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

ISBN-10: 3540772952

ISBN-13: 9783540772958

ISBN-10: 3540772960

ISBN-13: 9783540772965

This Festschrift quantity, released in party of the fiftieth Anniversary of synthetic Intelligence, contains 34 refereed papers written by means of top researchers within the box of synthetic 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, company, political and academic views of AI; clinical trade at the state of the art; speculations in regards to the destiny; contributions through researchers from diverse yet similar components; displays of the most recent learn by means 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 offered and mentioned on the summit, overlaying matters starting from the background and clients of AI, to speech reputation and processing, linguistics, bionics, and consciousness.

The papers are geared up in topical sections on historic and Philosophical matters; info idea 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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But as equal partners bringing our own insights to the table. References 1. : Agent-based modeling as a bridge between disciplines. , Tesfatsion, L. ) Handbook of Computational Economics: Agent-Based Computational Economics, North-Holland (2006) 2. : The Symbolic Species: The Co-evolution of Language and the Brain. , New York (1998) 3. : What Computers Can’t Do: The Limits of Artificial Intelligence. Harpers and Row, New York (1972) 4. : Distributed representations: Simple recurrent networks, and grammatical structure.

Since virtually all realistic sensory inputs of robots and other cognitive systems are sequential by nature, the future of machine learning and AI in general depends on progress in in sequence processing as opposed to the traditional processing of stationary input patterns. To narrow the gap between learning abilities of humans and machines, we will have to study how to learn general algorithms instead of such reactive mappings. Most traditional methods for learning time series and mappings from sequences to sequences, however, are based on simple time windows: one of the numerous feedforward ML techniques such as feedforward neural nets (NN) [1] or support vector machines [38] is used to map a restricted, fixed time window of sequential input values to desired target values.

G¨odel machines: fully self-referential optimal universal problem solvers. , Pennachin, C. ) Artificial General Intelligence, pp. 201–228. : Is history converging? Again? idsia. : New millennium AI and the convergence of history. , Mandziuk, J.

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


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