Intention-based expressions in GASTINE.

OBJECTIVES: 1) To evaluate the design of the framework for computerized intention-based clinical practice guidelines; 2) to implement runtime features such as plan recognition and backtracking. METHOD: To evaluate the design, we implemented the heart failure guideline into GASTINE, a tool for representing and executing intention-based clinical guidelines. RESULT: Description of the current implementation of intention-based expressions in GASTINE and analysis of some generic shortcomings. Explanation of how these shortcomings are addressed. Presentation of how plan recognition and backtracking work and how they improve the system. CONCLUSION: The improved guideline system is rather flexible, i.e., it allows deviations from the guideline as long as they are in the spirit of the guideline. The recognition of actions as intended by the users facilitates a flexible decision support system. The intentions are used to explain why certain actions were suggested. Therefore it is assumed that showing the intention behind suggested actions provides a better insight into why these actions are advised.

Evolution of visual resolution constrained by a trade-off.

The evolution of visual systems is constrained by a trade-off between spatial and temporal resolution. In this article we aim at identifying the causes of the trade-off at the retinal level in both artificial and natural visual systems. We start by selecting two factors that limit the values of spatial and temporal resolution. Then we show in two experiments on the evolution of an artificial system that the two factors induce trade-off curves connecting the evolved values of spatial and temporal resolution. A comparison of the experimental results with the resolution evolved in natural visual systems leads us to the conclusion that in natural systems the same factors are responsible for the observed trade-off.