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Machine Theory

Artificial General Intelligence: 7th International by Ben Goertzel, Laurent Orseau, Javier Snaider

By Ben Goertzel, Laurent Orseau, Javier Snaider

This ebook constitutes the refereed complaints of the seventh foreign convention on synthetic common Intelligence, AGI 2014, held in Quebec urban, quality controls, Canada, in August 2014. The 22 papers and eight posters have been conscientiously reviewed and chosen from sixty five submissions. Researchers have well-known the need of returning to the unique targets of the sector by way of treating intelligence as a complete. more and more, there's a demand a transition again to confronting the more challenging problems with "human-level intelligence" and extra greatly man made basic intelligence. AGI examine differs from the standard AI study through stressing at the versatility and wholeness of intelligence and via conducting the engineering perform based on an summary of a method reminiscent of the human brain in a undeniable experience. The AGI convention sequence has performed and keeps to play, an important position during this resurgence of analysis on man made intelligence within the deeper, unique experience of the time period of "artificial intelligence". The meetings motivate interdisciplinary study in keeping with assorted understandings of intelligence and exploring diversified approaches.

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

Example text

Given (4) and T = T , it is not difficult to formalize this reasoning using the proof from the previous section (we set O := {ˆ o}; A := {1, 0} for pressing and not pressing the button; EU(ˆ o, 1) := 1; and EU(ˆ o, 0) := EU(ˆ o, svT ( EU , σ, πfb )), with πfb (ˆ o) = 1). But at the same time, the informal reasoning does not depend on details of how our AGI works; it merely requires a sufficient amount of trust in the reasoning of the agent’s successor. In fact, different formal versions of the same intuitive argument have been used in [13] and [3] to show problems with two distinct attempts at avoiding the L¨obian obstacle.

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.

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. Cognitive Computation 1(2), 177–193 (2009) 13. pdf 14. fr Abstract. We propose a general artificial intelligence approach for handling contradictory knowledge. Depending on the available computational resources, reasoning ranges from credulous to forms of skepticism with respect to the incompatible branches of alternatives that the contradictions entail.

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