By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
This Festschrift quantity, released in get together of the fiftieth Anniversary of synthetic Intelligence, contains 34 refereed papers written via major researchers within the box of synthetic 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 Verità, Ascona, Switzerland, July 9-14, 2006.
The summit supplied a venue for discussions on old, enterprise, political and academic views of AI; medical alternate at the state-of-the-art; speculations concerning the destiny; contributions by way of researchers from various yet comparable components; shows of the most recent examine through most sensible 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 matters starting from the heritage and clients of AI, to speech popularity and processing, linguistics, bionics, and consciousness.
The papers are equipped in topical sections on historic and Philosophical concerns; info idea and Quantification; Morphology and Dynamics; Neurorobotics; laptop Intelligence, Cognition, and ordinary Language Processing; Human-Like Intelligence: Motivation, feelings, and recognition; robotic structures; and artwork and AI.
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John Wiley & Sons, Chichester (2002) 2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years J¨urgen Schmidhuber TU Munich, Boltzmannstr. ch/˜juergen Abstract. 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.
In: ICML 2006. : Long short-term memory. : Adaptation in Natural and Artificial Systems. : Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability. Springer, Berlin (2004) (On J. : Self-Organization and Associative Memory, 2nd edn. : Grundbegriffe der Wahrscheinlichkeitsrechnung. : Three approaches to the quantitative definition of information. : Universal sequential search problems. : Sensor system and trajectory control of a biped robot. In: AMC 2004. Proc. 8th IEEE International Workshop on Advanced Motion Control, Kawasaki, Japan, pp.
1 The Two Ways of Making a Dent in AI Research There are at least two convincing ways of doing AI research: (1) construct a (possibly heuristic) machine or algorithm that somehow (it does not really matter how) solves a previously unsolved interesting problem, such as beating the best human player of Go (success will outshine any lack of theory). Or (2) prove that a particular novel algorithm is optimal for an important class of AI problems. It is the nature of heuristics (case (1)) that they lack staying power, as they may soon get replaced by next year’s even better heuristics.
50 Years of Artificial Intelligence 4850 by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer