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CV - Olivier Georgeon
CV - Olivier Georgeon

... strong AI (e.g., Froese & Ziemke 2009). In essence, the agent (e.g., robot) self-develops by “sedimentation of habitudes”, as some philosophers of mind have intuited since the enlightenments (e.g., David Hume). ...
Playing Games Across the Superintelligence Divide
Playing Games Across the Superintelligence Divide

... with “highly-functioning and deeply-integrated artificial intelligence” and find our arguments still valid. In this paper, we do not take a stance on how to build superintelligence, when it could be done, or even whether it is in principle even possible. Current theories on superintelligence rely on ...
Part 1 - College of Engineering | Oregon State University
Part 1 - College of Engineering | Oregon State University

... w Problems: n n n ...
Slide 1
Slide 1

... forward, not only for the teaching of AI, but for the unified view of the field that this book introduces. Even for experts in the field, there are important insights in almost every chapter.” (Amazon.com ...
Artificial Intelligence Through the Eyes of the Public
Artificial Intelligence Through the Eyes of the Public

... 7.4.6 Technical Background vs When was the last time you heard about Artificial Intelligence in the media? ..................................................................................................... 75   7.4.7 Technical Background vs Is it possible for human thinking to be replicated in ...
What is AI?
What is AI?

... Mathematica (a famous book by Alfred North Whitehead and Bertrand Russell on logic and mathematics). See http://www.dartmouth.edu/~ai50/homepage.html for a conference celebrating the 50th anniversary of the Dartmouth ...
Gate Assignment Display System
Gate Assignment Display System

... “intelligent computer program using knowledge / inference procedures to solve problems difficult enough to require significant human expertise; a model of the expertise of the best practitioners” ...
AAAI-16 Exhibitor Information
AAAI-16 Exhibitor Information

... AAAI-16 Exhibitor Information On behalf of AAAI, we invite you to exhibit at the Thirtieth AAAI Conference on Artificial Intelligence to be held February 12 – 17, 2016 in Phoenix, Arizona, USA. Each year the AAAI conference brings together about 1,200 AI researchers and practitioners from around the ...
Motivated_Learning_BARCELONA
Motivated_Learning_BARCELONA

... problems with Complex environments lack of motivation  Motivated Learning  Definition  Need for benchmarks ...
Word - Egodeath.com
Word - Egodeath.com

... TNT Tries to Swallow Itself ............................................................. 270 G: A String Which Talks about Itself in Code .................................. 271 G’s Existence Is What Causes TNT’s Incompleteness ..................... 271 Mumon Has the Last Word....................... ...
Processing and Interaction in Robotics
Processing and Interaction in Robotics

... directions. Sometimes, perception is oriented toward nature, both external and internal to man, sometimes perception is oriented toward artifacts which are the results of previous invention of man. Anyway, any sensor device is itself an artifact that man has conceived and designed in order to substi ...
"Abstractions and Hierarchies for Learning and Planning
"Abstractions and Hierarchies for Learning and Planning

... 12. Bram Bakker, Jurgen Schmidhuber: Hierarchical Reinforcement Learning Based on Subgoal Discovery. NCI 2004. 13. Amy McGovern: Autonomous Discovery of Abstractions through Interaction with an Environment. SARA 2002: 338-339. 14. Ozgür Simsek, Alicia P. Wolfe, and Andrew G. Barto: Identifying usefu ...
View/Open
View/Open

... or if DSR is applicable. Although DSR can go beyond creating a prototype or improvement by providing new knowledge, to force its use may not help the outcome. In this specific agent research the use of DSR is valuable in order to take the IT artifact into operations. The intelligent agent processing ...
Computational Models of Narrative: Review of the Workshop
Computational Models of Narrative: Review of the Workshop

... any of them: Why narrative? What are the appropriate representations of narrative? What are appropriate experimental paradigms for narrative? Why narrative? Participants were unable to give a concise and cogent reason why narrative per se, rather than a variety of other cognitive or social processes ...
Intelligence decision systems in enterprise information management
Intelligence decision systems in enterprise information management

... applications of computational techniques based on the principles of natural evolution. Evolutionary algorithms employ this powerful design philosophy to find solutions to hard problems from different domains, including optimization, automatic programming, circuit design, machine learning, economics, ...
Computational Intelligence
Computational Intelligence

... sample data in an associative form where horizontal and vertical data relations are represented and can be easy used for concluding about them, e.g. their similarities, differences, correlations, classes and other attributes. We will automatically draw conclusions about these data, find classes and ...
Introduction: Aspects of Artificial General Intelligence
Introduction: Aspects of Artificial General Intelligence

... as the human brain/mind has a significant level of generality to its intelligence, even though some humans are better at mathematics and some are better at basketball. Similarly, a general design does not conflict with the usage of domain-specific knowledge in problem solving. Even when an AGI syste ...
Chapter 7 User Interface and Decision Visualization Applications
Chapter 7 User Interface and Decision Visualization Applications

... – Increased Capabilities of Other Computerized Systems – Integration of Several Experts' Opinions – Ability to Work with Incomplete or Uncertain ...
Close - Association for the Advancement of Artificial Intelligence
Close - Association for the Advancement of Artificial Intelligence

... and in particular how some of the pleasurable aspects of play may derive from evolutionarily acquired rewards that encourage learning. According to Koster, a game is fun only as long as the player learns from playing it; a trivial or impossible game is not worth playing (Koster 2005). Would these mo ...
Computer Science as Empirical Inquiry
Computer Science as Empirical Inquiry

... s u r r o u n d i n g computers. The founders of this society u n d e r s t o o d this very well when they called themselves the Association for C o m p u t i n g M a c h i n e r y . The m a c h i n e - - n o t j u s t the hardware, b u t the p r o g r a m m e d , living m a c h i n e - - i s the o ...
Making Music with AI: Some examples
Making Music with AI: Some examples

... generative grammars has been, and continues to be, an important and very useful approach in music modeling (Lerdahl and Jackendoff [17]) Marvin Minsky in his well known paper Music, Mind, and Meaning [18] addresses the important question of how music impresses our minds. He applies his concepts of ...
canonical3
canonical3

... Artificial Intelligence”, (Summit, 2005), which includes many of the leading lights of AI, states that “Despite its advances in the last 50 years [since a defining meeting on AI held at Dartmouth College in 1956], it is clear that the original goals set by the first generation of AI visionaries have ...
Dimensions of Interaction
Dimensions of Interaction

... particular pair of agents might not always be easy, or even possible. In such cases, communication can be facilitated by interposing a mediating agent. The second dimension of interaction is coordination. With multiple agents with multiple active goals, progress requires agents to share resources an ...
Untitled - Future Left
Untitled - Future Left

... energy. Renewable power sources, especially solar, have improved dramatically and become much cheaper over the last decade, and could potentially have a big effect on America's energy systems during the administration of the next president. That will especially be true if, as seems likely, battery a ...
Alan Turing and the development of Artificial Intelligence
Alan Turing and the development of Artificial Intelligence

... would be a very practicable possibility even by present techniques. It is probably not necessary to increase the speed of operations of the machines at all. Parts of modern machines which can be regarded as analogs of nerve cells work about a thousand times faster than the latter. This should provid ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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