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Judyth Piazza chats with Richard Pearson, PhD, Author of DRIVEN TO EXTINCTION: The Impact of Climate Change on Biodiversity

Judyth Piazza chats with Richard Pearson, PhD, Author of DRIVEN TO EXTINCTION: The Impact of Climate Change on Biodiversity | Resilience of systems | Scoop.it
Richard Pearson, PhD, is Director of Biodiversity Informatics Research at the American Museum of Natural History’s Center for Biodiversity and Conservation, as well as a research scientist with the Museum’s Department of Herpetology.
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Resilience of systems
Everything associated with change in complex systems
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NASA Presents “The Earth as Art” in a Free eBook and Free iPad App

NASA Presents “The Earth as Art” in a Free eBook and Free iPad App | Resilience of systems | Scoop.it
In 1960, NASA put its first 'Earth-observing environmental satellite' into orbit, and, ever since, these satellites have let us observe the dynamics of our planet in a new way.
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Bigger than Chaos: Understanding Complexity through Probability ...

Bigger than Chaos: Understanding Complexity through Probability ... | Resilience of systems | Scoop.it

Along the way, he draws lessons concerning the low-level explanation of high-level phenomena and the basis for introducing probabilistic concepts into physical theory. LINK: Download Bigger than Chaos: Understanding ...


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Complexity, Networks, and Non-Uniqueness

The aim of the paper is to introduce some of the history and key concepts of network science to a philosophical audience, and to highlight a crucial—and often problematic—presumption that underlies the network approach to complex systems. Network scientists often talk of “the structure” of a given complex system or phenomenon, which encourages the view that there is a unique and privileged structure inherent to the system, and that the aim of a network model is to delineate this structure. I argue that this sort of naïve realism about structure is not a coherent or plausible position, especially given the multiplicity of types of entities and relations that can feature as nodes and links in complex networks.

 

Complexity, Networks, and Non-Uniqueness
Alan Baker

FOUNDATIONS OF SCIENCE
2012, http://dx.doi.org/10.1007/s10699-012-9300-0


Via Complexity Digest
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On the necessity of complexity

Wolfram's Principle of Computational Equivalence (PCE) implies that universal complexity abounds in nature. This paper comprises three sections. In the first section we consider the question why there are so many universal phenomena around. So, in a sense, we week a driving force behind the PCE if any. We postulate a principle GNS that we call the Generalized Natural Selection Principle that together with the Church-Turing Thesis is seen to be equivalent to a weak version of PCE. In the second section we ask the question why we do not observe any phenomena that are complex but not-universal. We choose a cognitive setting to embark on this question and make some analogies with formal logic. In the third and final section we report on a case study where we see rich structures arise everywhere.

 

On the necessity of complexity

Joost J. Joosten

http://arxiv.org/abs/1211.1878


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Case Based Method and Complexity Science, Part II (The SACS Toolkit)

Case Based Method and Complexity Science, Part II (The SACS Toolkit) | Resilience of systems | Scoop.it

My goal here is to introduce the case-based complexity science method my colleagues and I have developed for modeling complex systems. Our case-based modeling technique is called the SACS Toolkit--which stands for the Sociology and Complexity Science Toolkit.


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The Atlas of Economic Complexity

The Atlas of Economic Complexity | Resilience of systems | Scoop.it
Here is a recipe: Bring together renowned faculties like the MIT Media Lab and Harvard's Center for International Development.

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Cognitive Agent-based Computing-I

Cognitive Agent-based Computing-I | Resilience of systems | Scoop.it

Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling
and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been
vertical in nature.
The goal of this book is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and
examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems,
research networks and epidemiological HIV.

 

Cognitive Agent-based Computing-I

A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods
Series: SpringerBriefs in Cognitive Computation
Niazi, Muaz A, Hussain, Amir


Via Complexity Digest, Alejandro J. Alvarez S.
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Gaining from rain: precipitation is an indicator of tropical forest biodiversity

Gaining from rain: precipitation is an indicator of tropical forest biodiversity | Resilience of systems | Scoop.it
Policymakers seeking to conserve forests in southern India should focus on those receiving the highest levels of rainfall, according to new research.
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Trophic transfer of biodiversity effects: functional equivalence of prey diversity and enrichment? - Behl - 2012 - Ecology and Evolution - Wiley Online Library

Trophic transfer of biodiversity effects: functional equivalence of prey diversity and enrichment? - Behl - 2012 - Ecology and Evolution - Wiley Online Library | Resilience of systems | Scoop.it
Trophic transfer of #biodiversity effects: functional equivalence of prey diversity and enrichment?
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Global forest expert panel presents key findings on link between biodiversity and carbon

Global forest expert panel presents key findings on link between biodiversity and carbon | Resilience of systems | Scoop.it
HYDERABAD, India (18 October, 2012)_After a year’s worth of analysis, a global forest expert panel has come to seven key findings showing a strong link between biodiversity and carbon and a wide array of issues that need to be addressed in schemes...
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22. Easy to understand lecture on Emergence and Complexity Lecture

(May 21, 2010) Professor Robert Sapolsky gives a lecture on emergence and complexity. He details how a small difference at one place in nature can have a huge effect on a system as time goes on. He calls this idea fractal magnification and applies it to many different systems that exist throughout nature.


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Innovation Breeds Complexity

Innovation Breeds Complexity | Resilience of systems | Scoop.it

The business intelligence and analytics space is in the midst of a new era of innovation and opportunity. Big Data environments, analytic platforms and cloud-based solutions are all growing in popularity across the data management landscape.


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What is a Tropical Forest? | Rainforest Alliance

What is a Tropical Forest? | Rainforest Alliance | Resilience of systems | Scoop.it
RT @RnfrstAlliance: Did you know?Tropical forests provide $ hundreds of billions worth of trade in timber & forest products: http://t.co/3vRbcL3N #forestfact...
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Cleaning The Atmosphere Of Carbon: African Forests Out Of Balance

Cleaning The Atmosphere Of Carbon: African Forests Out Of Balance | Resilience of systems | Scoop.it
Carbon held in African forests is on the rise, but there's no simple explanation.
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Complexity Theory And Search Engine Optimisation

Complexity Theory And Search Engine Optimisation | Resilience of systems | Scoop.it

Complexity Theory And Search Engine Optimisation


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Complexity and Context-Dependency

It is argued that given the “anti-anthropomorphic” principle—that the universe is not structured for our benefit—modelling trade-offs will necessarily mean that many of our models will be context-specific. It is argued that context-specificity is not the same as relativism. The “context heuristic”—that of dividing processing into rich, fuzzy context-recognition and crisp, conscious reasoning and learning—is outlined. The consequences of accepting the impact of this human heuristic in the light of the necessity of accepting context-specificity in our modelling of complex systems is examined. In particular the development of “islands” or related model clusters rather than over-arching laws and theories. It is suggested that by accepting and dealing with context (rather than ignoring it) we can push the boundaries of science a little further.

 

Complexity and Context-Dependency
Bruce Edmonds

FOUNDATIONS OF SCIENCE
2012, http://dx.doi.org/10.1007/s10699-012-9303-x


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Online Algorithmic Complexity Calculator

For a long time researchers from all disciplines have avoided the use of universal mathematical measures of information theory (beyond the traditional computable, but limited, Shannon information entropy), measures such as Kolmogorov-Chaitin complexity, Solomonoff-Levin universal induction or Bennett's logical depth, as well as other related measures, citing the fact that they are uncomputable.

These measures are, however, upper or lower semi-computable and are therefore approachable from below or above. For example, lossless compression algorithms can approximate Kolmogorov-Chaitin complexity (a compressed string is a sufficient test of non-randomness) and applications have proven to be successful in many areas. Nevertheless, compression algorithms fail to compress short strings and do not represent an option for approximating their Kolmogorov complexity. This online calculator provides a means for approximating the complexity of binary short strings for which no other method has existed until now by taking advantage of the formal connections among these measures and putting together several concepts and results from theoretical computer science.


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Case Based Method and Complexity Science, Part I (Byrne, Ragin, Complexity and Case-Based Method)

Case Based Method and Complexity Science, Part I (Byrne, Ragin, Complexity and Case-Based Method) | Resilience of systems | Scoop.it

Back in May of 2009 I interviewed David Byrne, who, along with Charles Ragin, has championed the usage of case-based method for modeling complex systems.


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Visual complexity - visual exploration on mapping complex networks

Visual complexity - visual exploration on mapping complex networks | Resilience of systems | Scoop.it

Visualcomplexity.com is a unified resource space for anyone interested in the visualization of complex networks.

Great source of information for projects and presentations.


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bricoleuric's curator insight, March 11, 2013 12:18 PM

Nice work for generating simple insights from complex systems

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Fifty Years of Computational Complexity

Fifty Years of Computational Complexity | Resilience of systems | Scoop.it
From Juris Hartmanis’ Observations About the Development of Theoretical Computer Science on the research leading to his seminal 1965 paper On the Computational Complexity of Algorithms with Richard Stearns.
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Biodiversity can be a potent climate adaptation tool: SA Official | RTCC - Responding to Climate Change

Biodiversity can be a potent climate adaptation tool: SA Official | RTCC - Responding to Climate Change | Resilience of systems | Scoop.it
Ecosystem protection can make big contributions to fighting climate change but only if the value of healthy ecosystems is fully appreciated, says South Africa’s director of resource use.
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Innovation Breeds Complexity

Innovation Breeds Complexity | Resilience of systems | Scoop.it

The business intelligence and analytics space is in the midst of a new era of innovation and opportunity. Big Data environments, analytic platforms and cloud-based solutions are all growing in popularity across the data management landscape.


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Eric Berlow: Simplifying complexity: distinguishing complex from complicated | 3 min Video on TED.com

TED Talks Ecologist Eric Berlow doesn't feel overwhelmed when faced with complex systems. He knows that more information can lead to a better, simpler solution.

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Case Based Method and Complexity Science, Part II (The SACS Toolkit)

Case Based Method and Complexity Science, Part II (The SACS Toolkit) | Resilience of systems | Scoop.it

My goal here is to introduce the case-based complexity science method my colleagues and I have developed for modeling complex systems. Our case-based modeling technique is called the SACS Toolkit--which stands for the Sociology and Complexity Science Toolkit.


Via Susan Bainbridge
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Genetically Modified Soy Threatens the Amazon Rainforest

Genetically Modified Soy Threatens the Amazon Rainforest

For related articles and more information, please visit OCA's Genetic Engineering page, Millions Against Monsanto page and our California News page.
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