By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
This Festschrift quantity, released in get together of the fiftieth Anniversary of synthetic Intelligence, comprises 34 refereed papers written by means of major 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 old, enterprise, political and academic views of AI; clinical alternate at the state of the art; speculations concerning the destiny; contributions by way of researchers from assorted yet comparable parts; displays of the most recent examine through best scientists within the box; in addition to many casual discussions one of the members and viewers. the chosen papers mirror the breadth of the subjects provided and mentioned on the summit, protecting topics starting from the historical past and clients of AI, to speech reputation and processing, linguistics, bionics, and consciousness.
The papers are prepared in topical sections on old and Philosophical matters; details concept and Quantification; Morphology and Dynamics; Ne
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Additional info for 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence
For example, chess world champion Kasparov was beaten by a fast IBM computer running a fairly standard algorithm. Rather simple but computationally expensive probabilistic methods for speech recognition, statistical machine translation, computer vision, optimization, virtual realities etc. started to become feasible on PCs, mainly because PCs had become 1000 times more powerful within a decade or so. 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.
6 Optimal Curiosity and Creativity No theory of AI will be convincing if it does not explain curiosity and creativity, which many consider as important ingredients of intelligence. We can provide an explanation in the framework of optimal reward maximizers such as those from the previous subsection. It is possible to come up with theoretically optimal ways of improving the predictive world model of a curious robotic agent , extending earlier ideas on how to implement artificial curiosity : The rewards of an optimal reinforcement learner are the predictor’s improvements on the observation history so far.
Shouldn’t researchers on Artificial Intelligence (AI) and Artificial Life (AL) agree on basic questions such as: What is Intelligence? What is Life? Interestingly they don’t. Are Cars Alive? For example, AL researchers often offer definitions of life such as: it must reproduce, evolve, etc. Cars are alive, too, according to most of these definitions. For example, cars evolve and multiply. They need complex environments with car factories to do so, but living animals also need complex environments full of chemicals and other animals to reproduce — the DNA information by itself does not suffice.