Controlling confusion -- Researchers make insight into memory, f. Public release date: 4-Dec-2006 [ Print | E-mail Share ] [ Close Window ] Contact: Brad Postlepostle@wisc.edu 608-262-4330University of Wisconsin-Madison MADISON -- Why do we forget? Do memories decay on their own, or are they harmed by interference from similar memories? Although the notion of decay makes sense, Brad Postle, assistant professor of psychology at UW-Madison, says it may be inaccurate. "Psychologists have known for decades that the intuitive notion of decay is probably less of a factor in forgetting than is interference," he says. Interference is always present, Postle says, but we don't always notice it. "An obvious case is like yesterday, when a friend was telling me his cell phone number but actually gave me his home phone number," he says.
"Interference is also often to blame," says Postle, "in cases when we simply can't remember something. " Neuroscientists have traditionally identified the roles of particular parts of the brain by studying people with brain injury. Vitorino ramos @LaSEEB - Evolutionary Systems and Biomedical Eng. How Web 2.0 is changing the way we work Andrew McAfee - McKinsey. Evolutionary computation for discovery. Swarm Chemistry Homepage. Hiroki Sayama, D.Sc. sayama AT binghamton DOT edu Last updated: 8/23/2013 [News] [About] [Simulator] [Recipes] [Publications] Swarm Chemistry Simulator Applet: Version 1.3.0 (3-D)Now you can embed live swarms in your own web pageWatch Evolutionary Swarm Chemistry Videos on YouTube § What's New?
Past Updates § About Swarm Chemistry "Swarm Chemistry" is interactive simulation software developed and used for the author's research project on the collective dynamics of heterogeneous self-propelled particle swarms. For more detail of the project and the computational swarm model we use, see Publications. § Swarm Chemistry Simulator Currnet Release: Version 1.3.0 (3-D, new version) / Version 1.2.0 (2-D, original version) With the Swarm Chemistry simulator, you can explore the dynamics of Swarm Chemistry through an interactive evolutionary method.
This simulator was written in Java as a hybrid program that can run as either a stand-alone application or an applet launched from a web browser. Sample. A Method for Assigning Men and Women with Good Affinity to Matchma. NASA ADS: Towards a human eye behavior model by applying Data Mi. SAO/NASA ADS arXiv e-prints Abstract Service · arXiv e-print (arXiv:0803.3186) · References in the Article· Also-Read Articles (Reads History) · · Translate This Page Abstract In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization. Next, in order to correctly parameterize our application, we present results from applying data mining techniques on gaze information coming from experiments conducted on about 80 human individuals. Cloud Superintelligence. EO Evolutionary Computation Framework.
11.24.2008 - Flexibility trumps fitness in sexual reproduction, By Sarah Yang, Media Relations | 24 November 2008 BERKELEY — The utility of sex, according to an intriguing new theory of evolutionary biology, may be its ability to promote genes that play well with many other partners rather than those that shine with just one specific set of genes. This idea of genetic mixability, described in the journal Proceedings of the National Academy of Sciences the week of Nov. 24, hits on the difficulty evolutionary biologists have had in understanding sex, specifically its role in population genetics and Darwin's survival-of-the-fittest mantra.
"It's the generalist winning over the specialist," said Christos Papadimitriou, professor of computer sciences at the University of California, Berkeley, and co-author of the paper. That sex can actually impede the increase in the fitness of the population raises the question of how it can remain the dominant form of reproduction across all manner of species. A Field Guide to Genetic Programming. Coding style - a non-issue - fa.linux.kernel. Enterprise Resilience Management Blog: Invention through Evoluti. Innovators and innovative companies must be fearless. They cannot be afraid to fail because failure comes with the territory. That is a lesson one of America's greatest innovators and inventors, Thomas Edison, was fond of teaching. The Economist began an article on innovation with Edison's words: "I have not failed.
I have just found 10,000 ways that won't work. " ["Don't invent, evolve," 8 December 2007 issue] Edison was speaking about his most famous effort, his attempt to perfect the incandescent light bulb. The focus of the article was how the "traditional trial-and-error approach," like the one used by Edison, "can be automated by software that mimics natural selection. " "Although 10,000 trial-and-error attempts might sound a little over the top, an emerging technique for developing inventions knocks even Edison’s exhaustive approach into a cocked hat. Computer processor speed makes a huge difference in these efforts.
"The idea of evolutionary algorithms is not new. Dutch solar car speeds ahead. The Dutch Nuon Solar Team has won the Panasonic World Solar Challenge for the fourth year running. Its car, the Nuna4, completed the 3000 km race in Australia in 33 hours, beating its next rival by 1 hour 36 minutes. The vehicle’s top speed was 137 km/h and its average speed over the whole race was more than 90 km/h. Along with other solar cars, Nuna4 had to compete under extreme weather conditions as well as navigate between other traffic on the road, including kangaroos and Australia’s notorious road trains.
"This race shows the public that not only can a car run on solar power, but also that it is fast,” Tine Lavrysen, team spokesperson, told environmentalresearchweb. “Most people believe that a solar car can get an average speed of about 50 km/h, but when I tell them ours did 3000 km on solar power with an average speed of more than 90 km/h, they are always surprised. " The car uses space-grade, gallium-arsenide triple junction solar cells that have an efficiency of more than 26%. Innovation | Don’t invent, evolve | Economist.com.
Multicellular Logic Circuits, Part II: Cells « Nerd Wisdom. In my post “Multicellular Logic Circuits, Part I: Evolution,” I discussed evolution and genetic algorithms; I want to continue that discussion here. There are two salient facts of biology that are completely inescapable. The first is that all organisms are shaped by the process of evolution. The second is that all organisms are constructed from cells. Furthermore, all complex multicellular organisms begin life as a single cell, and undergo a process of development through cell division to mature into an adult. And no matter how different any two organisms may be on the gross macroscopic level that we are used to, inside their cells the chemical processes of life are fundamentally very similar. Thus it is no accident that the titles of the two leading textbooks in molecular biology are The Molecular Biology of the Gene by Watson, et. al. and The Molecular Biology of the Cell by Alberts et. al.
[These are both great books. Like this: Like Loading... Multicellular Logic Circuits, Part I: Evolution « Nerd Wisdom. If we want to construct artificial machines that rival the capabilities of biological organisms, we should try to understand the principles by which complex natural “machines” such as plants and animals are created. It is generally agreed, at least by scientists, that all natural organisms have been “designed” by the completely blind and random process of evolution. Through evolution, a population of organisms tends to become progressively better adapted to its environment via the mutation of genomes of individuals in the population, and the selection and more rapid reproduction of the fittest organisms in that population.
Harvard professor Martin Nowak a has written a lovely and elegant book describing the mathematics of evolutionary dynamics, using the ideas of evolutionary game theory; here is a video of Nowak describing evolutionary game theory at Harvard in 2004. My own interest is not so much in analyzing evolution, but in exploiting it. So what might be missing? Like this: Google Targeting Ads Based on Previous Queries. Google Targeting Ads Based on Previous Queries Reuters reports from a briefing for journalists at the Googleplex, where Google’s Susan Wojcicki (pictured) talked about how Google is a bit wary to use behavioral targeting... that is, to deliver ads based on a deep user profile aggregated over time (and potentially, through different services).
Instead, Google prefers targeting ads to the “task” at hand – the current search query. But Google is now also playing with targeting ads based on immediately previously entered queries (the “search session”): Google has been testing for several weeks a new advertising feature that delivers ads based not simply on a specific search term, but also on the immediately previous search, [Susan Wojcicki] said. A user who types “Italy vacation” into a Google search box might see ads about Tuscany or cheap flights to Europe. Google is “very careful” about traditional behavioral targeting, though. [Via Barry Schwartz.] >> More posts Advertisement. What is Tron? Reconciling Group Selection and Methodological Individualism by. George Mason University School of Law; PERC - Property and Environment Research CenterApril 2004 George Mason Law & Economics Research Paper No. 04-12 Abstract: Methodological individualism underpins economic analysis.
In his paper in this volume, however, Douglas Glen Whitman demonstrates that group selection can be reconciled with methodological individualism. This essay extends Whitman's analysis in two ways. First, it summarizes and restates the necessary conditions for group selection to play a role in the evolution of human preferences and societies. Second, it discusses the role of group selection in Hayek's thought, with a particular focus on the role of group selection in the evolution of legal rules and the rule of law. Number of Pages in PDF File: 19 Keywords: F.A. JEL Classification: B25, B53, K0 working papers series Suggested Citation Zywicki, Todd J., Reconciling Group Selection and Methodological Individualism (April 2004).
. . : : Computational Modeling Lab -- Anne Defaweux : : . . MEDAL Blogging. Hideyuki Takagi. Research webpage of Chen. Simplex-Wide Recombinant Text. Présentation des algorithmes génétiques et de leurs applications. Méta-apprentissage des algorithmes génétiques. Evolving Trends.