Social Foraging
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Social Foraging
Dynamics of Social Interaction
Curated by Ashish Umre
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How Large Is Your Network? The Power of 2nd and 3rd Degree Connections

How Large Is Your Network? The Power of 2nd and 3rd Degree Connections | Social Foraging | Scoop.it

Imagine you receive a digital camera with a built-in memory card for your birthday. You bring it on a six-month trip to Africa where you won’t have access to a computer—so all the photos you want to keep must fit on that one memory card. When you first arrive you snap photos freely, and maybe even record some short videos. But after a month or so, the memory card starts filling up. Now you’re forced to be more judicious in deciding how to use that storage. You might take fewer pictures. You might decide to reduce the quality/resolution of the photos you do take in order to fit more. You’ll probably cut back on videos. Still, inevitably, you’ll hit capacity, at which point if you wish to take new photos you’ll have to delete old ones.

 

The maximum number of relationships we can realistically manage—the number that can fit on the memory card, as it were—is described as Dunbar’s Number, after evolutionary psychologist Robin Dunbar. But maybe it shouldn’t be. In the early nineties, Dunbar studied the social connections within groups of monkeys and apes. He theorized that the maximum size of their overall social group was limited by the small size of their neocortex. It requires brainpower to socialize with other animals, so it follows that the smaller the primate’s brain, the less efficient it is at socializing, and the fewer other primates it can befriend. He then extrapolated that humans have an especially large neocortex and so should be able to more efficiently socialize with a great number of humans. Based on our neocortex size, Dunbar calculated that humans should be able to maintain relationships with no more than roughly 150 people at a time. To cross-check the theory, he studied anthropological field reports and other clues from villages and tribes in the hunter-gatherer era. Sure enough, he found the size of surviving tribes tended to be about 150. And when he observed modern human societies, he found that many businesses and military groups organize their people into cliques of about 150. To wit: Dunbar’s Number of 150.

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Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing

Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing | Social Foraging | Scoop.it

Humans have been shown to adapt to the temporal statistics of timing tasks so as to optimize the accuracy of their responses, in agreement with the predictions of Bayesian integration. This suggests that they build an internal representation of both the experimentally imposed distribution of time intervals (the prior) and of the error (the loss function). The responses of a Bayesian ideal observer depend crucially on these internal representations, which have only been previously studied for simple distributions. To study the nature of these representations we asked subjects to reproduce time intervals drawn from underlying temporal distributions of varying complexity, from uniform to highly skewed or bimodal while also varying the error mapping that determined the performance feedback. Interval reproduction times were affected by both the distribution and feedback, in good agreement with a performance-optimizing Bayesian observer and actor model.

 

Bayesian model comparison highlighted that subjects were integrating the provided feedback and represented the experimental distribution with a smoothed approximation. A nonparametric reconstruction of the subjective priors from the data shows that they are generally in agreement with the true distributions up to third-order moments, but with systematically heavier tails. In particular, higher-order statistical features (kurtosis, multimodality) seem much harder to acquire. Our findings suggest that humans have only minor constraints on learning lower-order statistical properties of unimodal (including peaked and skewed) distributions of time intervals under the guidance of corrective feedback, and that their behavior is well explained by Bayesian decision theory.

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The evolution of cooperation by social exclusion

The exclusion of freeriders from common privileges or public acceptance is widely found in the real world. Current models on the evolution of cooperation with incentives mostly assume peer sanctioning, whereby a punisher imposes penalties on freeriders at a cost to itself. It is well known that such costly punishment has two substantial difficulties. First, a rare punishing cooperator barely subverts the asocial society of freeriders, and second, natural selection often eliminates punishing cooperators in the presence of non-punishing cooperators (namely, "second-order" freeriders). We present a game-theoretical model of social exclusion in which a punishing cooperator can exclude freeriders from benefit sharing. We show that such social exclusion can overcome the above-mentioned difficulties even if it is costly and stochastic. The results do not require a genetic relationship, repeated interaction, reputation, or group selection. Instead, only a limited number of freeriders are required to prevent the second-order freeriders from eroding the social immune system.

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Using DNA in the hunt for 'dark matter', the glue of galaxies

Using DNA in the hunt for 'dark matter', the glue of galaxies | Social Foraging | Scoop.it

That wonder molecule of life on Earth, DNA, is now being enlisted in the search for an exotic species zooming through the cosmos: dark matter.

 

As far back as the 1930s, astronomers watching distant galaxies saw that something was missing: there were not enough stars to account for the heavy gravity needed to whirl galaxies so quickly or smash them together so swiftly.

 

Something else must surround and suffuse every galaxy, some kind of gravitational glue.

 

Cosmologists dubbed it "dark matter", as it sheds no light. And, they say, it far outweighs all the ordinary matter – stars and planets – that they can account for.

 

The leading candidate for this mystery substance: subatomic particles called WIMPs, or "weakly interacting massive particles". They can't be seen, but they should be nearly everywhere (at least in our galactic neighbourhood). If true, every once in a great while, a zooming WIMP will by chance smack the nucleus of an atom like a well-struck cue against an eight ball.

 

For two decades, physicists have built detectors crammed with dense crystals and other heavy materials to try to catch WIMPs in this act. The results have been largely equivocal. There's no smoking WIMP signal yet – although hints have appeared.

 

Proposals for the next generation of dark matter detectors run into the tens or hundreds of millions of dollars. One such project would require an empty mine filled with a cubic kilometre of gas.

 

But now, a group of big-name theoretical physicists and biologists has proposed a radical new type of detector that dangles DNA as dark-matter bait. At coffee-table size, it would be much less expensive than other proposed detectors, they say.

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The Algorithmic Origins of Life - Sara Walker (SETI Talks)

The origin of life is arguably one of the greatest unanswered questions in science. A primary challenge is that without a proper definition for life -- a notoriously challenging problem in its own right -- the problem of how life began is not well posed. Here we propose that the transition from non-life to life may correspond to a fundamental shift in causal structure, where information gains direct, and context-dependent, causal efficacy over matter, a transition that may be mapped to a nontrivial distinction in how living systems process information.

 

Dr. Walker will discuss potential measures of such a transition, which may be amenable to laboratory study, and how the proposed mechanism corresponds to the onset of the unique mode of (algorithmic) information processing characteristic of living systems.

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Conference in honour of Dan Sperber - INSTITUT JEAN NICOD

Conference in honour of Dan Sperber - INSTITUT JEAN NICOD | Social Foraging | Scoop.it

Institut Jean Nicod will organise a conference in honour of Dan Sperber on 12-15 Dec., 2012, with the participation of leading figures in the areas relevant to Sperber’s work: philosophy, anthropology, psychology, and linguistics.

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Computer Communication within Industrial Distributed Environment - a Survey

Nowadays, computer systems are presented in almost all types of human activity and they support any kind of industry as well. Most of these systems are distributed where the communication between nodes is based on computer networks of any kind. Connectivity between system components is the key issue when designing distributed systems, especially systems of industrial informatics. The industrial area requires a wide range of computer communication means, particularly time-constrained and safety-enhancing ones. From fieldbus and industrial Ethernet technologies through wireless and internet-working solutions to standardization issues, there are many aspects of computer networks uses and many interesting research domains. Lots of them are quite sophisticated or even unique. The main goal of this paper is to present the survey of the latest trends in the communication domain of industrial distributed systems and to emphasize important questions as dependability, and standardization. Finally, the general assessment and estimation of the future development is provided. The presentation is based on the abstract description of dataflow within a system.

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Four Perspectives On Augmented Reality And Its Future

Four Perspectives On Augmented Reality And Its Future | Social Foraging | Scoop.it

Augmented reality (AR) — the term does not exactly jump off the tongue. But the concepts behind the technology are beginning to change what we think of ourselves, objects and the people in the world that surround us.

 

I am no expert on AR but over the past few months I have seen enough examples of the way mobile devices change our reality to start wondering if what I am looking at is really what I think it is. With Google Glass people will see a data layer that is not visible to the human eye. Through an iOS or Android device, a person can now use apps to provide a different context for playing games, monitoring environments or tracking one’s brain activity.

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Network Cosmology: Brain, Universe, Internet governed by same fundamental laws

Network Cosmology: Brain, Universe, Internet governed by same fundamental laws | Social Foraging | Scoop.it

Prediction and control of the dynamics of complex networks is a central problem in network science. Structural and dynamical similarities of different real networks suggest that some universal laws might accurately describe the dynamics of these networks, albeit the nature and common origin of such laws remain elusive. Here we show that the causal network representing the large-scale structure of spacetime in our accelerating universe is a power-law graph with strong clustering, similar to many complex networks such as the Internet, social, or biological networks. We prove that this structural similarity is a consequence of the asymptotic equivalence between the large-scale growth dynamics of complex networks and causal networks. This equivalence suggests that unexpectedly similar laws govern the dynamics of complex networks and spacetime in the universe, with implications to network science and cosmology.

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Sophisticated worms: In a new study of worm locomotion, researchers show that a single type of motor neuron drives an entire sensorimotor loop.

Sophisticated worms:     In a new study of worm locomotion, researchers show that a single type of motor neuron drives an entire sensorimotor loop. | Social Foraging | Scoop.it

It’s one of the basic tenets of biological research — by studying simple “model” systems, researchers hope to gain insight into the workings of more complex organisms.

 

Caenorhabditis elegans — a tiny, translucent worm with just 302 neurons — has long been studied to understand how a nervous system is capable of translating sensory input into motion and behavior.

 

New research by the laboratory of Professor Aravi Samuel in the Harvard Physics Department and the Center for Brain Sciences, however, is uncovering surprising sophistication in the individual neurons of the worm’s “simple” nervous system.

 

Quan Wen, a postdoctoral fellow in the Samuel lab who spearheaded the research, has shown that a single type of neuron in the C. elegans nerve cord (the worm equivalent of the spinal cord) packs both sensory and motor capabilities. The locomotory systems of most creatures, including humans, use different neurons to gather sensory information about animal movement or to send signals to muscle cells. C. elegans encodes an entire sensorimotor loop into one particularly sophisticated type of motor neuron. The work is described in the journal Neuron.

 

“This type of circuit is completely new — this is not the way people think about any motor circuit,” Samuel said.

 

The discovery arose from researchers asking a simple question: How does C. elegans organize its movements?

 

“What sent us down this road was a phenomenon that we’ve observed in the lab,” Samuel explained. “If we place the worms in a wet environment, they will swim. On surfaces, however, they crawl. The question was how the animal ‘knew’ to do each. The answer had to be feedback: Something is telling the worm that it’s in a low-viscous environment here, and a high-viscous environment there.

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2nd International Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS 2013): From Sensor Networks to Sensor Clouds

2nd International Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS 2013): From Sensor Networks to Sensor Clouds | Social Foraging | Scoop.it

Due to recent advances in electronics and communication technologies, Sensor Networks (SNs) have been introduced and are currently emerging as one of the most disruptive technologies enabling and supporting next generation ubiquitous and pervasive computing scenarios. A SN consists of spatially distributed sensor nodes to cooperatively monitor physical, environmental, or human conditions, such as temperature, sound, vibration, pressure, motion, heart rate, blood pressure, ECG, etc. Each node is typically equipped with a radio transceiver or another communications device, a small microcontroller, a flash memory, an energy source, usually a battery; in addition, sensor nodes can also incorporate actuators to directly control devices.

 

Application domains of SNs are broad and range from habitat and ecological monitoring, structural/building monitoring and smart space control, emergency response and remote surveillance, health care and transport systems. In recent years there has been a great surge of interest in SN-based applications, mainly focused on developing hardware, software, and networking architectures needed to enable such applications. In general, SNs can operate as stand-alone networks or be connected to other networks. Real-world experiments have been done with both types of network architectures, even though at much smaller scales than envisioned for the future. In the future, SN will be often seamlessly integrated with decentralized distributed systems based on other networks, particularly IP-based networks. Such integration will raise new issues in the development, deployment and management of such large-scale SN-based systems.

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Rhythmic brain waves: Fluctuations in electrical activity may allow brain to form thoughts and memories

Rhythmic brain waves: Fluctuations in electrical activity may allow brain to form thoughts and memories | Social Foraging | Scoop.it

One of the biggest puzzles in neuroscience is how our brains encode thoughts, such as perceptions and memories, at the cellular level. Some evidence suggests that ensembles of neurons represent each unique piece of information, but no one knows just what these ensembles look like, or how they form.

 

A new study from researchers at MIT and Boston University (BU) sheds light on how neural ensembles form thoughts and support the flexibility to change one's mind. The research team, led by Earl Miller, the Picower Professor of Neuroscience at MIT, identified groups of neurons that encode specific behavioral rules by oscillating in synchrony with each other.

The results suggest that the nature of conscious thought may be rhythmic, according to the researchers, who published their findings in the Nov. 21 issue of Neuron.

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Scientists See Advances in Deep Learning, a Part of Artificial Intelligence

Scientists See Advances in Deep Learning, a Part of Artificial Intelligence | Social Foraging | Scoop.it

Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.

 

The advances have led to widespread enthusiasm among researchers who design software to perform human activities like seeing, listening and thinking. They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.

 

The technology, called deep learning, has already been put to use in services like Apple’s Siri virtual personal assistant, which is based on Nuance Communications’ speech recognition service, and in Google’s Street View, which uses machine vision to identify specific addresses.

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Nicholas Smith's curator insight, March 22, 2013 6:45 AM

This article talks about advances made in deep learning, a part of artificial intelligence. This is quite an interesting article as deep learning is the technology which Apple's Siri uses and Google's Street View uses.

 

The interesting concept of deep learning is 'recognition', for example Apple's Siri voice recognition. It is absolutely extraordinary to think that an AI is able to recognize somebody when they speak and react to that person's command or question. Even with such amazing breakthroughs like Siri, in ten to fifteen years, we are most likely going to see more voice recognition programs in GPS's, phones and many more devices.

 

Deep learning is an extremely interesting and complex system. This source provides a decent insight into deep learning and artificial intelligent and was extremely helpful with my research topic.

Miro Svetlik's curator insight, April 15, 2013 5:27 AM

Deep learning is one of the subjects I need to dig deeper in.

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Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle

Phase Resetting Reveals Network Dynamics Underlying a Bacterial Cell Cycle | Social Foraging | Scoop.it

Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modules, or how information flows from one module to another. In this work we introduce an approach that provides this complementary information and apply it to the bacterium Caulobacter crescentus, a paradigm for cell-cycle control. Operationally, we use an inducible promoter to express the essential transcriptional regulatory gene ctrA in a periodic, pulsed fashion. This chemical perturbation causes the population of cells to divide synchronously, and we use the resulting advance or delay of the division times of single cells to construct a phase resetting curve. We find that delay is strongly favored over advance. This finding is surprising since it does not follow from the temporal expression profile of CtrA and, in turn, simulations of existing network models. We propose a phenomenological model that suggests that the cell-cycle network comprises two distinct functional modules that oscillate autonomously and couple in a highly asymmetric fashion. These features collectively provide a new mechanism for tight temporal control of the cell cycle in C. crescentus. We discuss how the procedure can serve as the basis for a general approach for probing network dynamics, which we term chemical perturbation spectroscopy (CPS).

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Carl Zeiss moves into machine vision - Vision Systems Design

Carl Zeiss moves into machine vision - Vision Systems Design | Social Foraging | Scoop.it

Carl Zeiss Industrial Metrology (Oberkochen, Germany) has strengthened its presence in the car body inspection market by acquiring HGV Vosseler (Öhringen, Germany) and forming a new company -- Carl Zeiss Machine Vision.

 

HGV Vosseler is one of the world's three leading companies that manufacture 3-D inline measuring systems that are mounted on robots primarily for car body inspection directly on the production line in the automotive industry.

 

Dr. Kai-Udo Modrich will be responsible for the new company which employs around 60 individuals in Öhringen.

 

The industrial metrology business group of Carl Zeiss manufactures metrology solutions that include co-ordinate measuring machines and metrology software for the automotive, aircraft, mechanical engineering and plastics industries.

 

Around 2,100 employees work for the company, generating revenues totaling 394m Euros in fiscal year 2010/2011. Headquartered in Oberkochen, it operates manufacturing sites in Germany, the USA, China and India.

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Imaging Mind's curator insight, July 29, 2014 3:47 AM

Smart move by legendary imaging company to acquire position in robotics/automative industry.

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Evolution: Social exclusion leads to cooperation

The study, by IIASA Evolution and Ecology Program postdoctoral fellow Tatsuya Sasaki, provides a simple new model that ties punishment by social exclusion to the benefits for the punisher. It may help explain how social exclusion arose in evolution, and how it promotes cooperation among groups.

 

"Punishment is a common tool to promote cooperation in the real world," says Sasaki. "And social exclusion is a common way to do it." From reef fish to chimpanzees, there are many examples of animals that promote cooperation by excluding free riders. Humans, too, use social exclusion as a way to keep people following societal rules. For example, says Sasaki, traffic violators or drunk drivers may be punished by losing their drivers licenses, essentially excluding them from the driving community. But how did such punishment evolve?

 

The new research, which uses evolutionary game theory, shows that excluding people from a group indirectly provides rewards for the punisher, thus encouraging them to exclude those they have reason to punish. "Imagine a pie," says Sasaki. The fewer people sharing that pie, the more pie everyone gets. But you can't deny people pie for no reason.

 

There needs to be a justification, for example, that someone did not contribute to baking the pie—a free rider, in game theory parlance. Sasaki says, "If you punish free riders with social exclusion, it increases the payoff for the punishers." Social exclusion also promotes cooperation, the study shows. If free riders are denied a piece of the pie, people will be more likely to cooperate and ensure they get to share in the reward.

 

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Method developed by Finnish researchers targets diagnosis of early Alzheimer's disease

Method developed by Finnish researchers targets diagnosis of early Alzheimer's disease | Social Foraging | Scoop.it

A software tool called PredictAD developed by VTT Technical Research Centre of Finland promises to enable earlier diagnosis of the disease on the basis of patient measurements and large databases. Alzheimer's disease currently takes on average 20 months to diagnose in Europe. VTT has shown that the new method could allow as many as half of patients to get a diagnosis approximately a year earlier.

 

VTT has been studying whether patients suffering from memory problems could be diagnosed with Alzheimer's disease at an earlier stage in the light of their measurement values. The study involved processing patient measurements using VTT's PredictAD system, which was developed to support clinical decision-making. The findings were published in the Journal of Alzheimer's Disease in November 2012.

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How Random Is Social Behaviour? Disentangling Social Complexity through the Study of a Wild House Mouse Population

How Random Is Social Behaviour? Disentangling Social Complexity through the Study of a Wild House Mouse Population | Social Foraging | Scoop.it

Out of all the complex phenomena displayed in the behaviour of animal groups, many are thought to be emergent properties of rather simple decisions at the individual level. Some of these phenomena may also be explained by random processes only. Here we investigate to what extent the interaction dynamics of a population of wild house mice (Mus domesticus) in their natural environment can be explained by a simple stochastic model. We first introduce the notion of perceptual landscape, a novel tool used here to describe the utilisation of space by the mouse colony based on the sampling of individuals in discrete locations. We then implement the behavioural assumptions of the perceptual landscape in a multi-agent simulation to verify their accuracy in the reproduction of observed social patterns. We find that many high-level features – with the exception of territoriality – of our behavioural dataset can be accounted for at the population level through the use of this simplified representation. Our findings underline the potential importance of random factors in the apparent complexity of the mice's social structure. These results resonate in the general context of adaptive behaviour versus elementary environmental interactions.

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The Benefits of Cycling: Viewing Cyclists as Travellers rather than Non-motorists

This chapter provides a think piece on economic evaluation and policy for cycling. Bicycle investments are often motivated by a desire to improve health, the environment and congestion conditions. However, we argue that since the bicycle is a part of the transport system, it should be evaluated as such. Focusing on implications for cycling appraisal in general, we also discuss two conflicting trends in Stockholm: a sharp decrease in cycling in the outer areas, and a sharp increase in the inner parts.

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Invasive ants alter foraging and parental behaviors of a native bird

Introduced species can exert outsized impacts on native biota through both direct (predation) and indirect (competition) effects. Ants frequently become established in new areas after being transported by humans across traditional biological or geographical barriers, and a prime example of such establishment is the red imported fire ant (Solenopsis invicta). Introduced to North America in the 1930's, red imported fire ants are now firmly established throughout the southeastern United States. Although these invasive predators can dramatically impact native arthropods, their effect on vertebrates through resource competition is essentially unknown.

 

Using a paired experimental design, we compared patterns of foraging and rates of provisioning for breeding eastern bluebirds (Sialia sialis) in unmanipulated (control) territories to those in adjacent (treated) territories where fire ants were experimentally reduced. Bluebirds inhabiting treated territories foraged nearer their nests and provisioned offspring more frequently than bluebirds inhabiting control territories with unmanipulated fire ant levels. Additionally, nestlings from treated territories were in better condition than those from control territories, though these differences were largely confined to early development. The elimination of significant differences in body condition towards the end of the nestling period suggests that bluebird parents in control territories were able to make up the food deficit caused by fire ants, potentially by working harder to adequately provision their offspring. The relationship between fire ant abundance and bluebird behavior hints at the complexity of ecological communities and suggests negative effects of invasive species are not limited to taxa with which they have direct contact.

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These 19th-century diagrams were one man's attempt to illustrate human consciousness

These 19th-century diagrams were one man's attempt to illustrate human consciousness | Social Foraging | Scoop.it

Could you represent the stages of human consciousness with a diagram? In the late 19th century, New Zealand psychologist Benjamin Betts tried to apply mathematics to the problem of visualizing human consciousness. What he produced were striking, almost floral designs that he believed represented the shape of out consciousness for a given activity.

 

Maria Popova of Brain Pickings came across these images in the 1887 book Geometrical psychology, or, The science of representation, an abstract of the theories and diagrams of B. W. Betts, edited by Louisa Cook and available on Open Library. In his metaphysical explorations, Betts attempted to represent the successive stages of the evolution of human consciousness with symbolic mathematical forms; he was quite pleased to find that his mathematical representations frequently resulted in plant-like forms, taking this to mean that he was on the track to some universal representation of consciousness.

 

Incidentally, he also believed that human consciousness was the only thing that we as humans could study directly since everything else must necessarily be perceived through human consciousness.

 

While Betts methods and illustrations seem ultimately abstract, there is something appealing about his diagrams. We can almost imagine how a student of metaphysics might make perfect sense out of one state of consciousness working like a petalled bowl and another like a deep and narrowing funnel.

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When Math Hurts: Math Anxiety Predicts Pain Network Activation in Anticipation of Doing Math

When Math Hurts: Math Anxiety Predicts Pain Network Activation in Anticipation of Doing Math | Social Foraging | Scoop.it

Math can be difficult, and for those with high levels of mathematics-anxiety (HMAs), math is associated with tension, apprehension, and fear. But what underlies the feelings of dread effected by math anxiety? Are HMAs’ feelings about math merely psychological epiphenomena, or is their anxiety grounded in simulation of a concrete, visceral sensation – such as pain – about which they have every right to feel anxious? We show that, when anticipating an upcoming math-task, the higher one’s math anxiety, the more one increases activity in regions associated with visceral threat detection, and often the experience of pain itself (bilateral dorso-posterior insula). Interestingly, this relation was not seen during math performance, suggesting that it is not that math itself hurts; rather, the anticipation of math is painful. Our data suggest that pain network activation underlies the intuition that simply anticipating a dreaded event can feel painful. These results may also provide a potential neural mechanism to explain why HMAs tend to avoid math and math-related situations, which in turn can bias HMAs away from taking math classes or even entire math-related career paths.

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Kantar - Do Tweets influence consumer behaviour?

Kantar - Do Tweets influence consumer behaviour? | Social Foraging | Scoop.it

Kantar Media Compete and Twitter have worked together to understand the impact of Tweets posted by retail companies. Specifically, we wanted to know whether Tweets influence consumer behaviour; are people exposed to a retailer Tweet more likely to visit that retailer's website and eventually purchase from that retailer?

 

To answer these questions, Compete observed 2,600 US-based Internet consumers who saw Tweets from almost 700 different retailers such as Amazon, Nike and Walmart from August to mid-October. We limited the scope of the study to desktop browsing only (no mobile or table activity) and exposure on Twitter.com only (no Twitter clients were included in the analysis). We also studied the behaviour of two control groups comprised of a similar set of consumers who visited Twitter but did not see retailer Tweet and who were simply average internet users.

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Chantelle Pulevaka's curator insight, September 30, 2014 9:03 PM

Twitter can increase the amount of people who visit a retail store after being exposed to it on twitter. 

Samara Paxton's curator insight, October 2, 2014 7:23 PM

Twitter is helping brands increase the web traffic to their retailsites. Its amazing how just seeing a tweet from a retailer can encourage a person to visit, and then buy from their website. It proves that having a presence on social media isimportant for a brand,especially with the kind of statistics that are being shown in this article. Twitter users that visit a retail website are more likely to visit or buy from that site than just a regular internet user- and it makes sense. A brand needs to always be reminding of its presence, and keeping up with what is going on in the modern world to reach its younger customers, who are so easily accesssible. 

Chantelle Pulevaka's curator insight, October 2, 2014 9:54 PM

Maybe there should be more apps like twitter to engage consumers. 

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Reviewing Neuroscience And Ads With Neuromatters’ Barbara Hanna

Reviewing Neuroscience And Ads With Neuromatters’ Barbara Hanna | Social Foraging | Scoop.it

Those signs in the mall aren’t ready to talk to you – yet .

 

Today, when it comes to advertising, real-time insights into responses evoked at the neuro - or brain – level have only made their way into movies such as “Minority Report” (see clip) as Hollywood plays with the eerie potential of addressability. Nevertheless, last year’s acquisition of Neurofocus by Nielsen and the work of companies like Affectiva are early “mile markers” in the combination of marketing and neuroscience – a.k.a. neuromarketing.

 

For Neuromatters co-founder Barbara Hanna, who is a doctor of neuroscience, and her co-founders, they see applications across industries. Whether her company decides to go the “marketing” route remains to be seen as it is somewhat driven by the customers who arrive at their doorstep as they cobble together a range of projects unlocking the human brain’s potential and its limitations.

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Thought-controlled beer tap? Conferences showcase what's next in tech

Thought-controlled beer tap? Conferences showcase what's next in tech | Social Foraging | Scoop.it

Defrag and Blur, sister conferences held over three days at the Omni Interlocken Resort in Broomfield this month, offered a glimpse at trends that may drive technology developments and cutting-edge products on the verge of release.

 

About a dozen mostly early-stage tech companies, including a couple of local firms, exhibited at Blur.

 

Among them was Toronto-based InteraXon, developers of a brainwave-sensing headband called Muse. The product, scheduled for release in the second quarter of 2013, will pair with a smartphone app to help users "build healthy brain habits."

 

"The first kind of applications are things that let you track your own brain activity and then give you exercises to improve the way that you interact,"

 

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