Agent Societies


Mathematicians Decode the Surprising Complexity of Cow Herds

WIRED

Think of a cow as existing in three states: moseying around feeding on grass, standing there staring, and lying down resting. They did it mathematically, building on their earlier work that modeled how a cow moves between its various states. This new study scales that up to explore how multiple cows with their multiple states interact to create crowd dynamics--the so-called emergent properties of cow biology. Welcome to the burgeoning field of complex systems science.



A 'Digital Alchemist' Unravels the Mysteries of Complexity

WIRED

Their simulations showed that entropy drives simple pyramidal shapes called tetrahedra to spontaneously assemble into a quasicrystal--a spatial pattern so complex that it never exactly repeats. The discovery was the first indication of the powerful, paradoxical role that entropy plays in the emergence of complexity and order. Glotzer's team can reverse-engineer the shape of the microscopic building blocks that will assemble themselves into the desired form. We typically think entropy means disorder, and so a disordered structure would have more entropy than an ordered structure.



The Animal Restlessness in Artificial Objects

The New Yorker

When the artist Thomas Jackson began working on "Emergent Behavior," in 2011, he started with found objects. In the color palette of a birthday party, Jackson's bits of plastic and rubber evoke schools of fish that move like ink in the water, or birds streaking the sky. The flocks in Jackson's pictures are so cheeky and vibrant, so artificial and yet so full of apparent animal instinct, that it's hard to believe a photographer could have created the tableaux without an assist from digital editing. "Emergent Behavior" will open at the Miller Yezerski Gallery, in Boston, on November 18th, and will be on display through December 23rd.


An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (MIT Press): Uri Wilensky, William Rand: 9780262731898: Amazon.com: Books

@machinelearnbot

"An Introduction to Agent-based Modeling" is a well-written and honest look at the benefits and limitations of agent-based modeling. Agent-based modeling demonstrates that agents acting of their own accord will collectively self-organize into predictable macro-behavior (a concept that's similar to Adam Smith's invisible hand theory). The authors are honest enough to admit that agent-based modeling is not predictive (it's too determinant on the algorithms and parameters that humans assign the model), but it can be a powerful tool for education and communication. There are of course a lot of limitations to this book, and there are a lot of questions that the book doesn't answer.


AI company calls for global collaboration on industry development

#artificialintelligence

There's Finally An Ethics Committee For How We Handle AI Artificial Intelligence Is It Real? Artificial intelligence could improve diagnostic power of lung function tests European Lung ...


China Calls For Greater Global Cooperation Against Terrorism

International Business Times

Chinese Premier Li Keqiang called on Saturday for greater global cooperation against terrorism, state media said, as the Asian giant seeks greater international support for its anti-terror fight. Speaking at an Asia-Europe summit, Li said various security challenges - conventional and unconventional - remain prominent even though those regions had remained generally stable and peaceful. Hundreds of people have been killed in the past few years in China's western region of Xinjiang, home to the mainly Muslim Uighur people. The government blames the violence on Islamist militants who want to establish an independent state called East Turkestan.


Big Data in Complex Systems: Challenges and Opportunities

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This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are otherfoundational challenges treated in this book.


Artificial Intelligence and Complex Systems - Unified Inbox

#artificialintelligence

The earth is the most comprehensive complex system we have access to and hundreds of scientist have worked on the models that mimic its behavior. For most systems, we are not going to be able to dedicate the resources that has been put into climate modeling, but artificial intelligence can help observe, measure and record the interaction between attributes, opening up understanding of these systems. Set to the task, over time, artificial intelligence is ideally suited to discover the intricacies of how variables interact in a system that is too comprehensive for us to currently understand without hundreds of scientists setting themselves to the task--resources our policy makes are unlikely to ever have access to. Camilla Urdahl works for unified communications company Unified Inbox, and will speak to strangers at events about communications strategies, new business models, and how best to accelerate innovation.