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 engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and inter-est in learning new behaviours. The adaptive value...
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capaci...
This book presents the state of the art in research on intrinsically motivated learning and presents novel tools for research. It also identifies related scientific and technological open challenges as well as promising research directions.
This book presents the state of the art in research on intrinsically motivated learning and presents novel tools for research. It also identifies rela...
While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain.
While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale u...
