La capacité d'une population à innover dépend aussi de sa taille Dans une étude publiée par la revue Nature, une équipe de l'Institut des sciences de l'évolution de Montpellier, CNRS/IRD/Université de Montpellier 2, a prouvé par l'expérience l'hypothèse selon laquelle la taille d'une population influait directement sur sa capacité à transmettre des traits culturels. Plus une population est grande, plus elle est capable de transmettre des savoirs et des techniques mais aussi d'innover ; plus elle est petite, plus elle risque de perdre son savoir-faire et de régresser. Le développement d'outils ou de techniques d'une remarquable complexité a permis à notre espèce (Dans les sciences du vivant, l’espèce (du latin species, « type » ou « apparence ») est le taxon de base de la systématique....) de coloniser une gamme d'environnements plus large qu'aucune autre espèce de vertébrés (Les vertébrés forment un sous-embranchement du règne animal. Ce taxon, qui dans sa version moderne exclut les myxines, est considéré comme monophylétique. Référence:
amazon Conversation with John Searle, page 2 of 6 John Searle Interview: Conversations with History; Institute of International Studies, UC Berkeley Page 2 of 6 Is it hard to do philosophy? It's murder, absolutely. I compare it ... if you really want to know how to do it, you get up in the morning, there's a large brick wall and you run your head against that brick wall. And you keep doing that every day until eventually you make a hole in the wall. But metaphorically the wall has ceased to exist, right? Unfortunately I keep banging the wall. So take an obvious case. And this has been a major research interest of yours in philosophy. Well, this one right now is, yes. As a philosophical issue, what is really exciting about this is that it touches on this whole division between the mind and the body, which is something that philosophy has never really resolved. That's why I'm trying to resolve it. We've inherited this vocabulary that makes it look as if mental and physical name different realms. And how? Or stubbing your toe. That's right.
Ian Pearson, Futurologist: The ITWales Interview Date: 2006-09-25 Category: Interviews Ian Pearson works as a Futurologist for BT, where he tracks technological and societal developments to make predictions for the future. Specialising in the long term, Pearson uses his background in science and engineering, together with analytical tools, business skills and good old fashioned common sense to develop his predictions. Sali Earls indulged in a bit of crystal ball gazing and spoke at length to Ian Pearson , discussing the sometimes dark, often controversial visions for the future brought about by technological advances. She vows never to eat yoghurt again... It’s kind of like being in a car and having someone looking out of the window as you’re driving along - it’s the business equivalent of that really. It’s a question of second guessing what people will do, which requires sitting around and talking about it an awful lot really. In terms of keeping up, I wouldn’t say that I do. Yes. The other side of AI says that .
Pierre Apkarian N. V. Q. Hung, H. N. A. V. A. A. P. P. Artificial General Intelligence (AGI) • TheNanoAge.com "Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended."- Vernor Vinge, NASA Vision-21 Symposium, 1993 Defined as, "the intelligence of a machine that can successfully perform any intellectual task that a human being can," Artificial General Intelligence (AGI), or "Strong AI" has been the goal and dream of AI researchers since the mid 1950s. Most researchers today choose to focus on more manageable sub problems, also known as Weak AI, Narrow AI, or Applied AI, which they hope may eventually be combined to achieve Strong AI, using an integrated approach. Exponential growth in computing power (known as Moore's Law) is the driving force behind AGI. Due, once again, to the exponential nature of technological acceleration, once achieved, AGI will rapidly evolve into a form that exceeds the intelligence of the smartest human being. According to Justin Rattner; Intel's CTO,
Sean Kelly: Reconciling Searle and Dreyfus An Interview with Douglas R. Hofstadter, following ''I am a Strange Loop'' Douglas R. Hofstadter is best-known for his book Gödel, Escher, Bach (GEB for short). In his latest book, I am a Strange Loop, he visits once again many of the themes originally presented in that book. The interview below was conducted in September 2007 and was originally published, in Hebrew, in the online culture magazine Haayal Hakore. The interview was conducted by Tal Cohen and Yarden Nir-Buchbinder. The first part of I am a Strange Loop reads like a condensed version of GEB, by explaining the idea of consciousness as a strange loop. I certainly did not believe intelligent machines were just around the corner when I wrote GEB. Am I disappointed by the amount of progress in cognitive science and AI in the past 30 years or so? I am a deep admirer of humanity at its finest and deepest and most powerful — of great people such as Helen Keller, Albert Einstein, Ella Fitzgerald, Albert Schweitzer, Frederic Chopin, Raoul Wallenberg, Fats Waller, and on and on. We'll return to Kurzweil soon.
Microscopic particles self-organize into a rolling mob One of the nearly infinite number of astounding sights in the animal kingdom plays out when creatures get together in large groups. Whether it’s a flock of birds or a school of fish, the group can take on an identity of its own, moving in seemingly perfect coordination. People have long puzzled over how this wonderful choreography works. The flocking pattern is not directed by some controlling leader; it emerges from the behavior of individuals. Antoine Bricard, Jean-Baptiste Caussin, and three of their colleagues have come up with a unique setup to build on previous studies. That is, until you increase the number of spheres beyond a threshold of crowding. The researchers started by creating little “racetracks” for the spheres to roll around on. Given a square enclosure in which to roam instead of circular racetracks, the spheres settled into a very different pattern. There are two interactions that the researchers think are enabling the particles to put on these displays.
Adaptive Artificial Intelligence Inc.-Research Real A.I. Intro Introduction This is a book chapter written by Peter Voss and published in "Artificial General Intelligence" - Goertzel, Ben; Pennachin, Cassio (Eds). Written in 2002, this describes the foundation of our project: the low level, conceptual underpinnings that remain an important functioning part of our current more advanced research. Peter Voss is an entrepreneur with a background in electronics, computer systems, software, and management. Book Chapter also available as Word 2000 (.doc) Essentials of General Intelligence: The direct path to AGI 1. This paper explores the concept of 'artificial general intelligence' (AGI) - its nature, importance, and how best to achieve it. The idea of 'general intelligence' is quite controversial; I do not substantially engage this debate here but rather take the existence of such non domain-specific abilities as a given (Gottfredson 1998). 2. · Adaptive - Learning is cumulative, integrative, contextual and adjusts to changing goals and environments. 1.
Fini les embouteillages grâce à un algorithme du MIT Alors que le long week-end de la Toussaint approche, Bison futé a classé orange la journée de samedi pour le sens des départs et prévoit une circulation fluide pour dimanche. Cette fois-ci, les automobilistes ont de la chance, ils n’auront pas à attendre des heures dans leur voiture qu’un embouteillage, sans cause apparente, se désagrège de lui-même. Mais bientôt, ces bouchons fantômes ne seront sans doute qu’un mauvais souvenir, grâce à un algorithme développé par Berthold Horn, chercheur au MIT. Le problème dans ces embouteillages, qui ne sont la conséquence ni de travaux ni d’accidents, selon le scientifique, ce sont les changements de rythme des véhicules. publicité Il explique dans un article du MIT: «Imaginez que vous introduisiez une perturbation en freinant brusquement, juste un instant, elle se propagera en amont et son amplitude augmentera à mesure qu’elle s’éloigne de vous.» L’idée de Horn est donc de réguler le flot de voitures en évitant les ralentissements intempestifs.
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