Adaptive Systems Resources 2018-04-22T15:21:52+00:00

Adaptive Systems Books (5)

  • Complex Adaptive Systems: An Introduction to Computational Models of Social Life

    Complex Adaptive Systems: An Introduction to Computational Models of Social Life

    This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s...

    Visit Website
  • Diversity and Complexity

    Diversity and Complexity

    This book provides an introduction to the role of diversity in complex adaptive systems. A complex system--such as an economy or a tropical ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex system than it does in an equilibrium system, where it often merely produces variation around the mean for performance measures. In complex adaptive systems, diversity makes fundamental contributions to system performance.

    Visit Website
  • Game Theory: A Nontechnical Introduction

    Game Theory: A Nontechnical Introduction

    Accessible introduction to enormously important intellectual system with numerous applications to social, economic, political problems. Newly revised edition offers overview of game theory, then lucid coverage of the two-person zero-sum game with equilibrium points; the general, two-person zero-sum game; utility theory; other topics. Problems at start of each chapter.

    Visit Website
  • Game Theory: An Introduction

    Game Theory: An Introduction

    This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information. He covers a host of topics, including multistage and repeated games, bargaining theory, auctions, rent-seeking games, mechanism design, signaling games, reputation building, and information transmission games.

    Visit Website
  • Complex and Adaptive Dynamical Systems: A Primer

    Complex and Adaptive Dynamical Systems: A Primer

    This primer offers readers an introduction to the central concepts that form our modern understanding of complex and emergent behavior, together with detailed coverage of accompanying mathematical methods. All calculations are presented step by step and are easy to follow. This new fourth edition has been fully reorganized and includes new chapters, figures and exercises. The core aspects of modern complex system sciences are presented in the first chapters, covering network theory, dynamical systems, bifurcation and catastrophe theory, chaos and adaptive processes, together with the principle of self-organization in reaction-diffusion systems and social animals. Modern information theoretical principles are treated in further chapters, together with the concept of self-organized criticality, gene regulation networks, hypercycles and coevolutionary avalanches, synchronization phenomena, absorbing phase transitions and the cognitive system approach to the brain.

    Visit Website

Adaptive Systems Research (3)

  • Complex Adaptive Systems

    Complex Adaptive Systems

    To arrive at a deeper understanding of complex adaptive systems?to understand what makes them complex and what makes them adaptive?it is useful to look at a particular system. Consider the immune system. It consists of large numbers of highly mobile units, called antibodies, that continually repel or destroy an ever-changing cast of invaders (bacteria and biochemicals), called antigens. Because the invaders come in an almost infinite variety of forms, the immune system cannot simply develop a list of all possible invaders

    Visit Website
  • Complex Adaptive Systems: Emergence and Self-Organization

    Complex Adaptive Systems: Emergence and Self-Organization

    CAS studies indirect effects. Problems that are difficult to solve are often hard to understand because the causes and effects are not obviously related. Pushing on a complex system "here" often has effects "over there" because the parts are interdependent.

    Visit Website
  • Complex Adaptive Systems Introduction

    Complex Adaptive Systems Introduction

    The various groups at the Santa Fe Institute studying complex adaptive systems (CAS) have somewhat different points of view and have adopted different vocabularies. Some of us speak of "artificial life" or "artificial social life" or "artificial worlds," while others, of whom I am one, prefer to consider natural CAS and computer-based systems together. The latter include methods for adaptive computation as well as models and simulations of natural CAS.

    Visit Website

Adaptive Systems Courses (1)

  • Master's Program Complex Adaptive Systems

    Master's Program Complex Adaptive Systems

    The aim of this programme is to provide a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it is also interdisciplinary with courses available in information theory, computer science and optimisation algorithms, ecology and genetics as

    Visit Website

Adaptive Systems Videos (9)

  • Fritjof Capra, The Systems View of Life

    Fritjof Capra, The Systems View of Life

    "In this first lecture of the course, I would like to give you an outline of the new understanding of life that is now emerging at the forefront of science. As I mentioned before, it is a conception of life based on systemic thinking and some of the new concepts and mathematical techniques of complexity theory. It allows us for the first time to integrate the biological, cognitive, and social dimensions of life"

    Visit Website
  • Genetic Algorithms

    Genetic Algorithms

    A simple explanation of how genetic algorithms work.

    Visit Website
  • Peter Kollock on Social Dilemmas

    Peter Kollock on Social Dilemmas

    In 2005, Peter Kollock spoke about social dilemmas to the Stanford seminar on "A new literacy of cooperation" that was conducted by Andrea Saveri and Howard Rheingold.

    Visit Website
  • Negative Externalities and the Coase Theorem

    Negative Externalities and the Coase Theorem

    Prof. Sean Mullholland addresses a classic example of a negative externality, pollution, and describes three possible solutions for the problem: taxation, government regulation, and property rights. The first two options are difficult to monitor and may create perverse incentives.

    Visit Website
  • Robert Wright: The logic of non-zero-sum progress

    Robert Wright: The logic of non-zero-sum progress

    Author Robert Wright explains "non-zero-sumness," a game-theory term describing how players with linked fortunes tend to cooperate for mutual benefit. This dynamic has guided our biological and cultural evolution, he says -- but our unwillingness to understand one another, as in the clash between the Muslim world and the West, will lead to all of us losing the "game."

    Visit Website
  • Ending The Tragedy of The Commons

    Ending The Tragedy of The Commons

    The Nobel-prize winning economist argues that, contrary to the widespread theory, with the right governance, humans are likely to forge peaceful solutions to coping with resource scarcity.

    Visit Website
  • Game Theory 101 MOOC

    Game Theory 101 MOOC

    What is game theory? Why should we study it? Game Theory 101 is a free introductory course to the basics of game theory. Over the course of the next few dozen videos, we will learn about strict dominance, iterated elimination of strictly dominated strategies, pure strategy Nash equilibrium, mixed strategy Nash equilibrium, the mixed strategy algorithm, weak dominance, backward induction, subgame perfect equilibrium, comparative statics, and more.

    Visit Website
  • Using fitness landscapes to visualize evolution in action

    Using fitness landscapes to visualize evolution in action

    Bjørn Østman and Randy Olson demonstrate how fitness landscapes can be used to visualize concepts about evolution that are typically hard to understand.

    Visit Website
  • Control Systems Lectures - Closed Loop Control

    Control Systems Lectures - Closed Loop Control

    This lecture discusses the differences between open loop and closed loop control.

    Visit Website