Artificial General Intelligence: 7th International - download pdf or read online

By Ben Goertzel, Laurent Orseau, Javier Snaider

ISBN-10: 3319092731

ISBN-13: 9783319092737

ISBN-10: 331909274X

ISBN-13: 9783319092744

This booklet constitutes the refereed court cases of the seventh foreign convention on synthetic basic Intelligence, AGI 2014, held in Quebec urban, quality control, Canada, in August 2014. The 22 papers and eight posters have been rigorously reviewed and chosen from sixty five submissions. Researchers have famous the need of returning to the unique targets of the sphere via treating intelligence as an entire. more and more, there's a demand a transition again to confronting the tougher problems with "human-level intelligence" and extra widely synthetic normal intelligence. AGI study differs from the normal AI examine through stressing at the versatility and wholeness of intelligence and through conducting the engineering perform in accordance with an summary of a method akin to the human brain in a definite experience. The AGI convention sequence has performed and maintains to play, an important position during this resurgence of study on synthetic intelligence within the deeper, unique feel of the time period of "artificial intelligence". The meetings motivate interdisciplinary study in accordance with varied understandings of intelligence and exploring diverse approaches.

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Extra info for Artificial General Intelligence: 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014. Proceedings

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73–80 (2006) 7. : Solution of a problem of Leon Henkin. J. Symb. Log. 20(2), 115–118 (1955) 8. org/2013/09/06/laurent-orseau-on-agi/ 9. : Theory of games and economic behavior, vol. 60. Princeton University Press, Princeton (1947) 10. : Space-time embedded intelligence. , Ikl´e, M. ) AGI 2012. LNCS, vol. 7716, pp. 209–218. Springer, Heidelberg (2012) 32 B. Fallenstein and N. Soares 11. : Dualism. N. ) The Stanford Encyclopedia of Philosophy. Winter 2012 edition (2012) 12. : Ultimate cognition a ` la G¨ odel.

A formal model based on that framework cannot capture this. How should one reason about such an agent? Orseau and Ring [10] have proposed a formal model of space-time embedded intelligence to deal with this complexity. Their model consists of a set Π of policies, describing the state of the agent at a given point in time; an environment ρ(πt+1 | π1:t ), giving the B. Goertzel et al. ): AGI 2014, LNAI 8598, pp. 21–32, 2014. c Springer International Publishing Switzerland 2014 22 B. Fallenstein and N.

Second, it seems likely that many features of the following analysis will have analogs in frameworks not based on formal proofs. We give an intuitive example, based on what Yudkowsky [13] calls the “procrastination paradox”, of how an agent that trusts future versions of itself too much can reason itself into taking actions that are clearly unsafe. More formally, a system due to Christiano et al. [1], which uses probabilities instead of proofs in an attempt to circumvent the L¨ obian obstacle, attains “too much self-trust” and succumbs to the procrastination paradox in almost the same form as proof-based systems [3].

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Artificial General Intelligence: 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014. Proceedings by Ben Goertzel, Laurent Orseau, Javier Snaider

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