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stuhlmueller + research   49

Advice to Younger Mathematicians (pdf)
The final chapter of the Princeton Companion to Mathematics.
math  research  advice 
september 2008 by stuhlmueller
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields
Reviews and integrates a variety of computational approaches that have been used to characterize the dynamics of the cortex, as evidenced at different levels of measurement.
brain  cortex  neuroscience  research 
september 2008 by stuhlmueller
submeta
"We have a particular interest in facilitating interdisciplinary projects which may have difficulty finding a home within the classic university funding structure."
funding  research  neuroscience 
july 2008 by stuhlmueller
Reasoning with Cause and Effect (pdf)
Transcript of a lecture by Judea Pearl that introduces his approach to a formalization of causality.
causality  research  pearl 
june 2008 by stuhlmueller
A Backward Look to the Future
E. T. Jaynes' thoughts on physics, probability, and on what he learned during his 50 years as a researcher.
physics  probabilitytheory  jaynes  research 
may 2008 by stuhlmueller
Inexact Graph Matching
Given a large (e.g. social or conceptual) network, applying graph matching to identify common structures (=subgraphs) might give us new vocabulary to talk about such networks.
graph  research  compsci  math 
may 2008 by stuhlmueller
Can a Biologist Fix a Radio? (pdf)
Shows the emerging necessity to create a formalized language designed to describe complicated systems of regulation of biochemical processes in living cells.
biology  research  complexity  formalization 
april 2008 by stuhlmueller
Medical literature as a potential source of new knowledge.
Automated scientific discovery: By putting large databases of papers in machine-readable format, it is possible to do automated inferences from them.
machinelearning  research  medicine 
april 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
Personal Genome Project
Volunteers from the general public can contribute their DNA to research in order to to advance personal genomics.
dna  genetics  research  volunteering 
january 2008 by stuhlmueller
Technology Roadmap for Productive Nanosystems
Multidisciplinary effort to explore how current laboratory techniques for atomically precise fabrication can be extended, step by step, toward increasingly advanced products and capabilities.
nanotechnology  future  research  plan 
december 2007 by stuhlmueller
Original Seeing (from Zen and the Art of Motorcycle Maintenance)
Easily forgotten in a world where success in school is most easily achieved by NOT seeing for yourself. One of the fundamental attributes of a good scientist.
creativity  writing  thinking  research  yudkowsky 
october 2007 by stuhlmueller
Summer Undergraduate Research Fellowships at Caltech
Caltech's Summer Undergraduate Research Fellowships program introduces both Caltech and Non-Caltech students to research under the guidance of seasoned research mentors at Caltech and JPL.
caltech  research  summer 
september 2007 by stuhlmueller
Estimated impact of publication venues in Computer Science
Impact is estimated using the average citation rate, where citations are normalized using the average citation rate for all articles in a given year.
compsci  research  conference  journal  ranking 
august 2007 by stuhlmueller
Open Problem Garden
A collection of unsolved problems in mathematics.
math  research  problems 
july 2007 by stuhlmueller
Decade of the Mind Videos - George Mason University
Leading researchers on many disciplines of brain study – including neuroscience, neurobiology, computer science, robotics and economics – converged at Mason to discuss the urgent need for a decade-long research initiative into brain research.
ai  neuroscience  research  video 
june 2007 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
Trading Agent Competition
The Trading Agent Competition (TAC) is an international forum designed to promote and encourage research into the trading agent problem.
ai  trading  competition  research 
may 2007 by stuhlmueller
Richard Hamming: You and Your Research
Work on important problems, be emotionally involved, change what is difficult, don't make excuses.
research  science  motivation  productivity 
may 2007 by stuhlmueller
A Neuroscience Sampling by Eric R. Kandel
Eric Kandel lists the four major accomplishments in neuroscience in the past year that have inspired him.
neuroscience  kandel  research 
march 2007 by stuhlmueller
Principles of Effective Research (Michael Nielsen)
In any given research field there are usually only a tiny number of papers that are really worth reading. You are almost certainly better off reading deeply in the ten most important papers of a research field than you are skimming the top five hundred.
research  productivity  science 
february 2007 by stuhlmueller
How to do research in the MIT AI lab
Heuristics that may be useful in picking up the specific skills needed for research (reading, writing, programming) and for understanding and enjoying the process itself (methodology, topic and advisor selection, and emotional factors).
research  education  ai  mit 
february 2007 by stuhlmueller
Lists of unsolved problems - Wikipedia, the free encyclopedia
Unsolved problems in biology, chemistry, cognitive science, computer science, economics, Egyptiology, linguistics, mathematics, medicine, neuroscience, philosophy and physics.
science  research  problems  wikipedia 
february 2007 by stuhlmueller
Polyscheme (Nick Cassimatis)
Polyscheme is a cognitive architecture designed to model and achieve human-level intelligence by integrating multiple methods of representation, reasoning and problem solving.
ai  research 
january 2007 by stuhlmueller
Human-Level Intelligence Laboratory (Nick Cassimatis)
The goal of the Human-Level Intelligence Laboratory is to explain human intelligence and design machines with human-level intelligence.
ai  research 
january 2007 by stuhlmueller
Mind Ontology - AGIRIwiki
A systematic ontology of concepts, projects and resources relevant to Artificial General Intelligence.
ai  reference  research  wiki 
november 2006 by stuhlmueller
Human Cognome Project
Paul Allen, Microsoft multi-millionaire, has donated $100M to further brain research. $40M of that has funded a detailed 3D map of the mouse brain, linked to a gene expression database.
cogsci  research  paulallen 
october 2006 by stuhlmueller
Reducing the Risk of Human Extinction by Jason Matheny
The probability of existential risks may be very low, but the expected value of preventing them could be high, as it represents the value of all future lives. This paper reviews the challenges to studying human extinction risks.
future  existentialrisks  research 
october 2006 by stuhlmueller
Eliezer Yudkowsky on “Genius Fools” in AGI
"Genius fools are dangerous because they can’t shape minds at all. It doesn’t matter whether their intentions are good or bad, because the outcome bears no relation to their intentions for it."
yudkowsky  singularity  research 
october 2006 by stuhlmueller
Unprovability of Friendly AI by Shane Legg
"Trying to prove that an AI is friendly is hard, trying to define “friendly” is hard, and trying to prove that you can’t prove friendliness is also hard. Although it is not the desired possibility, I suspect that the latter is actually the case."
friendliness  ai  dallemolle  research  math 
september 2006 by stuhlmueller
Re: Why so few AGI projects?
Good summary by Shane Legg. The main points: Disinterest, lack of funding, pressure to publish, visibility.
ai  science  research 
september 2006 by stuhlmueller
The New AI: General & Sound & Relevant for Physics by Jürgen Schmidhuber
The new millennium has brought substantial progress in the field of theoretically optimal and practically feasible algorithms for prediction, search, inductive inference, problem solving, decision making, and reinforcement learning.
schmidhuber  dallemolle  ai  research 
september 2006 by stuhlmueller
A difficulty with AI reflectivity (SL4)
"The problem with Löb's Theorem seems to generalize to other foundations for self-rewriting AI."
yudkowsky  ai  research 
september 2006 by stuhlmueller
Gödel Machine FAQ
Answers to some of the frequently asked questions received since the publication of the Gödel Machine TR in 2003.
schmidhuber  dallemolle  ai  research  gödel 
september 2006 by stuhlmueller
Optimal Ordered Problem Solver (OOPS) by Jürgen Schmidhuber
Introduces a general and in a certain sense time-optimal way of solving one problem after another, efficiently searching the space of programs that compute solution candidates.
ai  algorithms  dallemolle  research 
september 2006 by stuhlmueller
Gödel Machine Homepage by Jürgen Schmidhuber
Gödel machines are self-referential universal problem solvers making provably optimal self- improvements.
schmidhuber  gödel  ai  research  singularity  dallemolle  *interesting 
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
A Gentle Introduction to the Universal Algorithmic Agent AIXI (Marcus Hutter)
The AIXI model is the most intelligent unbiased agent possible (though uncomputable). A modified version, AIXItl, is still effectively more intelligent than any other time t and space l bounded agent.
ai  aixi  hutter  research 
september 2006 by stuhlmueller
Publications of Ray Solomonoff
Papers on machine learning by Ray Solomonoff. Among others: Inductive inference.
compsci  ai  research 
september 2006 by stuhlmueller
Shane Legg's position regarding the Singularity Institute
"I think that the work they are doing is important as I think that AI could be dangerous, but I'm not sure in what way."
singularity  dallemolle  research  ai 
august 2006 by stuhlmueller
the vetta project
Shane Legg's research blog.
singularity  research  blog  ai 
august 2006 by stuhlmueller
Dalle Molle Institute for Artificial Intelligence (IDSIA)
"We focus on machine learning, optimal universal artificial intelligence and optimal rational agents, operations research, complexity theory, and robotics." — I need to get there.
singularity  schmidhuber  dallemolle  research  ai 
august 2006 by stuhlmueller
Shane Legg
A PhD student of Marcus Hutter working on the theory of near-infinitely-powerful AGI who in past worked with Goertzel on the Webmind AI project in the late 1990's, and with Voss on the A2I2 project.
ai  research  people  singularity  dallemolle 
august 2006 by stuhlmueller
Ben Goertzel — Papers
Artificial Intelligence, Bioinformatics, Psychology, Cognitive Science, ...
psychology  compsci  cogsci  research  goertzel  ai 
august 2006 by stuhlmueller
Bookpool: SuperRecursive Algorithms
New discoveries about algorithms are leading scientists beyond the Church-Turing Thesis. Super-recursive algorithms offer prospects for algorithms of much greater computing power and efficiency.
algorithms  compsci  research  recursion 
august 2006 by stuhlmueller
Sky High: What Distinguished the Highest Performing Team of All? by Michael Vassar [.doc]
The super well funded research project has continued to be an important model for scientific development, despite both the warnings of such illustrious figures as F. Dyson and N. Werner and the visible fact that it has lacked any noteworthy success.
science  research  strategy  vassar 
august 2006 by stuhlmueller
A market-based Eurisko
Market mechanisms suggest how a EURISKO-like system could operate without level boundaries or protected sets of supervisory heuristics.
eurisko  research  algorithms  *informative  ai 
august 2006 by stuhlmueller
Eurisko, The Computer With A Mind Of Its Own
Eurisko is a program written by Doug Lenat. It consists of heuristics, i.e. rules of thumb, including heuristics describing how to use and change its heuristics. It was applied to a number of domains with surprising success.
eurisko  lenat  research  *interesting  ai 
august 2006 by stuhlmueller
Juergen Schmidhuber's home page
Research on mathematically sound, general purpose universal learning machines and Artificial Intelligence.
people  research  ai 
august 2006 by stuhlmueller

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