Title : On-line evolution of foraging behaviour in a population of robots
| Presenter | Jacqueline Heinerman |
| Abstract | The field of Evolutionary Robotics aims to create robotic controllers with Evolutionary Algorithms. These algorithms are inspired by Darwin’s theory of survival of the fittest. In nature, animals survive and procreate when they are more fit. Similarly, a robotic controller is tested by observing the behaviour of the robot and is given a corresponding fitness measure. The higher the fitness, the more chance this controller has to procreate. Evolving robotic controllers can take a lot time. I investigate a possible way to reduce the learning time by using more robots that share knowledge. Sharing of knowledge results in an increased performance and reduces the learning time. |
Title : Data-aware User Interfaces
| Presenter | Ali Khalili |
| Abstract | The increasing number of Linked Data on the Web provides a wide range of opportunities (data reusability, enrichment, adaptation, navigation, integration, etc.) for enhancing user experience in the Web applications. Despite this fact, when it comes to designing Linked Data UIs, most of the current Linked Data applications treat Linked Data as it is non-Linked Data. Basically the UIs are blind to the meaning which is attached to the data when serving the data to end-users. In this work, we present an anatomy for data-aware user interfaces which can reason and react based on the meaning of data as well as the context in which user is interacting with data. |