Evolving Robots Able to Integrate Sensory-Motor Information over Time
Stefano Nolfi, Davide Marocco · Studies in fuzziness and soft computing · 2003
By acting, agents which are embodied and situated, partially determine the sensory patterns they receive from the environment. In this paper we will discuss in which conditions we can expect the emergence of systems able to integrate sensory-motor information over time and later use this information to modulate their behavior accordingly. In doing so we will discuss the problems that these systems should be able to solve and the processes that might lead to a transition from simple agents that only rely on sensory information or on their internal dynamic to systems that are also able to integrate information over time. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.