Intrinsically Motivated Learning in Natural and Artificial Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Baldassarre, Gianluca (Επιμελητής έκδοσης), Mirolli, Marco (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Θέματα: Computer science.; Neurosciences.; Artificial intelligence.; Computational intelligence.; Control engineering.; Robotics.; Mechatronics.; Cognitive psychology.; Computer Science.; Artificial Intelligence (incl. Robotics).; Cognitive Psychology.; Control, Robotics, Mechatronics.; Computational Intelligence.

It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engag...

Πίνακας περιεχομένων:

• Chap. 1 - Intrinsically Motivated Learning Systems: An Overview
• Chap. 2 - Intrinsic Motivation and Reinforcement Learning
• Chap. 3 - Functions and Mechanisms of Intrinsic Motivations
• Chap. 4 - Exploration from Generalization Mediated by Multiple Controllers
• Chap. 5 - Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity
• Chap. 6 - The Role of the Basal Ganglia in Discovering Novel Actions
• Chap. 7 - Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation
• Chap 8 - Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots
• Chap. 9 - Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures
• Chap. 10 - The Hippocampal-VTA Loop: The Role of Novelty and Motivation in Controlling the Entry of Information into Long-Term Memory
• Chap. 11 - Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM)
• Chap. 12 - Intrinsically Motivated Affordance Discovery and Modeling
• Chap. 13 - Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints
• Chap. 14 - Investigating the Origins of Intrinsic Motivation in Human Infants
• Chap. 15 - A Novel Behavioural Task for Researching Intrinsic Motivations
• Chap. 16 - The “Mechatronic Board”: A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots
• Chap. 17 - The iCub Platform: A Tool for Studying Intrinsically Motivated Learning.