Download 50 Years of Artificial Intelligence: Essays Dedicated to the by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer PDF

By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer

This Festschrift quantity, released in occasion of the fiftieth Anniversary of synthetic Intelligence, comprises 34 refereed papers written by means of best researchers within the box of man-made Intelligence. The papers have been conscientiously chosen from the invited lectures given on the fiftieth Anniversary Summit of AI, held on the Centro Stefano Franscini, Monte Verit`, Ascona, Switzerland, July 9-14, 2006.

The summit supplied a venue for discussions on ancient, company, political and academic views of AI; clinical alternate at the cutting-edge; speculations concerning the destiny; contributions by way of researchers from varied yet comparable components; shows of the most recent study by way of most sensible scientists within the box; in addition to many casual discussions one of the individuals and viewers. the chosen papers mirror the breadth of the subjects offered and mentioned on the summit, protecting matters starting from the historical past and clients of AI, to speech acceptance and processing, linguistics, bionics, and consciousness.

The papers are geared up in topical sections on historic and Philosophical matters; info conception and Quantification; Morphology and Dynamics; Ne

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Extra resources for 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence

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Sensor system and trajectory control of a biped robot. In: AMC 2004. Proc. 8th IEEE International Workshop on Advanced Motion Control, Kawasaki, Japan, pp. 393–398. : Perceptrons. : Principles of artificial intelligence. : Gradient calculations for dynamic recurrent neural networks: A survey. : Understanding Intelligence. : All Life Is Problem Solving. : Evolutionsstrategie - Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Dissertation, 1971. : Modeling by shortest data description.

Holland [10], 1970s), often gave better results than classical approaches. In the following decades, other types of “subsymbolic” AI also became popular, especially neural networks. Early neural net papers include those of McCulloch & Pitts, 1940s (linking certain simple neural nets to old and wellknown, simple mathematical concepts such as linear regression); Minsky & Papert [17] (temporarily discouraging neural network research), Kohonen [12], Amari, 1960s; Werbos [40], 1970s; and many others in the 1980s.

When Kurt G¨odel layed the foundations of theoretical computer science in 1931, he also introduced essential concepts of the theory of Artificial Intelligence (AI). Although much of subsequent AI research has focused on heuristics, which still play a major role in many practical AI applications, in the new millennium AI theory has finally become a full-fledged formal science, with important optimality results for embodied agents living in unknown environments, obtained through a combination of theory a` la G¨odel and probability theory.

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