Artificial Intelligence
AGI 2011: The Future of AGI Workshop
The Fourth Conference on Artificial General Intelligence
Mountain View, California, USA
August 3-6, 2011
- 105 reads
Probabilistic Quantifier Logic for General Intelligence
Indefinite probabilities are a novel technique for quantifying uncertainty, which were created as part of the PLN (Probabilistic Logic Networks)
logical inference engine, which is a key component of the Novamente Cognition Engine (NCE), an integrative AGI system. Previous papers have discussed the use of indefinite probabilities in the context of a variety of logical inference rules, but have omitted discussion of quantification. Here, in this presentation by Matthew Ikle on the paper by the speaker and Ben Goertzel, delivered at the AGI-08 Conference on Artificial General Intelligence, this gap is filled. A mathematical procedure is provided allowing the propagation of indefinite
probabilities through universal and existential quantifiers, and also through a variety of fuzzy quantifiers corresponding to natural language quantifiers (such as “few”, “man”, “a lot”, “hardly any”, etc.).
- 56 reads
The state of AI
Google's Peter Norvig discusses the philosophy and modern state of artificial intelligence.
- 106 reads
Panel: Ben Goertzel, David Chalmers, Steve Omohundro, James Newton-Thomas - AGI
- 74 reads
David Friedman: "Economics of Nanotech and AI"
Drexlerian nanotech implies a production technology with large fixed costs of design, low variable cost of production, low cost of copying-the equivalent for physical objects of the current technology for software. This raises an interesting set of issues, paralleling issues that already exist for software—how does the fixed cost get paid for? As with software, and other current forms of intellectual property, the problem is complicated by the difficulty of enforcing copyright or analogous legal rules in the face of easy copying.
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- 216 reads
Michael Anissimov: "Don't Fear the Singularity, but Be Careful: Friendly AI Design"
When considering the possible impact of advanced artificial intelligence on the future, most futurists use anthropomorphic reasoning about AI behavior and motivations. I argue why these assumptions are a potentially dangerous way to approach the challenge of engineering human-friendly AI, which could be the most important challenge of this century.
- 254 reads
Ben Goertzel on Open Source Artificial Intelligence
Ben Goertzel demonstrates his open source AI project, Opencog. At Singularity Summit 2008.
- 277 reads
Ben Kuipers "AI research" - Winter Intelligence Conference 2011
Ben Kuipers speaking at the 2011 Winter Intelligence Conference at Oxford University, hosted by the Future of Humanity Institute
- 212 reads
IBM Watson - The Science Behind an Answer
Imagine having to analyze millions of gigabytes of financial data, find the important information and then make a recommendation that optimizes the use of your money. That is what the PILL Method Financial Robot© does for our clients. Thank you Watson for paving the way! Artificial Intelligence has come to consumer and business finance. The PILL Method Trust offers its clients the only Artificially Intelligent Financial Robot© in the world!
- 392 reads
What Is Watson?
What Is Watson?
Michael P. Perrone, Manager, Multicore Computing, IBM T.J. Watson Research Center
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- 221 reads