“It’s the “It’s the SYSTEM !” SYSTEM !” Complex Earth Systems

Slides:



Advertisements
Similar presentations
Approaches, Tools, and Applications Islam A. El-Shaarawy Shoubra Faculty of Eng.
Advertisements

Immigrant Integration as a Complex Adaptive Social Systems Agnes Meinhard, PhD.
The Evolution of Complexity: an introduction Francis Heylighen Evolution, Complexity and Cognition group (ECCO) Vrije Universiteit Brussel Francis Heylighen.
DYNAMICS OF RANDOM BOOLEAN NETWORKS James F. Lynch Clarkson University.
Dealing with Complexity Robert Love, Venkat Jayaraman July 24, 2008 SSTP Seminar – Lecture 10.
Lynn S. Fichter Dept Geology/Environmental Science James Madison University 1410h AN: ED23C-03.
The Evolution of Cooperation within the Iterated Prisoner’s dilemma on a Social Network.
Central question for the sciences of complexity. How do large networks with.
Ms. Pollock 8th Grade Physical Science
Complexity, Emergence, and Chaos: Geog 220: Geosimulation Lisa Murawski 1/31/05 Application to Regional Industrial Systems.
PHYS:1200:0001 Physics of Everyday Experience Professor Robert Merlino course webpage:
Triangulation of network metaphors The Royal Netherlands Academy of Arts and Sciences Iina Hellsten & Andrea Scharnhorst Networked Research and Digital.
Emergent Phenomena & Human Social Systems NIL KILICAY.
Admin stuff. Questionnaire Name Math courses taken so far General academic trend (major) General interests What about Chaos interests you the most?
Systems Dynamics and Equilibrium
1 © HSD Institute. Use with permission. Human Systems Dynamics Professional Certification Training Human Systems Dynamics Professional Certification.
Nawaf M Albadia Introduction. Components. Behavior & Characteristics. Classes & Rules. Grid Dimensions. Evolving Cellular Automata using Genetic.
AJITESH VERMA 1.  Dictionary meaning of chaos- state of confusion lack of any order or control.  Chaos theory is a branch of mathematics which studies.
CITS4403 Computational Modelling Fractals. A fractal is a mathematical set that typically displays self-similar patterns. Fractals may be exactly the.
Self Organization. A naturally occurring group of interacting, interrelated, or interdependent elements, forming a complex whole, existing far from equilibrium,
By Paul Cottrell, BSc, MBA, ABD. Author Complexity Science, Behavioral Finance, Dynamic Hedging, Financial Statistics, Chaos Theory Proprietary Trader.
Lessons Learned from 20 Years of Chaos and Complexity J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the Society for.
LEZIONE UNDICI SELF-ORGANIZATION AND EMERGENCE IN DYNAMIC SYSTEMS.
Lecture note for /445. What is a dynamical system? In an informal way, one can think of a dynamical system as being either of two things: - A MATHEMATICAL.
Week 3a Mechanisms for Adaptation. POLS-GEOG-SOC 495 Spring Lecture Overview Review –CAS –Principles of chaos How do systems “learn”? –“Credit.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
BioComplexity: Rivers, Roads, and People EY592 BioComplexity Seminar Spring 2004.
Netherlands Organisation for Scientific Research 1 Peter Nijkamp 28 November 2006 “As far as the laws of mathematics refer to reality they are not certain;
Chaos, Communication and Consciousness Module PH19510 Lecture 16 Chaos.
Introduction to Self-Organization
Artificial Intelligence/Life Presented by James H. Sunshine September 2, 2004.
Systems approaches Chapter 4.
The Science of Complexity J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the First National Conference on Complexity.
Chaos Theory MS Electrical Engineering Department of Engineering
Technology plays a big role in everyday life  computers, smart phones, GPS, etc. Technological advances result from applications of scientific discoveries.
HONR 300/CMSC 491 Complexity Prof. Marie desJardins, January 31, Class Intro 1/26/10.
Unit 5 Evolution. Biological Evolution All of the changes that have transformed life on Earth from the earliest beginnings to the diversity of organisms.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Agent Based Modeling (ABM) in Complex Systems George Kampis ETSU, 2007 Spring Semester.
Lars-Erik Cederman and Luc Girardin
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
GeoSpatial and GeoTemporal Informatics for dynamic and complex systems May Yuan.
T174. Identifying and Addressing K-16 Student Misconceptions in the Earth-Science Classroom National Association of Geoscience Teachers Laura A. Guertin,
CS851 – Biological Computing February 6, 2003 Nathanael Paul Randomness in Cellular Automata.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
What is Evolution? How do things Evolve?. Ok, we have created the Earth Earth about 4.0 Ga. We now want to follow its evolution from past to present But.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Janine Bolliger Swiss Federal Research Institute WSL/FNP,
Improvement Leaders Collaboratives Residential Module Organisational paradigms.
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Earth Systems Do Not Evolve To Equilibrium Fichter, Lynn S., Pyle, E.J., Whitmeyer, S.J.
Chaos Theory in Economics JINGWEI SHE 02/14/2016.
제 2 주. 인공생명의 개요 Research into models and algorithms of artificial life H. Jiyang, H. Haiying and F. Yongzhe, Artificial Intelligence in Engineering, vol.
Coffee Shop System: A Coffee Shop from a Complex Adaptive Systems Perspective myCoffeeShop.
Bartlesville District Science Fair Awards !!!!. Junior Behavioral & Social Sciences.
Complex Systems Engineering SwE 488 Artificial Complex Systems Prof. Dr. Mohamed Batouche Department of Software Engineering CCIS – King Saud University.
SCIENCE FAIR CATEGORIES MIDDLE SCHOOL :
Self-organizing algorithms Márk Jelasity. Decide Object control measure control loop Centralized Mindset: Control Loop ● problem solving, knowledge (GOFAI)
Agent-Based Modeling ANB 218a Jeff Schank.
Introduction to Chaos Clint Sprott
Dynamics of Learning & Distributed Adaptation
Rationality and Power: the “gap in the middle” in ICT
Artificial Life - An Overview
An Investigation of Market Dynamics and Wealth Distributions
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
Strategies and Rubrics for Teaching Chaos and Complex Systems Theories as Elaborating, Self-Organizing, and Fractionating Evolutionary Systems Fichter,
R. W. Eberth Sanderling Research, Inc. 01 May 2007
Prof. Marie desJardins, January 28, 2016
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
Presentation transcript:

“It’s the “It’s the SYSTEM !” SYSTEM !” Complex Earth Systems Lynn S. Fichter and Eric Pyle Geology and Environmental Science: James Madison University

It’s the SYSTEM It’s the SYSTEM

When we say “The Earth is a System” . . . . . . Is it similar to or different from . . . a school system, the Federal Reserve System, the Global Positioning System, an operating system, or the solar system.

For example . . . a Dictionary definition A naturally occurring group of interacting, interrelated, or interdependent elements, forming a complex whole. Yet, we might ask, “Interacting how?” “Interrelated how?” “Interdependent how?” Are the relationships a lucky accident? Or Teleological? Or random? Or evolutionary? How they became Interacting, Interrelated, and Interdependent is what we are trying to determine. We cannot assume what it is our purpose to discover. Plus, what does it mean for something to “naturally occur” (more ambiguity).

For example . . . a Dictionary definition A naturally occurring group of interacting, interrelated, or interdependent elements, forming a complex whole. And “complex whole?” Is it complex just because it has a bunch of parts, like a car? Or is it complex in the way people are complex?

For example . . . a Dictionary definition A naturally occurring group of interacting, interrelated, or interdependent elements, forming a complex whole. And is behavior important? What about a bunch of parts that have simple behavior, like a car, or a watch? Or, simple parts that have complex behavior, like the logistic systems behavior below right? A system with complexity (like a car) is not a complex system (like Earth systems)

Systems (in the technical sense of Complex Systems Theory) is not new and has many parents. Chaos and fractal geometry Self Organization Self-organized criticality Cybernetics Network theory Cellular automata Artificial Life Genetic algorithms Computational modeling Artificial Intelligence

But, if we push the system harder Its behavior evolves into this. We are educated to think about systems in a classical way; they spontaneously evolved to equilibrium. Studies why and how the behavior of simple systems—becomes more complex and unpredictable as the energy/information the system dissipates increases. Earth Systems do not behave this way. + - Xnext = rX (1-X) But this way. A classical equilibrium system A non-equilibrium complex system But, if we push the system harder Its behavior evolves into this. System evolves to equilibrium System evolves to complexity

Is imbedded within . . . Complex Systems Theory

the individual units that are interacting, like . . . Complex Systems Theory . . . studies how systems with many “agents” that are already at high energy/information dissipation interact and behave. Agent: the individual units that are interacting, like . . .

Vehicle “agents” interacting in high traffic at high energy/information flow.

Friction“agents” interacting along a fault zone

Sand grain ”agents” interacting to form ripples and cross beds. All these systems derive their order from the acting out of simple rules among the agents Sand grain ”agents” interacting to form ripples and cross beds. Local Rules leads to Global Behavior The Rules can be the laws of chemistry and physics, or biological rules, or network rules, or mathematic rules.

All these are systems in the same way. Self Organizing Complex Systems are Ubiquitous All these are systems in the same way. What makes a system a Complex systems is they exhibit the same universality properties Chengjiang network (properties common to all systems, whether they be chemical, biological, economic, social, geoscience, etc.) © 2012 Lynn S. Fichter

Universality Properties of Complex System are . . . . . . a group of agents . . . . . . existing far from equilibrium . . . . . . interacting through rules of +\- feedbacks . . . . . . forming evolutionary networks . . . . . . that self organize to critical states (SOC) . . . . . . where they become sensitive dependent . . . . . . and undergo avalanche (extinction) behavior. . . . . . that follows a power law. . . In addition: . . . they behave as strange attractors . . . Bard E. Abrupt climate changes over millennial time scales: climate shock. Physics Today 55, 32-37 (2002) (link) . . . with oscillating (hysteresis) behavior . . . . . . and fractal organization (patterns within patterns within patterns).

There are many ways of looking at the Earth as a system; they each have their uses. But if we are not looking at them as Complex Systems in the technical sense we are missing some of the most interesting and important properties.