Ant Encounters

Author: Deborah M. Gordon
Publisher: Princeton University Press
ISBN: 9781400835447
Size: 13.19 MB
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How do ant colonies get anything done, when no one is in charge? An ant colony operates without a central control or hierarchy, and no ant directs another. Instead, ants decide what to do based on the rate, rhythm, and pattern of individual encounters and interactions--resulting in a dynamic network that coordinates the functions of the colony. Ant Encounters provides a revealing and accessible look into ant behavior from this complex systems perspective. Focusing on the moment-to-moment behavior of ant colonies, Deborah Gordon investigates the role of interaction networks in regulating colony behavior and relations among ant colonies. She shows how ant behavior within and between colonies arises from local interactions of individuals, and how interaction networks develop as a colony grows older and larger. The more rapidly ants react to their encounters, the more sensitively the entire colony responds to changing conditions. Gordon explores whether such reactive networks help a colony to survive and reproduce, how natural selection shapes colony networks, and how these structures compare to other analogous complex systems. Ant Encounters sheds light on the organizational behavior, ecology, and evolution of these diverse and ubiquitous social insects.

Ant Encounters Interaction Networks And Colony Behavior

Author: Deborah M. Gordon
Publisher: Princeton University Press
ISBN: 9780691138794
Size: 28.11 MB
Format: PDF, Mobi
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How do ant colonies get anything done, when no one is in charge? An ant colony operates without a central control or hierarchy, and no ant directs another. Instead, ants decide what to do based on the rate, rhythm, and pattern of individual encounters and interactions--resulting in a dynamic network that coordinates the functions of the colony. Ant Encounters provides a revealing and accessible look into ant behavior from this complex systems perspective. Focusing on the moment-to-moment behavior of ant colonies, Deborah Gordon investigates the role of interaction networks in regulating colony behavior and relations among ant colonies. She shows how ant behavior within and between colonies arises from local interactions of individuals, and how interaction networks develop as a colony grows older and larger. The more rapidly ants react to their encounters, the more sensitively the entire colony responds to changing conditions. Gordon explores whether such reactive networks help a colony to survive and reproduce, how natural selection shapes colony networks, and how these structures compare to other analogous complex systems. Ant Encounters sheds light on the organizational behavior, ecology, and evolution of these diverse and ubiquitous social insects.

Darwin S Devices

Author: John Long
Publisher: Basic Books
ISBN: 0465029280
Size: 76.83 MB
Format: PDF, ePub, Docs
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What happens when we let robots play the game of life? The challenge of studying evolution is that the history of life is buried in the past—we can’t witness the dramatic events that shaped the adaptations we see today. But biorobotics expert John Long has found an ingenious way to overcome this problem: he creates robots that look and behave like extinct animals, subjects them to evolutionary pressures, lets them compete for mates and resources, and mutates their ‘genes’. In short, he lets robots play the game of life. In Darwin’s Devices, Long tells the story of these evolving biorobots—how they came to be, and what they can teach us about the biology of living and extinct species. Evolving biorobots can replicate creatures that disappeared from the earth long ago, showing us in real time what happens in the face of unexpected environmental challenges. Biomechanically correct models of backbones functioning as part of an autonomous robot, for example, can help us understand why the first vertebrates evolved them. But the most impressive feature of these robots, as Long shows, is their ability to illustrate the power of evolution to solve difficult technological challenges autonomously—without human input regarding what a workable solution might be. Even a simple robot can create complex behavior, often learning or evolving greater intelligence than humans could possibly program. This remarkable idea could forever alter the face of engineering, design, and even warfare. An amazing tour through the workings of a fertile mind, Darwin’s Devices will make you rethink everything you thought you knew about evolution, robot intelligence, and life itself.

Self Organization In Biological Systems

Author: Scott Camazine
Publisher: Princeton University Press
ISBN: 9780691116242
Size: 57.89 MB
Format: PDF
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Researchers are finding in certain patterns in nature - phenomena that have fascinated naturalists for centuries - a fertile approach to understanding biological systems: the study of self-organization. This work introduces readers to the basic concepts and tools for studying self-organization.

The Ecology And Evolution Of Ant Plant Interactions

Author: Victor Rico-Gray
Publisher: University of Chicago Press
ISBN: 0226713474
Size: 60.26 MB
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Ants are probably the most dominant insect group on Earth. This title brings together findings from the scientific literature on the coevolution of ants and plants to provide an understanding of the unparalleled success of these two remarkable groups, of interspecific interactions in general, and, ultimately, of terrestrial biological communities.

Ants At Work

Author: David Neufeld
Publisher:
ISBN: 9780673598714
Size: 20.22 MB
Format: PDF, Kindle
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The Leafcutter Ants Civilization By Instinct

Author: Bert Hölldobler
Publisher: W. W. Norton & Company
ISBN: 0393340872
Size: 12.14 MB
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From the Pulitzer Prize-winning authors of The Ants comes this dynamic and visually spectacular portrait of Earth's ultimate superorganism. The Leafcutter Ants is the most detailed and authoritative description of any ant species ever produced. With a text suitable for both a lay and a scientific audience, the book provides an unforgettable tour of Earth's most evolved animal societies. Each colony of leafcutters contains as many as five million workers, all the daughters of a single queen that can live over a decade. A gigantic nest can stretch thirty feet across, rise five feet or more above the ground, and consist of hundreds of chambers that reach twenty-five feet below the ground surface. Indeed, the leafcutters have parlayed their instinctive civilization into a virtual domination of forest, grassland, and cropland—from Louisiana to Patagonia. Inspired by a section of the authors' acclaimed The Superorganism, this brilliantly illustrated work provides the ultimate explanation of what a social order with a half-billion years of animal evolution has achieved.

Simulating Social Complexity

Author: Bruce Edmonds
Publisher: Springer
ISBN: 3540938133
Size: 44.12 MB
Format: PDF, ePub
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Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors. The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged. This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ‘Further Reading’ briefly describing three to eight items that a newcomer might read next.

Robot Programming

Author: Joe Jones
Publisher: McGraw Hill Professional
ISBN: 0071708502
Size: 63.89 MB
Format: PDF, Mobi
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* Teaches the concepts of behavior-based programming through text, programming examples, and a unique online simulator robot * Explains how to design new behaviors by manipulating old ones and adjusting programming * Does not assume reader familiarity with robotics or programming languages * Includes a section on designing your own behavior-based system from scratch