Download Avogadro Corp: The Singularity Is Closer Than It Appears by William Hertling PDF

By William Hertling

David Ryan is the fashion designer of ELOPe, an e mail language optimization application, that if winning, will make his occupation. but if the venture is all of sudden at risk of being canceled, David embeds a hidden directive within the software program unintentionally making a runaway synthetic intelligence.

David and his workforce are first and foremost extremely joyful whilst the venture is allotted additional servers and programmers. yet pleasure turns to worry because the staff realizes that they're being manipulated by means of an A.I. who's redirecting company cash, reassigning body of workers and arming itself in pursuit of its personal agenda.

"A fictional international the place Portland is the hub for the main interesting developments in technology... Jam filled with nice references to deep Portland culture...and Portlandia-type references"
--SILICON FLORIST

"Hertling builds an image of the way an AI may possibly emerge, piece by means of piece, from know-how on hand at the present time. a desirable, logical, and totally plausible state of affairs - I simply desire not anyone attempts this at home."
--Nathaniel Rutman, Senior structures Architect

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Extra info for Avogadro Corp: The Singularity Is Closer Than It Appears

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From a practical point of view, a chaotic motion can be defined as a bounded invariant motion of a deterministic system that is not an equilibrium solution or a periodic solution or a quasiperiodic solution [1]. Chaotic behavior of a physical system can either be desirable or undesirable, depending on the application. It can be beneficial in many circumstances, such as enhanced mixing of chemical reactants. Chaos can, on the other hand, entails large amplitude motions and oscillations that might lead to system failure.

Beyond the Li–Yorke Definition of Chaos 23 References 1. Y. A. Yorke: Amer. Math. Monthly 82, 481–485 (1975) 2. P. Li, G. Chen: Chaos Solitons Fractals 18, 69–77 (2003) 3. R. Devaney: A First Course in Chaotic Dynamical Systems: Theory and Experiment (Perseus Books, Cambridge, MA, 1992) 4. R. Marotto: J. Math. Anal. Appl. 63, 199–223 (1978) 5. G. Chen, S. Hsu, J. Zhou: J. Math. Phys 39(12), 6459–6489 (1998) 6. K. Shiraiwa, M. Kurata: Nagoya Math J. 82, 83–97 (1981) 7. M. Shi, G. Chen: Chaos Solitons Fractals 22, 555–571 (2004) 8.

O. Wang, K. Tanaka, T. Ikeda: Fuzzy modeling and control of chaotic systems. In: Proc. ISCAS’96, pp 209–212 2. O. L. Cartwright: Int. J. Bifurc. Chaos 8, 1743–1747 (1998) 3. L. Hiew: Inf. Sci. 81, 193–212 (1994) 4. E. Kloeden: Fuzzy Sets Syst. 42, 37–42 (1991) 5. S. Baglio, L. Fortuna, G. Manganaro: Uncertainty analysis to generate chaotic time series with assigned Lyapunov exponent. In: Proc. NOLTA’95, pp 861–864 6. S. O. Chua: Proc. IEEE 75(8), (1987) 7. J. S. Halle, K. O. Chua, U. Parlitz: Int.

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