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The Joker effect: cooperation driven by destructive agents

Understanding the emergence of cooperation is a central issue in evolutionary game theory. The hardest setup for the attainment of cooperation in a population of individuals is the Public Goods game in which cooperative agents generate a common good at their own expenses, while defectors "free-ride" this good. Eventually this causes the exhaustion of the good, a situation which is bad for everybody. Previous results have shown that introducing reputation, allowing for volunteer participation, punishing defectors, rewarding cooperators or structuring agents, can enhance cooperation. Here we present a model which shows how the introduction of rare, malicious agents -that we term jokers- performing just destructive actions on the other agents induce bursts of cooperation. The appearance of jokers promotes a rock-paper-scissors dynamics, where jokers outbeat defectors and cooperators outperform jokers, which are subsequently invaded by defectors. Thus, paradoxically, the existence of destructive agents acting indiscriminately promotes cooperation.

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Spaceweaver's curator insight, September 27, 2013 7:18 AM

Very interesting. Yet it is known that one of the best unifying forces is a common adversary.

Ethical Impact L3C's curator insight, September 27, 2013 4:48 PM

The silver lining and perhaps proof that good is meant to win!

Social Foraging
Dynamics of Social Interaction
Curated by Ashish Umre
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Hunger promotes acquisition of nonfood objects

Hunger promotes acquisition of nonfood objects | Social Foraging | Scoop.it
Hunger motivates people to consume food, for which finding and acquiring food is a prerequisite. We test whether the acquisition component spills over to nonfood objects: Are hungry people more likely to acquire objects that cannot satisfy their hunger? Five laboratory and field studies show that hunger increases the accessibility of acquisition-related concepts and the intention to acquire not only food but also nonfood objects. Moreover, people act on this intention and acquire more nonfood objects (e.g., binder clips) when they are hungry, both when these items are freely available and when they must be paid for. However, hunger does not influence how much they like nonfood objects. We conclude that a basic biologically based motivation can affect substantively unrelated behaviors that cannot satisfy the motivation. This presumably occurs because hunger renders acquisition-related concepts and behaviors more accessible, which influences decisions in situations to which they can be applied.
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Using an Improved SIFT Algorithm and Fuzzy Closed-Loop Control Strategy for Object Recognition in Cluttered Scenes

Using an Improved SIFT Algorithm and Fuzzy Closed-Loop Control Strategy for Object Recognition in Cluttered Scenes | Social Foraging | Scoop.it
Partial occlusions, large pose variations, and extreme ambient illumination conditions generally cause the performance degradation of object recognition systems. Therefore, this paper presents a novel approach for fast and robust object recognition in cluttered scenes based on an improved scale invariant feature transform (SIFT) algorithm and a fuzzy closed-loop control method. First, a fast SIFT algorithm is proposed by classifying SIFT features into several clusters based on several attributes computed from the sub-orientation histogram (SOH), in the feature matching phase only features that share nearly the same corresponding attributes are compared. Second, a feature matching step is performed following a prioritized order based on the scale factor, which is calculated between the object image and the target object image, guaranteeing robust feature matching. Finally, a fuzzy closed-loop control strategy is applied to increase the accuracy of the object recognition and is essential for autonomous object manipulation process. Compared to the original SIFT algorithm for object recognition, the result of the proposed method shows that the number of SIFT features extracted from an object has a significant increase, and the computing speed of the object recognition processes increases by more than 40%. The experimental results confirmed that the proposed method performs effectively and accurately in cluttered scenes.
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How Homer Simpson discovered the Higgs boson over a decade before scientists

How Homer Simpson discovered the Higgs boson over a decade before scientists | Social Foraging | Scoop.it
Homer Simpson almost predicted the mass of the elementary particle, the Higgs boson, more than a decade before it was discovered, according to a new book on maths in The Simpsons.

In the episode “The Wizard of Evergreen Terrace”, aired in 1998, Homer becomes an inventor and is shown in front of a blackboard with a complicated equation.

“That equation predicts the mass of the Higgs boson” Simon Singh said. “If you work it out, you get the mass of a Higgs boson that’s only a bit larger than the nano-mass of a Higgs boson actually is. It’s kind of amazing as Homer makes this prediction 14 years before it was discovered.”
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Spices form the basis of food pairing in Indian cuisine

Culinary practices are influenced by climate, culture, history and geography. Molecular composition of recipes in a cuisine reveals patterns in food preferences. Indian cuisine encompasses a number of diverse sub-cuisines separated by geographies, climates and cultures. Its culinary system has a long history of health-centric dietary practices focused on disease prevention and promotion of health. We study food pairing in recipes of Indian cuisine to show that, in contrast to positive food pairing reported in some Western cuisines, Indian cuisine has a strong signature of negative food pairing; more the extent of flavor sharing between any two ingredients, lesser their co-occurrence. This feature is independent of recipe size and is not explained by ingredient category-based recipe constitution alone. Ingredient frequency emerged as the dominant factor specifying the characteristic flavor sharing pattern of the cuisine. Spices, individually and as a category, form the basis of ingredient composition in Indian cuisine. We also present a culinary evolution model which reproduces ingredient use distribution as well as negative food pairing of the cuisine. Our study provides a basis for designing novel signature recipes, healthy recipe alterations and recipe recommender systems.
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Science and Culture: Data visualization nurtures an artistic movement

Science and Culture: Data visualization nurtures an artistic movement | Social Foraging | Scoop.it
In recent years, new ways of visualizing data and networks have had an enormous influence on many areas of research, allowing, for example, thousands of data points to depict clear trends in science citations or genomic patterns. But the impact of these methods has extended beyond areas of scientific inquiry: their aesthetic has also caught the attention of artists, whose work is characterized by the representation of network topologies and complex patterns of nodes and links.
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Adaptive Dynamics of Extortion and Compliance

Adaptive Dynamics of Extortion and Compliance | Social Foraging | Scoop.it

Direct reciprocity is a mechanism for the evolution of cooperation. For the iterated prisoner’s dilemma, a new class of strategies has recently been described, the so-called zero-determinant strategies. Using such a strategy, a player can unilaterally enforce a linear relationship between his own payoff and the co-player’s payoff. In particular the player may act in such a way that it becomes optimal for the co-player to cooperate unconditionally. In this way, a player can manipulate and extort his co-player, thereby ensuring that the own payoff never falls below the co-player’s payoff. However, using a compliant strategy instead, a player can also ensure that his own payoff never exceeds the co-player’s payoff. Here, we use adaptive dynamics to study when evolution leads to extortion and when it leads to compliance. We find a remarkable cyclic dynamics: in sufficiently large populations, extortioners play a transient role, helping the population to move from selfish strategies to compliance. Compliant strategies, however, can be subverted by altruists, which in turn give rise to selfish strategies. Whether cooperative strategies are favored in the long run critically depends on the size of the population; we show that cooperation is most abundant in large populations, in which case average payoffs approach the social optimum. Our results are not restricted to the case of the prisoners dilemma, but can be extended to other social dilemmas, such as the snowdrift game. Iterated social dilemmas in large populations do not lead to the evolution of strategies that aim to dominate their co-player. Instead, generosity succeeds.

 
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Game Theory Calls Cooperation Into Question

Game Theory Calls Cooperation Into Question | Social Foraging | Scoop.it

When the manuscript crossed his desk, Joshua Plotkin, a theoretical biologist at the University of Pennsylvania, was immediately intrigued. The physicist Freeman Dyson and the computer scientist William Press, both highly accomplished in their fields, had found a new solution to a famous, decades-old game theory scenario called the prisoner’s dilemma, in which players must decide whether to cheat or cooperate with a partner. The prisoner’s dilemma has long been used to help explain how cooperation might endure in nature. After all, natural selection is ruled by the survival of the fittest, so one might expect that selfish strategies benefiting the individual would be most likely to persist. But careful study of the prisoner’s dilemma revealed that organisms could act entirely in their own self-interest and still create a cooperative community.

Press and Dyson’s new solution to the problem, however, threw that rosy perspective into question. It suggested the best strategies were selfish ones that led to extortion, not cooperation.

Plotkin found the duo’s math remarkable in its elegance. But the outcome troubled him. Nature includes numerous examples of cooperative behavior. For example, vampire bats donate some of their blood meal to community members that fail to find prey. Some species of birds and social insects routinely help raise another’s brood. Even bacteria can cooperate, sticking to each other so that some may survive poison. If extortion reigns, what drives these and other acts of selflessness?

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How brain waves guide memory formation: Neurons hum at different frequencies to tell the brain which memories it should store

How brain waves guide memory formation: Neurons hum at different frequencies to tell the brain which memories it should store | Social Foraging | Scoop.it
Our brains generate a constant hum of activity: As neurons fire, they produce brain waves that oscillate at different frequencies. Long thought to be merely a byproduct of neuron activity, recent studies suggest that these waves may play a critical role in communication between different parts of the brain.
A new study from MIT neuroscientists adds to that evidence. The researchers found that two brain regions that are key to learning — the hippocampus and the prefrontal cortex — use two different brain-wave frequencies to communicate as the brain learns to associate unrelated objects. Whenever the brain correctly links the objects, the waves oscillate at a higher frequency, called “beta,” and when the guess is incorrect, the waves oscillate at a lower “theta” frequency.
“It’s like you’re playing a computer game and you get a ding when you get it right, and a buzz when you get it wrong. These two areas of the brain are playing two different ‘notes’ for correct guesses and wrong guesses,” says Earl Miller, the Picower Professor of Neuroscience, a member of MIT’s Picower Institute for Learning and Memory, and senior author of a paper describing the findings in the Feb. 23 online edition of Nature Neuroscience.
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Using Artificial Intelligence to Solve #SEO | SEJ

Using Artificial Intelligence to Solve #SEO | SEJ | Social Foraging | Scoop.it
I recently wrote about how to statistically model any given set of search results, which I hope gives marketing professionals a glimpse into how rapidly the SEO industry is currently changing in 2015. In that article, I had mentioned that the search engine model should be able to “self-calibrate”, or take its algorithms and weightings of those algorithms, and correlate the modeled data against real-world data from public search engines, to find a precise search engine modeling of any environment.

But taking thousands of parameters and trying to find the best combination of those that can curve fit search engine results is what we in computer science call a NP-Hard problem. It’s astronomically expensive in terms of computational processing. It’s really hard.

So how can we accomplish this task of self-calibrating a search engine model? Well, it turns out that we will turn to the birds — yes, birds — to solve this incredibly hard problem.

Full Disclosure: I am the CTO of MarketBrew, a company that uses artificial intelligence to develop and host a SaaS-based commercial search engine model.
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Study follows the rise of individuals with the greatest influence on collective group behavior

Study follows the rise of individuals with the greatest influence on collective group behavior | Social Foraging | Scoop.it
Who takes charge during a disaster or at an accident scene? The question has intrigued sociologists since Gustave Le Bon first studied "herd behavior" in nineteenth-century France. The question of an individual's influence over the activity of a collective has perplexed researchers, in countless studies of this behavior, ever since.
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Role of the motor system in language knowledge

Role of the motor system in language knowledge | Social Foraging | Scoop.it
All spoken languages express words by sound patterns, and certain patterns (e.g., blog) are systematically preferred to others (e.g., lbog). What principles account for such preferences: does the language system encode abstract rules banning syllables like lbog, or does their dislike reflect the increased motor demands associated with speech production? More generally, we ask whether linguistic knowledge is fully embodied or whether some linguistic principles could potentially be abstract. To address this question, here we gauge the sensitivity of English speakers to the putative universal syllable hierarchy (e.g., blif≻bnif≻bdif≻lbif) while undergoing transcranial magnetic stimulation (TMS) over the cortical motor representation of the left orbicularis oris muscle. If syllable preferences reflect motor simulation, then worse-formed syllables (e.g., lbif) should (i) elicit more errors; (ii) engage more strongly motor brain areas; and (iii) elicit stronger effects of TMS on these motor regions. In line with the motor account, we found that repetitive TMS pulses impaired participants’ global sensitivity to the number of syllables, and functional MRI confirmed that the cortical stimulation site was sensitive to the syllable hierarchy. Contrary to the motor account, however, ill-formed syllables were least likely to engage the lip sensorimotor area and they were least impaired by TMS. Results suggest that speech perception automatically triggers motor action, but this effect is not causally linked to the computation of linguistic structure. We conclude that the language and motor systems are intimately linked, yet distinct. Language is designed to optimize motor action, but its knowledge includes principles that are disembodied and potentially abstract.
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Human Face Recognition Found In Neural Network Based On Monkey Brains

Human Face Recognition Found In Neural Network Based On Monkey Brains | Social Foraging | Scoop.it
When neuroscientists use functional magnetic resonance imaging to see how a monkey’s brain responds to familiar faces, something odd happens. When shown a familiar face, a monkey’s brain lights up, not in a specific area, but in nine different ones.

Neuroscientists call these areas “face patches” and think they are neural networks with the specialised functions associated with face recognition. In recent years, researchers have begun to tease apart what each of these patches do. However, how they all function together is poorly understood.

Today, we get some insight into this problem thanks to the work of Amirhossein Farzmahdi at the Institute for Research on Fundamental Sciences in Tehran, Iran, and a few pals from around the world. These guys have built a number of neural networks, each with the same functions as those found in monkey brains. They’ve then joined them together to see how they work as a whole.

The result is a neural network that can recognise faces accurately. But that’s not all. The network also displays many of the idiosyncratic properties of face recognition in humans and monkeys, for example, the inability to recognise faces easily when they are upside down.
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frenchpass's comment, February 14, 5:32 AM
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A Graphic Biography of Darwin: the evolution of the father of evolution..Happy Birthday Darwin

A Graphic Biography of Darwin: the evolution of the father of evolution..Happy Birthday Darwin | Social Foraging | Scoop.it
Charles Darwin — father of evolution, decoder of human emotion, hopeless romantic, occasional grump — was born on February 12, 1809. From Smithsonian Books comes Darwin: A Graphic Biography (public library; UK) — a fine addition to outstanding graphic nonfiction, joining other famous graphic biographies of cultural icons like Richard Feynman, Hunter S. Thompson, The Carter Family, and Steve Jobs. Written by journalist Eugene Byrne and illustrated by cartoonist Simon Gurr, the story takes us into the life and times of Darwin — from a curious child on a “beeting” expedition to a patient young man persevering through the ups and downs of battling creationist oppression to a worldwide legend — tracing his intellectual adventures amidst the fascinating scientific world of the 1800s.
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Adaptive Topographies and Equilibrium Selection in an Evolutionary Game

Adaptive Topographies and Equilibrium Selection in an Evolutionary Game | Social Foraging | Scoop.it
It has long been known in the field of population genetics that adaptive topographies, in which population equilibria maximise mean population fitness for a trait regardless of its genetic bases, do not exist. Whether one chooses to model selection acting on a single locus or multiple loci does matter. In evolutionary game theory, analysis of a simple and general game involving distinct roles for the two players has shown that whether strategies are modelled using a single ‘locus’ or one ‘locus’ for each role, the stable population equilibria are unchanged and correspond to the fitness-maximising evolutionary stable strategies of the game. This is curious given the aforementioned population genetical results on the importance of the genetic bases of traits. Here we present a dynamical systems analysis of the game with roles detailing how, while the stable equilibria in this game are unchanged by the number of ‘loci’ modelled, equilibrium selection may differ under the two modelling approaches.
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Topicality and Impact in Social Media: Diverse Messages, Focused Messengers

Topicality and Impact in Social Media: Diverse Messages, Focused Messengers | Social Foraging | Scoop.it
We have a limited understanding of the factors that make people influential and topics popular in social media. Are users who comment on a variety of matters more likely to achieve high influence than those who stay focused? Do general subjects tend to be more popular than specific ones? Questions like these demand a way to detect the topics hidden behind messages associated with an individual or a keyword, and a gauge of similarity among these topics. Here we develop such an approach to identify clusters of similar hashtags in Twitter by detecting communities in the hashtag co-occurrence network. Then the topical diversity of a user’s interests is quantified by the entropy of her hashtags across different topic clusters. A similar measure is applied to hashtags, based on co-occurring tags. We find that high topical diversity of early adopters or co-occurring tags implies high future popularity of hashtags. In contrast, low diversity helps an individual accumulate social influence. In short, diverse messages and focused messengers are more likely to gain impact.
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Data Mining Indian Recipes Reveals New Food Pairing Phenomenon

Data Mining Indian Recipes Reveals New Food Pairing Phenomenon | Social Foraging | Scoop.it
The food pairing hypothesis is the idea that ingredients that share the same flavors ought to combine well in recipes. For example, the English chef Heston Blumenthal discovered that white chocolate and caviar share many flavors and turn out to be a good combination. Other unusual combinations that seem to confirm the hypothesis include strawberries and peas, asparagus and butter, and chocolate and blue cheese.

But in recent years researchers have begun to question how well this hypothesis holds in different cuisines. For example, food pairing seems to be common in North American and Western European cuisines but absent in cuisines from southern Europe and East Asia.

Today, Anupam Jain and pals at the Indian Institute of Technology Jodhpur say the opposite effect occurs in Indian cuisine. In this part of the world, foods with common flavors are less likely to appear together in the same recipe. And the presence of certain spices make the negative food pairing effect even stronger.
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avocetnail's comment, February 28, 12:40 AM
Its fabulous :)
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Networks Reveal the Connections of Disease: the hidden biological missteps that make us sick.

Networks Reveal the Connections of Disease: the hidden biological missteps that make us sick. | Social Foraging | Scoop.it
efan Thurner is a physicist, not a biologist. But not long ago, the Austrian national health insurance clearinghouse asked Thurner and his colleagues at the Medical University of Vienna to examine some data for them. The data, it turned out, were the anonymized medical claims records — every diagnosis made, every treatment given — of most of the nation, which numbers some 8 million people. The question was whether the same standard of care could continue if, as had recently happened in Greece, a third of the funding evaporated. But Thurner thought there were other, deeper questions that the data could answer as well.

In a recent paper in the New Journal of Physics, Thurner and his colleagues Peter Klimek and Anna Chmiel started by looking at the prevalence of 1,055 diseases in the overall population. They ran statistical analyses to uncover the risk of having two diseases together, identifying pairs of diseases for which the percentage of people who had both was higher than would be expected if the diseases were uncorrelated — in other words, a patient who had one disease was more likely than the average person to have the other. They applied statistical corrections to reduce the risk of drawing false connections between very rare and very common diseases, as any errors in diagnosis will get magnified in such an analysis. Finally, the team displayed their results as a network in which the diseases are nodes that connect to one another when they tend to occur together.
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Iterated Prisoner’s Dilemma contains strategies that dominate any evolutionary opponent

Iterated Prisoner’s Dilemma contains strategies that dominate any evolutionary opponent | Social Foraging | Scoop.it
The two-player Iterated Prisoner’s Dilemma game is a model for both sentient and evolutionary behaviors, especially including the emergence of cooperation. It is generally assumed that there exists no simple ultimatum strategy whereby one player can enforce a unilateral claim to an unfair share of rewards. Here, we show that such strategies unexpectedly do exist. In particular, a player X who is witting of these strategies can (i) deterministically set her opponent Y’s score, independently of his strategy or response, or (ii) enforce an extortionate linear relation between her and his scores. Against such a player, an evolutionary player’s best response is to accede to the extortion. Only a player with a theory of mind about his opponent can do better, in which case Iterated Prisoner’s Dilemma is an Ultimatum Game.
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Science vs Conspiracy: Collective Narratives in the Age of Misinformation

Science vs Conspiracy: Collective Narratives in the Age of Misinformation | Social Foraging | Scoop.it
The large availability of user provided contents on online social media facilitates people aggregation around shared beliefs, interests, worldviews and narratives. In spite of the enthusiastic rhetoric about the so called collective intelligence unsubstantiated rumors and conspiracy theories—e.g., chemtrails, reptilians or the Illuminati—are pervasive in online social networks (OSN). In this work we study, on a sample of 1.2 million of individuals, how information related to very distinct narratives—i.e. main stream scientific and conspiracy news—are consumed and shape communities on Facebook. Our results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents. To test potential biases induced by the continued exposure to unsubstantiated rumors on users’ content selection, we conclude our analysis measuring how users respond to 4,709 troll information—i.e. parodistic and sarcastic imitation of conspiracy theories. We find that 77.92% of likes and 80.86% of comments are from users usually interacting with conspiracy stories.
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Computational Anthropology Reveals How the Most Important People in History Vary by Culture

Computational Anthropology Reveals How the Most Important People in History Vary by Culture | Social Foraging | Scoop.it
Data mining Wikipedia people reveals some surprising differences in the way eastern and western cultures identify important figures in history, say computational anthropologists.

 

The study of differences between cultures has been revolutionized by the internet and the behavior of individuals online. Indeed, this phenomenon is behind the birth of the new science of computational anthropology.

 

One particularly fruitful window into the souls of different cultures is Wikipedia, the crowd-sourced online encyclopedia with over 31 million articles in 285 different languages. One important category consists of articles about significant people. And not just anyone can appear. Wikipedia has specific criteria that notable people must meet to merit inclusion.

 

So an interesting question is how the most important people vary from one language version of Wikipedia to another. Clearly, these differences must arise from the cultural forces that determine notability (or notoriety) in different parts of the world.

 

Today, Peter Gloor at the Massachusetts Institute of Technology in Cambridge and a few pals say they have calculated the  most significant people in four different language versions of Wikipedia—English, German, Chinese and Japanese. And they say important differences emerge, not just in the names that appear, but in the broader make-up of the lists.

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FIN – the thumb-ring that aims to take human-machine interaction to the next level

FIN – the thumb-ring that aims to take human-machine interaction to the next level | Social Foraging | Scoop.it
Wearable technology market is still in early evolution stages with growing adoption in segments such as fitness and wellness, healthcare and medical, industrial and military and infotainment sectors. According to industry reports, the global wearable technology market is expected to reach USD 5.8 billion in 2018.

There are multiple factors that have contributed to this rise & evolution of the wearable market. The recent technology advancements – comprising of an integration of compactness, portability, usability, data, analytics & other multi functionalities in one product – has led to a booming industry. A change in consumer paradigm has also contributed to the rise of this industry. The innovation and product mindset is rapidly evolving in India and Indian entrepreneurs are waking up to this. Indian entrepreneurs are optimistic about this opportunity & are aiming create products of global relevance.
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Dynamics of gene circuits shapes evolvability

Dynamics of gene circuits shapes evolvability | Social Foraging | Scoop.it
To what extent does the dynamical mechanism producing a specific biological phenotype bias the ability to evolve into novel phenotypes? We use the interpretation of a morphogen gradient into a single stripe of gene expression as a model phenotype. Although there are thousands of three-gene circuit topologies that can robustly develop a stripe of gene expression, the vast majority of these circuits use one of just six fundamentally different dynamical mechanisms. Here we explore the potential for gene circuits that use each of these six mechanisms to evolve novel phenotypes such as multiple stripes, inverted stripes, and gradients of gene expression. Through a comprehensive and systematic analysis, we find that circuits that use alternative mechanisms differ in the likelihood of reaching novel phenotypes through mutation. We characterize the phenotypic transitions and identify key ingredients of the evolutionary potential, such as sensitive interactions and phenotypic hubs. Finally, we provide an intuitive understanding on how the modular design of a particular mechanism favors the access to novel phenotypes. Our work illustrates how the dynamical mechanism by which an organism develops constrains how it can evolve. It is striking that these dynamical mechanisms and their impact on evolvability can be observed even for such an apparently simple patterning task, performed by just three-node circuits.
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The spontaneous emergence of conventions: An experimental study of cultural evolution

The spontaneous emergence of conventions: An experimental study of cultural evolution | Social Foraging | Scoop.it
How do shared conventions emerge in complex decentralized social systems? This question engages fields as diverse as linguistics, sociology, and cognitive science. Previous empirical attempts to solve this puzzle all presuppose that formal or informal institutions, such as incentives for global agreement, coordinated leadership, or aggregated information about the population, are needed to facilitate a solution. Evolutionary theories of social conventions, by contrast, hypothesize that such institutions are not necessary in order for social conventions to form. However, empirical tests of this hypothesis have been hindered by the difficulties of evaluating the real-time creation of new collective behaviors in large decentralized populations. Here, we present experimental results—replicated at several scales—that demonstrate the spontaneous creation of universally adopted social conventions and show how simple changes in a population’s network structure can direct the dynamics of norm formation, driving human populations with no ambition for large scale coordination to rapidly evolve shared social conventions.
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Hudooku, the online platform that connects forum discussions

Hudooku, the online platform that connects forum discussions | Social Foraging | Scoop.it
The question that gave rise to Hudooku.com was: “Is there a better way to break down the silos of knowledge that exist on the internet?” Hudooku means quest or search in Kannada and is a platform to connect people anywhere in the world so that they can exchange insights and experiences quickly and efficiently on any topic. It gives users access to forums from any website on the subject that he or she is looking for and is also available as a mobile app for android and iOS.
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