By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
This Festschrift quantity, released in party of the fiftieth Anniversary of man-made Intelligence, comprises 34 refereed papers written via 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 Verità, Ascona, Switzerland, July 9-14, 2006.
The summit supplied a venue for discussions on old, company, political and academic views of AI; clinical alternate at the state-of-the-art; speculations in regards to the destiny; contributions through researchers from varied yet comparable parts; displays of the most recent learn by way of best scientists within the box; in addition to many casual discussions one of the individuals and viewers. the chosen papers replicate the breadth of the subjects provided and mentioned on the summit, masking matters starting from the heritage and customers of AI, to speech popularity and processing, linguistics, bionics, and consciousness.
The papers are equipped in topical sections on old and Philosophical matters; info conception and Quantification; Morphology and Dynamics; Neurorobotics; computer Intelligence, Cognition, and average Language Processing; Human-Like Intelligence: Motivation, feelings, and cognizance; robotic structures; and artwork and AI.
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Additional info for 50 Years of Artificial Intelligence 4850
1 Highlights of AI History—From G¨odel to 2006 G¨odel and Lilienfeld. In 1931, 75 years ago and just a few years after Julius Lilienfeld patented the transistor, Kurt G¨odel layed the foundations of theoretical computer science (CS) with his work on universal formal languages and the limits of proof and computation . He constructed formal systems allowing for self-referential statements that talk about themselves, in particular, about whether they can be derived from a set of given axioms through a computational theorem proving procedure.
We are convinced they will. As discussed above, the new millennium has already brought fundamental new insights into the problem of constructing theoretically optimal rational agents or universal AIs, even if those do not yet immediately translate into practically feasible methods. On the other hand, on a more practical level, there has been rapid progress in learning algorithms for agents interacting with a dynamic environment, autonomously discovering true sequence-processing, problem-solving programs, as opposed to the reactive mappings from stationary inputs to outputs studied in most of traditional machine learning research.
Many information technologies are participating in the invention of new tools for supporting these remarkable developments, and AI can do so as well, even though some of the older ideas will no longer work, such as the reliance on the individual knowledge of an “expert” which used to be the basis for expert systems, or the idea that it is possible to define logically a universal ontology which can be imposed in a top-down fashion on the web. Fifty Years of AI: From Symbols to Embodiment - and Back 27 A second application area which I believe is of extreme importance and to which future AI should contribute with all its force concerns the retooling of our economies so that they become sustainable.
50 Years of Artificial Intelligence 4850 by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer