Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Complex systems are those systems composed of many, often very simple, interacting autonomous entities. Interactions between these entities give rise to behaviour and patterns at t...
Timeliness in conventional real-time systems is addressed by employing well-known scheduling techniques that guarantee the execution of a number of tasks within certain deadlines. ...
— In this paper we design coordination policies for a routing problem requiring human-assisted classification of targets through analysis of information gathered on-site by auto...
Creating good adaptation policies is critical to building complex autonomic systems since it is such policies that define the system configuration used in any given situation. W...
Gueyoung Jung, Kaustubh R. Joshi, Matti A. Hiltune...