The emergence of Self-Organized Sustainable Ecologies from Individual random interactions D Mazursky (Soc. Sci., Bus. Adm.) Henri Atlan (biology), Irun.

Slides:



Advertisements
Similar presentations
Jacob Goldenberg, Barak Libai, and Eitan Muller
Advertisements

Agent-Based Modeling of Complex Adaptive Systems Introductions Overview of weeks ABM track classes Complex Adaptive Systems - characteristics Agent-Based.
Individual Losers and Collective Winners MICRO – individuals with arbitrary high death rate INTER – arbitrary low birth rate; arbitrary low density of.
DYNAMICS OF RANDOM BOOLEAN NETWORKS James F. Lynch Clarkson University.
Autocatalytic Mechanisms (feedback-loops) Amplify Individual Financial Interactions to Systemic Economic Crises.
Space in Unified Models of Economy and Ecology or... ? Space: The final frontier A. Xepapadeas* University of Crete, Department of Economics * Research.
Collaboration with Federico Vázquez - Mallorca - Spain The continuum description of individual-based models Cristóbal López.
Physics, Finance and Logistic Systems Boltzmann, Pareto, Levy and Malthus Sorin Solomon, Hebrew University of Jerusalem and ISI Torino.
Chess Review May 10, 2004 Berkeley, CA Modeling Subtilin Production in Bacillus subtilis Using Stochastic Hybrid Systems Jianghai Hu, Wei-Chung Wu Denise.
Two Approaches to Multiphysics Modeling Sun, Yongqi FAU Erlangen-Nürnberg.
Frequency-locking and pattern formation in the Kuramoto model with Manhattan delay Karol Trojanowski, Lech Longa Jagiellonian University Institute of Physics,
SCB : 1 Department of Computer Science Simulation and Complexity SCB : Simulating Complex Biosystems Susan Stepney Department of Computer Science Leo Caves.
Seminar in mathematical Biology Theoretical issues in modeling Yoram Louzoun Nadav Shnerb Eldad Bettelheim Sorin Solomon.
Simulation Models as a Research Method Professor Alexander Settles.
1 COMPUTATIONAL MODELLING and SIMULATION Modelling and Scientific Computing Research Group Speakers: H. Ruskin/L.Tuohey.
More Is Different Sorin Solomon HUJ and ISI Real world is controlled … –by the exceptional, not the mean; –by the catastrophe, not the steady drip; –by.
Multi-Agent Complex Systems - wide range of ideas, techniques and applications in - Health (disease spread), - Biology (immune system) - Culture (economic.
Artificial Chemistries Autonomic Computer Systems University of Basel Yvonne Mathis.
Part III: tourism dynamics Taxonomy of tourism destinations.
Absorbing Phase Transitions
Dr. Khosrow Farahbakhsh School of Engineering University of Guelph A SYSTEM’S APPROACH TO WATER AND WASTEWATER MANAGEMENT.
Business simulation models PhD, Associate Professor Solveiga Skunčikienė PhD, Lecturer Andrius Rakickas Šiauliai,
Complexity as Theoretical Applied Science Sorin Solomon, Racah Institute of Physics HUJ Israel Director, Complex Multi-Agent Systems Division, ISI Turin.
Notes on Complexity NEST meeting May 7, 2003 Sorin Solomon.
Complexity Sorin Solomon, Racah Institute of Physics HUJ Israel Complex Multi-Agent Systems Division, ISI Turin Lagrange Interdisciplinary Lab for Excellence.
Population Modeling Mathematical Biology Lecture 2 James A. Glazier (Partially Based on Brittain Chapter 1)
Notes on Modeling with Discrete Particle Systems Audi Byrne July 28 th, 2004 Kenworthy Lab Meeting Deutsch et al.
(- ∞ ) General Background: The Microscopic Representation of Complex Macroscopic Phenomena,, Annual Reviews of Computational Physics II p 243, ed D. Stauffer,
Complexity Emergence in Economics Sorin Solomon, Racah Institute of Physics HUJ Israel Scientific Director of Complex Multi-Agent Systems Division, ISI.
Complexity as Theoretical Applied Science Sorin Solomon, Racah Institute of Physics HUJ Israel Director, Complex Multi-Agent Systems Division, ISI Turin.
Complexity Research and Economic Growth Sorin Solomon Racah Institute of Physics HUJ Israel Complex Multi-Agent Systems Division, ISI Turin Lagrange Interdisciplinary.
Multi-Agent Modeling of Societal Development and Cultural Evolution Yidan Chen, 2006 Computer Systems Research Lab.
Executive Abstract Logistic dynamics has been recognized since 200 years to govern a wide range of social, economic, biological and cognitive systems.
Introduction to Self-Organization
Conceptual Modelling and Hypothesis Formation Research Methods CPE 401 / 6002 / 6003 Professor Will Zimmerman.
Complexity Emergence in Economics Sorin Solomon, Racah Institute of Physics HUJ Israel Scientific Director of Complex Multi-Agent Systems Division, ISI.
Economic Complexity and Econometric Simplicity Prof. Ping Chen Spring /27/2004.
Finite population. - N - number of individuals - N A and N a – numbers of alleles A and a in population Two different parameters: one locus and two allels.
T-99 0 CT C T-99 0 CT C T-99 0 CT C.
Complexity Emergence in Economics Sorin Solomon, Racah Institute of Physics HUJ Israel Scientific Director of Complex Multi-Agent Systems Division, ISI.
The emergence of Macroscopic Complex Adaptive Objects from Microscopic Simple Random Agents D Mazursky (Soc. Sci., Bus. Adm.) Henri Atlan (biology), Irun.
A Stochastic Model of Platoon Formation in Traffic Flow USC/Information Sciences Institute K. Lerman and A. Galstyan USC M. Mataric and D. Goldberg TASK.
Complexity Research; Why and How Sorin Solomon Racah Institute of Physics HUJ Israel Director, Complex Multi-Agent Systems Division, ISI Turin Director,
Minority Game and Herding Model
Why Impossible Things Happen so Often? The emergence of Macroscopic Complex Objects from Microscopic Noise N.Shnerb Y.Louzoun E.Bettelheim S.Solomon D.
Numerical Simulations of Stochastic Differential Equations Presented by: Mikal Grant.
Complexity Emergence in Economics Sorin Solomon, Racah Institute of Physics HUJ Israel Scientific Director of Complex Multi-Agent Systems Division, ISI.
ECE-7000: Nonlinear Dynamical Systems Overfitting and model costs Overfitting  The more free parameters a model has, the better it can be adapted.
Introduction to and Measurement of Complexity FRST 532C – Complex Adaptive Systems Lorea Coronado-Garcia.
Physics, Economics and Ecology Boltzmann, Pareto and Volterra Pavia Sept 8, 2003 Franco M.Scudo ( ) Sorin Solomon, Hebrew University of Jerusalem.
An Agent Epidemic Model Toward a general model. Objectives n An epidemic is any attribute that is passed from one person to others in society è disease,
ESI workshop Stochastic Effects in Microbial Infection The National e-Science Centre Edinburgh September 28-29, 2010.
MA354 An Introduction to Math Models (more or less corresponding to 1.0 in your book)
Complexity Sorin Solomon, Multi-Agent Division ISI and Racah Institute of Physics HUJ MORE IS DIFFERENT (Anderson 72) (more is more than more) Complex.
Modelling concepts Modelling in discrete time (difference equations, also known as updating equations) Modelling in continuous time (differential equations)
Emergence of Complexity in economics Sorin Solomon, Racah Institute of Physics HUJ Israel Scientific Director of Complex Multi-Agent Systems Division,
MA354 Math Modeling Introduction. Outline A. Three Course Objectives 1. Model literacy: understanding a typical model description 2. Model Analysis 3.
Phil Anderson (1972) "More is Different". limitations of “representative individual” “mean field” / continuum / linear way of thinking -conceptual gaps.
Phil Anderson (1972) "More is Different". limitations of “representative individual” “mean field” / continuum / linear way of thinking -conceptual gaps.
Kharkov National Medical University MEDICAL INFORMATICS МЕДИЧНА ІНФОРМАТИКА.
Sorin Solomon, Hebrew University of Jerusalem Physics, Economics and Ecology Boltzmann, Pareto and Volterra.
Population Ecology Photo Credit:
Lattice Boltzmann Modeling
Review of Probability Theory
Sistemi per la Gestione Aziendale.
Models.
A Stochastic Model of Cell Differentiation
Do Now Study the ecologists at work. What might they be observing or measuring? Be Specific! Picture 1 Picture 2 Picture 3.
POPULATION ECOLOGY pp
Population Dynamics.
Presentation transcript:

The emergence of Self-Organized Sustainable Ecologies from Individual random interactions D Mazursky (Soc. Sci., Bus. Adm.) Henri Atlan (biology), Irun Cohen (immunology), Hanoch Lavee (desert/ecology) H and M Levy (finance econo), J Goldenberg (marketing), The Importance of Being Discrete; Life Always Wins on the Surface

COMPLEXITY EMERGENCE ? Individual plants Self-organized Resilient Ecological patterns

Simplest model: A water ; B plants A+B-> A+B+B proliferation B->.  death B+B-> B  competition WELL KNOWN Logistic Equation (Malthus, Verhulst. Lotka, Volterra, Eigen) b. = ( a -  )  b + D b  b –  b 2 almost all the social phenomena, …. obey the logistic growth. “ Social dynamics and quantifying of social forces ” E. W. Montroll I would urge that people be introduced to the logistic equation early in their education… Not only in research but also in the everyday world of politics and economics … Lord Robert May  < 0 #b#b 

SAME SYSTEM RealityModels Complex Trivial Adaptive Fixed dynamical law Localized patches Spatial Uniformity Survival Death Discrete Individuals Continuum Density Development Decay We show it was rather due to the neglect of the discreteness. Once taken in account => complex adaptive collective objects. emerge even in the worse conditions Misfit was always assigned to the neglect of specific details.

Instead: emergence of singular spatio-temporal localized collective islands with adaptive self-serving behavior => resilience and sustainability even for << 0 ! Multi-Agent Complex Systems Implications: one can prove rigorously that the DE prediction: Time Differential Eqations ( continuum << 0 approx ) Multi-Agent stochastic  a   prediction Is ALWAYS wrong !

Discrete Individuals  microscopic noise Autocatalytic proliferation  amplification Collective Macroscopic Objects -Emergent Properties : Adaptability -Life “always” wins

APPLICATION: Liberalization Experiment Poland Economy after MACRO decay (90) 1992 MACRO growth (92) 1991 MICRO growth (91) GNP Global analysis prediction Complexity prediction

fractal space distribution Prediction of campaign success (15/17) Goldenberg Air-view of a sub-urban neighborhood; crosses on the roofs indicate air-conditioner purchase Innovations Refuse to Die:-The Unforeseen Longevity of Society Fundamental Ideas. Mazurski. D., Goldberg. J. Barak.L. Louzoun. Y. Solomon. S. (2003) Technological forecasting and Social Change

Individual fluctuations of b between different sites  Time fluctuations in the total b M. Levy S.S   “ Levy, Solomon and Levy's Microscopic Simulation of Financial Markets points us towards the future of financial economics. If we restrict ourselves to models which can be solved analytically, we will be modeling for our mutual entertainment, not to maximize explanatory or predictive power." HARRY M. MARKOWITZ, Nobel Laureate in Economics

- Microscopic Immune Cells and Macroscopic Health MICRO - Cells, Enzimes, Antigens, Antibodies INTER -producing, destroying, changing state of cells/enzymes MACRO - immunity, health, infection, sickness, inflamation. Proliferation and competition in discrete biological systems. Louzoun, Y., Atlan, H., Solomon. S., Cohen, I.R (2003) Bulletin of mathematical biology 65(3) Antigen-receptor degeneracy and immunological paradigms Irun R. Cohen,, Uri Hershberg, Sorin Solomon Molecular Immunology 40 (2004) 993–996 REALITY Agents SIMULATION HIV Acute Phase T-cells

- Microscopic seeds and Macroscopic Oases MICRO –individual plants INTER –growth, water fixation, MACRO – bushes, vegetation patches N.M. Shnerb, P. Sarah, H. Lavee, and S. Solomon Reactive glass and vegetation patterns Phys. Rev. Lett. 90, (2003) Mediterranean; uniform Semi-arid; patchy Desert; uniform

Two coupled reaction-diffusion systems with slow and fast reactants may support an instability at finite wavelength. TURING PATTERNS Vegetation in semi-arid zones

When the average naïve growth rate is negative -> discreteness effects -> still survival But no PDE

NO!

Picture Radel Ben-Av