Perception-Action Cycle Models, Architectures, and Hardware /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cutsuridis, Vassilis (Επιμελητής έκδοσης), Hussain, Amir (Επιμελητής έκδοσης), Taylor, John G. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2011.
• Σειρά: Springer Series in Cognitive and Neural Systems
• Θέματα: Medicine.; Neurosciences.; Computers.; Neurobiology.; Biomedicine.; Computation by Abstract Devices.; Signal, Image and Speech Processing.

The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behavior towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy...

Πίνακας περιεχομένων:

• Preface
• Contents
• Contributors
• Part I. Computational neuroscience models
• Chapter 1. The Role of Attention in Shaping Visual Perceptual Processes John Tsotsos, Albert L. Rothenstein
• Chapter 2. Sensory fusion Mauro Ursino, Elisa Magosso, Cristiano Cuppini
• Chapter 3. Modeling learning and memory consistently from psychology to physiology, Andrew Coward
• Chapter 4. Value maps, drives and emotions Daniel Levine
• Chapter 5. Computational neuroscience models: Error monitoring, conflict resolution and decision making Joshua Brown, William H. Alexander
• Chapter 6. Neural Network Models for Reaching and Dexterous Manipulation in Humans and Anthropomorphic Robotic Systems Rodolphe Gentili, Hyuk Oh, Javier Molina, Jose Contreras-Vidal
• Chapter 7. Schemata learning Jun Tani, Ryunosuke Nishimoto
• Chapter 8. Perception-reason-conceptualization-knowledge representation-reasoning representation-action cycle: The view from the brain John Taylor
• Chapter 9. Consciousness, decision making and neural computation Edmund Rolls
• Chapter 10. A Review of Consciousness Models John G. Taylor
• Part II. Cognitive architectures
• Chapter 11. Vision, attention control and goals creation system, Konstantinos Rapantzikos, Yiannis Avrithis, Stefanos Kolias
• Chapter 12. Semantics extraction from multimedia data: an ontology-based machine learning approach Sergios Petridis, Stavros Perantonis
• Chapter 13. Cognitive algorithms and systems of episodic memory, semantic memory and their learnings Qi Zhang
• Chapter 14. Motivational Processes Within the Perception-Action Cycle Ron Sun, Nick Wilson
• Chapter 15. Error monitoring, conflict resolution and decision making Pedro Lima
• Chapter 16. Developmental Learning of Cooperative Robot Skills: A Hierarchical Multi-Agent Architecture John Karigiannis, Theodoros Rekatsinas, Costas S. Tzafestas
• Chapter 17. Actions & Imagined Actions in Cognitive robots Vishwanathan Mohan, Pietro Morasso, Giorgio Metta, Stathis Kasderidis
• Chapter 18. Cognitive Algorithms and Systems: Reasoning and Knowledge Representation Artur S. d'Avila Garcez, Luis C. Lamb
• Chapter 19. Information theory of decisions and actions Tali Tishby, Daniel Polani
• Chapter 20. Artificial consciousness, Antonio Chella, Riccardo Manzotti
• Part III. Hardware implementations
• Chapter 21. Smart sensor networks Alvin Lim
• Chapter 22. Multisensor Fusion for Low-Power Wireless Microsystems, Alan Murray, Tong Boon Tang
• Chapter 23. Bio-inspired mechatronics and control interfaces. Panagiotis Artemiadis, Kostas Kyriakopoulos.-Subject index.