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by Bernhard Sendhoff,Edgar Körner,Olaf Sporns,Helge Ritter,Kenji Doya

Download Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems (Lecture Notes in Computer Science) ePub

TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.

Brain-Like intelligence attempts a representation of the environment including the system itself. It is the versatility of brain-like intelligence, its robustness and plasticity which makes it the object of our quest.

Brain-Like intelligence attempts a representation of the environment including the system itself. It has to cope with a continuous influx of an immense amount of mostly unspecific information and cannot be identified with a singular functionality.

Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji .

Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya. This vey documents the scientific outcome of the International Symposium „Creating Brain-Like Intelligence", which took place in Hohenstein, Germany, in February 2007. Brain-Like intelligence attempts a representation of the environment including the system itself.

Creating Brain-Like Intelligence. Creating Brain-Like Intelligence.

Bernhard Sendhoff, Edgar Körner, +2 authors Kenji Doya. From Complex Networks to Intelligent Systems. Stochastic Dynamics in the Brain and Probabilistic Decision-Making. Formal Tools for the Analysis of Brain-Like Structures and Dynamics. Morphological Computation - Connecting Brain, Body, and Environment. Trying to Grasp a Sketch of a Brain for Grasping. Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans. Towards Learning by Interacting. Planning and Moving in.

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Creating Brain-Like Intelligence book. Goodreads helps you keep track of books you want to read. Start by marking Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems as Want to Read: Want to Read savin. ant to Read. As a basic element of organisms, motivation shapes the action pattern. opening a door or tying a shoe lace) by imitating their parents; adults continue to learn by imitating skilled instructors (. There are abundant biological and social systems that originate from motivations, which have attracted widespread attention.

Brain-Like intelligence attempts a representation of the environment including the system itself Series: Lecture Notes in Computer Science 5436 : Lecture Notes in Artificial Intelligence. Series: Lecture Notes in Computer Science 5436 : Lecture Notes in Artificial Intelligence.

Finding books BookSee BookSee - Download books for free. Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya. Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems (Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence).

This volume features contributions based on the presentations given at the International Symposium Creating Brain-Like Intelligence, held in Hohenstein, Germany, February 2007. ldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Lecture Notes in Artificial Intelligence.

Дата издания: 2009 Серия: Lecture notes in computer science, lecture notes in artificial intelligence Язык: ENG .

Дата издания: 2009 Серия: Lecture notes in computer science, lecture notes in artificial intelligence Язык: ENG Иллюстрации: Illustrations Размер: 2. 1 x 1. 9 x . 9 cm Читательская аудитория: Professional & vocational Рейтинг: Поставляется из: Германии Описание: A survey that documents the scientific outcome of the International Symposium auCreating Brain-Like Intelligence, which took place in Hohenstein, Germany, in February 2007.

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