In this paper we will show how robots that are able to exploit behavior that emerge from fine-grained interaction with the physical and social environment can solve complex problems in simple and effective ways. By exploiting the interaction with the environment robots are also able to produce dynamical behaviors involving phases that extend over time scales that are significant larger than the time scale at which interactions with the environment occur. Moreover, we will show how problems that require robots able to detect regularities occurring at different time scales might require control systems that are able to process sensory-motor information at different time scales and to detect amount of changes in amount of time
In this paper we will explicit the complex system and adaptive nature of behaviour. The complex syst...
The timing of movements and of action sequences is difficult when on-line coupling to sensory inform...
Designing controllers for autonomous robots is not an exact science, and there are few guiding princ...
A new research paradigm, that has been called Embodied Cognitive Science [1-4], has recently challen...
We present an approach that enables robots to self-organize their sensorimotor behavior from scratch...
uncover important aspects of biological cognitive processes and additionally formulate design princi...
The robust and adaptive behavior exhibited by natural organisms is the result of a complex interacti...
We motivate and present a definition of an embodied, grounded individual sensorimotor interaction hi...
Our fascination with human intelligence has historically influenced AI research to directly build au...
In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced...
Embodied cognition suggests that complex cognitive traits can only arise when agents have a body sit...
We survey developments in Artificial Neural Networks, in Behaviour-based Robotics and Evolutionary A...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
The learning of sensorimotor contingencies is essential for the development of early cognition. Here...
This thesis is about the investigation of brain and body coupling with agents and objects at multipl...
In this paper we will explicit the complex system and adaptive nature of behaviour. The complex syst...
The timing of movements and of action sequences is difficult when on-line coupling to sensory inform...
Designing controllers for autonomous robots is not an exact science, and there are few guiding princ...
A new research paradigm, that has been called Embodied Cognitive Science [1-4], has recently challen...
We present an approach that enables robots to self-organize their sensorimotor behavior from scratch...
uncover important aspects of biological cognitive processes and additionally formulate design princi...
The robust and adaptive behavior exhibited by natural organisms is the result of a complex interacti...
We motivate and present a definition of an embodied, grounded individual sensorimotor interaction hi...
Our fascination with human intelligence has historically influenced AI research to directly build au...
In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced...
Embodied cognition suggests that complex cognitive traits can only arise when agents have a body sit...
We survey developments in Artificial Neural Networks, in Behaviour-based Robotics and Evolutionary A...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
The learning of sensorimotor contingencies is essential for the development of early cognition. Here...
This thesis is about the investigation of brain and body coupling with agents and objects at multipl...
In this paper we will explicit the complex system and adaptive nature of behaviour. The complex syst...
The timing of movements and of action sequences is difficult when on-line coupling to sensory inform...
Designing controllers for autonomous robots is not an exact science, and there are few guiding princ...