these papers (or page proofs) may be of some use to you as you put together your symposium talk, even if they just lead you to interesting new directions..... 

  • Young, K.  et al., (2005)  Summarizing Complexity in High Dimensions.  Physical Review Letters.

  • Burggren, W.W.   (2006)  Complexity change during physiological development.  In: Comparative Developmental Physiology.  Eds: Warburton, S., Burggren, W.W., Pelster, B., Reiber, C, and Spicer, J.   Oxford University Press, New York. In Press    

  • Burggren, W.W.  and Monticino, M.G.  (2005)  Assessing Physiological Complexity.  Journal of Experimental Biology 208:3221-3232. 

  • Henrickson L.  (2004) Nonlinear Dynamics Psychol Life Sci.  8(2):259-302.  Trends in complexity theories and computation in the social sciences. 

  • Nehaniv CL and Rhodes JL (2000).  The evolution and understanding of biological complexity from an algebraic perspective, Artificial Life, 6(1): 45-67.

From Amazon.com

  • Peter Taylor.   (2005) Unruly Complexity : Ecology, Interpretation, Engagement University of Chicago Press. 

  •  Gregoire Nicolis, Ilya Prigogine.(1989)  Exploring Complexity: An Introduction,   W.H. Freeman.

  • Roger Lewin   (1992)  Complexity: Life at the Edge of Chaos.  MacMillan   


 

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