Title : Costs en Benefits of Parameter Tuning
| Presenter | Selmar Smit |
| Abstract | In this talk, I will give an simple introduction on how to use REVAC for optimizing optimizers. REVAC is an Estimation of Density Algorithm that is aimed at calibrating optimizers and estimating the relevance of the optimizer parameters. I will show a case study, in which we use this information to compare 120 different Genetic Algorithms on a specific problem. Using REVAC we were able to judge about the performance and the costs that are needed to reach this level of performance. This will allow researchers to choose between algorithms based on their costs and benefits. Furthermore we were able to introduce new evidence on one of the big debates in the Evolutionary Computation Community. Which is best Mutation or Crossover? |
Title : Modeling Dynamics of Relative Trust of Competitive Information Agents
| Presenter | Syed Waqar Jaffry |
| Abstract | In order for personal assistant agents in an ambient intelligence context to provide good recommendations, or pro-actively support humans in task allocation, a good model of what the human prefers is essential. One aspect that can be considered to tailor this support to the preferences of humans is trust. This measurement of trust should incorporate the notion of relativeness since a personal assistant agent typically has a choice of advising substitutable options. In this paper such a model for relative trust is presented, whereby a number of parameters can be set that represent characteristics of a human. |
| Slides | Click on that link to get the slides |