Creating Brain-Like Intelligence From Basic Principles to Complex Intelligent Systems /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sendhoff, Bernhard (Επιμελητής έκδοσης), Körner, Edgar (Επιμελητής έκδοσης), Sporns, Olaf (Επιμελητής έκδοσης), Ritter, Helge (Επιμελητής έκδοσης), Doya, Kenji (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5436
• Θέματα: Medicine.; Neurosciences.; Computer programming.; Computers.; User interfaces (Computer systems).; Artificial intelligence.; Computer simulation.; Biomedicine.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Computation by Abstract Devices.; Simulation and Modeling.; User Interfaces and Human Computer Interaction.

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 r...

Πίνακας περιεχομένων:

• Creating Brain-Like Intelligence
• 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 Dynamic Environments
• Towards Cognitive Robotics
• Approaches and Challenges for Cognitive Vision Systems
• Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress
• Co-evolution of Rewards and Meta-parameters in Embodied Evolution
• Active Vision for Goal-Oriented Humanoid Robot Walking
• Cognitive Adequacy in Brain-Like Intelligence
• Basal Ganglia Models for Autonomous Behavior Learning.