This state-of-the-art-survey documents the scientific outcome of the International Symposium „Creating Brain-Like Intelligence", which took place in Hohenstein, Germany, in February 2007. It presents an introduction to this emerging interdisciplinary field by drawing together 15 articles from researchers across a broad range of disciplines.
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. It is the versatility of brain-like intelligence, its robustness and plasticity which makes it the object of our quest.
After 50 years of artificial intelligence research however, we are still not able to mimic even the lower level sensory capabilities of animals. But we are beginning to move in the right direction by identifying the biggest obstacles and starting to understand the autonomy, flexibility, and robustness of intelligent biological systems. This collection of articles is evidence of this progress and represents the current state of art in several research fields that are embraced by brain-like intelligence.
Author(s): Bernhard Sendhoff, Edgar Körner, Olaf Sporns (auth.), Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya (eds.)
Series: Lecture Notes in Computer Science 5436 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 351
City: Bristol~Philadelphia
Tags: Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Simulation and Modeling; User Interfaces and Human Computer Interaction; Neurosciences; Neurobiology
Front Matter....Pages -
Creating Brain-Like Intelligence....Pages 1-14
From Complex Networks to Intelligent Systems....Pages 15-30
Stochastic Dynamics in the Brain and Probabilistic Decision-Making....Pages 31-50
Formal Tools for the Analysis of Brain-Like Structures and Dynamics....Pages 51-65
Morphological Computation – Connecting Brain, Body, and Environment....Pages 66-83
Trying to Grasp a Sketch of a Brain for Grasping....Pages 84-102
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans....Pages 103-138
Towards Learning by Interacting....Pages 139-150
Planning and Moving in Dynamic Environments....Pages 151-191
Towards Cognitive Robotics....Pages 192-214
Approaches and Challenges for Cognitive Vision Systems....Pages 215-247
Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress....Pages 248-277
Co-evolution of Rewards and Meta-parameters in Embodied Evolution....Pages 278-302
Active Vision for Goal-Oriented Humanoid Robot Walking....Pages 303-313
Cognitive Adequacy in Brain-Like Intelligence....Pages 314-327
Basal Ganglia Models for Autonomous Behavior Learning....Pages 328-350
Back Matter....Pages -
