By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
This Festschrift quantity, released in social gathering of the fiftieth Anniversary of synthetic Intelligence, contains 34 refereed papers written by way of major researchers within the box of man-made Intelligence. The papers have been rigorously 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 trade at the state of the art; speculations in regards to the destiny; contributions by way of researchers from assorted yet similar parts; displays of the most recent learn via best scientists within the box; in addition to many casual discussions one of the contributors and viewers. the chosen papers mirror the breadth of the themes offered and mentioned on the summit, masking matters starting from the historical past and clients of AI, to speech attractiveness and processing, linguistics, bionics, and consciousness.
The papers are prepared in topical sections on ancient and Philosophical concerns; info conception and Quantification; Morphology and Dynamics; Ne
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Additional resources for 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence
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. : The SOAR Papers. : Curious model-building control systems. In: Proceedings of the International Joint Conference on Neural Networks, Singapore, vol.
Of course such approaches are bound to fail if there are temporal dependencies exceeding the time window size. Large time windows, on the other hand, yield unacceptable numbers of free parameters. , . RNNs have adaptive feedback connections that allow them to learn mappings from input sequences to output sequences. They can implement any sequential, algorithmic behavior implementable on a personal computer. In gradient-based RNNs, however, we can differentiate our wishes with respect to programs, to obtain a search direction in algorithm space.
2006. As noted by Stefan Artmann (personal communication, 2006), today’s AI textbooks seem substantially more complex and less unified than those of several decades ago, e. , , since they have to cover so many apparently quite different subjects. There seems to be a need for a new unifying view of intelligence. In the author’s opinion this view already exists, as will be discussed below. 2 Subjective Selected Highlights of Present AI The more recent some event, the harder it is to judge its long-term significance.
50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer