This publication is an edited number of chapters in line with the papers offered on the convention “Beyond AI: synthetic Dreams” held in Pilsen in November 2012. the purpose of the convention was once to question deep-rooted principles of synthetic intelligence and forged serious mirrored image on tools status at its foundations.
Artificial goals epitomize our debatable quest for non-biological intelligence, and consequently the individuals of this ebook attempted to totally make the most this kind of controversy of their respective chapters, which ended in an interdisciplinary discussion among specialists from engineering, typical sciences and humanities.
While pursuing the unreal desires, it has turn into transparent that it's nonetheless an increasing number of tricky to attract a transparent divide among human and computing device. And hence this publication attempts to portrait such a picture of what lies past synthetic intelligence: we will see the disappearing human-machine divide, a vital phenomenon of these days technological society, the phenomenon that is frequently uncritically praised, or hypocritically condemned. And so this phenomenon chanced on its position within the subtitle of the complete quantity in addition to within the name of the bankruptcy of Kevin Warwick, one of many keynote audio system at “Beyond AI: synthetic Dreams”.
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Additional info for Beyond Artificial Intelligence: The Disappearing Human-Machine Divide (Topics in Intelligent Engineering and Informatics, Volume 9)
22 S. Armstrong and K. Sotala design, play-testing, art, programming the game “AI”, etc. Moore’s law could be taken as an ultimate example of grid: we expect the global eﬀorts of many engineers across many fields to average out to a rather predictable exponential growth. Predicting insight, on the other hand, seems a much more daunting task. Take the Riemann hypothesis, a well-established mathematical hypothesis from 1885, . How would one go about estimating how long it would take to solve?
Reflections of the Future (1970) 4. : Further reflections on the timescale of AI. L. ) Solomonoﬀ Festschrift. LNCS, vol. 7070, pp. 174–183. Springer, Heidelberg (2013) 5. : What if uploads come first: The crack of a future dawn. Extropy 6(2) (1994) 6. : Whole brain emulations: A roadmap. Future of Humanity Institute Technical Report 2008-3 (2008) 7. : The very laws of physics imply that artificial intelligence must be possible. What’s holding us up? Aeon (2012) 8. : Basic ai drives. In: Proceedings of the First AGI Conference, vol.
2–8], until the introduction of the term “cyborg” which in 1960 became and still remains the common denominator of these phenomena. The term was coined by Manfred E. Clynes and Nathan S. Kline in the article “Cyborgs and Space” , and was used by the two scientists to describe the advantages of self-regulatory human-machine system adjustable to diﬀerent environments invasive for the human body, that could as such be used for space travel. As a theoretical concept, cyborg was then defined in terms of his/her/its abilities to deliberately incorporate “exogenous components extending the self-regulatory control function of the organism in order to adapt it to new environments” [2, p.