stuhlmueller + prediction   13

What Will the LHC Find?
A list of possible discoveries by the Large Hadron Collider and the probability of each discovery being made within the next five years.
physics  prediction  lhc 
august 2008 by stuhlmueller
Optimal Predictions in Everyday Cognition (pdf)
"Our results suggest that everyday cognitive judgments follow the same optimal statistical principles as perception and memory, and reveal a close correspondence between people’s implicit probabilistic models and the statistics of the world."
cognition  bayes  prediction  research  mit 
april 2008 by stuhlmueller
Predictability, complexity and learning
Introduces 'predictive information', a measure of the mutual information between the past and the future of a time series. Unique if all observers with prior distributions limited to local interactions need to arrive at the same measure.
learning  complexity  prediction  information 
january 2008 by stuhlmueller
MindRACES - from Reactive to Anticipatory Cognitive Embodied Systems
The goal of the Mind RACES project is to investigate different anticipatory cognitive mechanisms and architectures in order to build Cognitive Systems endowed with the ability to predict the outcome of their actions.
ai  research  prediction 
june 2007 by stuhlmueller
Shaping the Future (Charles Stross)
Meet your descendants. They don't know what it's like to be involuntarily lost, don't understand what we mean by the word "privacy", and will have access to a historical representation of our species that defies understanding.
future  technology  prediction  singularity 
may 2007 by stuhlmueller
Info Has No Trend (Overcoming Bias)
The ability to substantially predict the future of morality would be a strong argument against morality changes being due to info we learn, just as the ability to predict future stock prices would argue against stock price changes being due to info.
rationality  prediction  morality  information 
march 2007 by stuhlmueller
Optimal sequential decisions based on algorithmic probability (Hutter's thesis)
The major theme of the thesis is to develop a mathematical foundation of Artificial Intelligence and, more specifically, to develop a theory for rational agents acting optimally in any environment.
ai  probabilitytheory  information  theory  prediction  *interesting 
march 2007 by stuhlmueller
Solomonoff Induction by Shane Legg (PDF)
Solomonoff ’s induction method is a theoretical model of what could be considered a perfect inductive inference system. Incomputable.
solomonoff  induction  prediction  ai  math 
march 2007 by stuhlmueller
Asymptotic Calibration (.ps)
Can we forecast the probability of an arbitrary sequence of events happening so that the stated probability of an event happening is close to its empirical probability?
prediction  probabilitytheory  ai 
march 2007 by stuhlmueller
NISTEP 2030 forecast (Danila)
The Japanese National Institute of Science and Technology Policy (NISTEP) runs a technology foresight project every five years, looking 30 years into the future.
futurism  prediction  japan 
january 2007 by stuhlmueller
Is there an Elegant Universal Theory of Prediction? by Shane Legg (PDF)
Appears to prove that beyond a moderate level of complexity the development of powerful artificial intelligence algorithms can only be an experimental science.
ai  prediction  math  singularity  dallemolle 
september 2006 by stuhlmueller
Nick Hay's Academic Homepage
Papers on sequence prediction and optimal artificial intelligence.
ai  prediction  research  nickhay 
september 2006 by stuhlmueller
Ray Solomonoff: Inductive Inference Theory (pdf)
A Unified Approach to Problems in Pattern Recognition and Artificial Intelligence.
ai  algorithms  prediction  solomonoff 
september 2006 by stuhlmueller

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