Networks of interconnected nodes have long played a key role in cognitive science, from artificial neural networks to spreading activation models of semantic memory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions or collaborations among scientists. Today, the inclusion of network theory into cognitive sciences, and the expansion of complex systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the cognitive sciences.
Networks in Cognitive Science
Andrea Baronchelli, Ramon Ferrer-i-Cancho, Romualdo Pastor-Satorras, Nick Chater, Morten H. Christiansen
Scientists find further evidence that crabs and other crustaceans feel pain and then take steps to avoid it.
While perhaps unlikely to change food industry and eating habits in the short term, I suspect as we develop more understanding of sensory systems and related perception mechanisms our understanding of sentience and animal perception is going to go through a radical overhall in the coming decade.
What’s the difference between machine learning, deep learning, big data, statistics, decision & risk analysis, probability, fuzzy logic, and all the rest? None, except for terminology. William Briggs gives a masterclass in explaining terminology currently bounding through the worlds of big data, analytics and data. Worth reading.
Intersting article by John Markoff on artificial neural networks and learning theorems and big data problems. 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 new molecules... Click on the title to learn more.
Long but interesting interview with linguist Noam Chomsky fom the Atlantic, on A.I. Wether you agree or disagree with his views on computation and intelligence and the directions taken by AI community and neuroscience - it makes for a stimulating read. Click on the image or the title to learn more.
Health care in the United States certainly needs an overhaul. The question is whether that overhaul will come from artificially intelligent doctors. IBM has launched partnerships with insurance giant WellPoint and the Sloan-Kettering Cancer Center in New York and is expected offer Watson commercially to hospitals within the next few years. Wired article discusses the approach and pros and cons as seen by some doctors. Worth a read for a quick intro to modern AI comprising data mining and big data topics as an approach to treatment diagnostics in healthcare. Click on the image or the title to learn more.
Good inverview with Dr. Jürgen Schmidhuber, Director of the Swiss Artificial Intelligence Lab, IDSIA. His research team’s artificial neural networks (NNs) have won many international awards, and recently were the first to achieve human-competitive performance on various benchmark data sets. IDSIA are probably the current world leaders in ANN research and the quality of what they do is rather insipiring. worth reading.
Interesting article in The New York Times on Jeff Hawkins (of Palm computer fame) new company Numenta. Their Grok product uses a complex artificial neuron model to build predictive analytics from sensed data. Worth reading. Click on the image or the title to learn more.
Something scientists have come to understand is that slime molds are much smarter than they look. One species in particular, the SpongeBob SquarePants–yellow Physarum polycephalum, can solve mazes, mimic the layout of man-made transportation networks and choose the healthiest food from a diverse menu—and all this without a brain or nervous system. "Slime molds are redefining what you need to have to qualify as intelligent," Reid says.
Wired has an interesting article on mobile computing. As ARM seeks to put cell phone chips into our supercomputers, Intel is doing the reverse. The lines between the mobile hardware and data center hardware are blurring. Intel’s experimental Single-chip Cloud Computer project, or SCC is a 48 core chip acts as a “network” of processors on a single chip, with two cores per node. The nodes actually communicate to each other much the same way nodes in a cluster in a data center would. While these types of architectures are today used in big data applications that run on a server cloud environment there are actually many cases where a hybrid model would make the most sense including artificial intelligence, machine vision and augmented reality applications. Click on the image or the title to learn more.
A.I is back in fashion and quickly becoming the new black. nice article from Impact Lab: Nikolas Janin, who lives in Silicon Valley, get's up every morning for his 40-minute commute to work just like everyone else. He is the shop manager and fleet technician at Google. In the mornings Janin gets dressed and heads out to his Lexus RX 450h for the trip on California’s freeways. That’s when his the car takes over. Mr. Janin’s ride is one of Google’s self-driving vehicles and it is equipped with sophisticated artificial intelligence technology that allows him to sit as a passenger in the driver’s seat.... Click on image or title to lean more.