Planning and Executing A Health Sciences Campus IPE Day

Maximizing co-training opportunities on a traditional health sciences campus

Both the economics and the science of modern healthcare demand that the best patient care be delivered by an integrated team of healthcare providers, each expert in their own field, but also expert in the ability to function well as a team member. Functioning as a member of a complex team is not intuitive, and even the best educated among us needs additional instruction to do this well. But eve...

Bioinformatic training needs at a health sciences campus

BACKGROUND Health sciences research is increasingly focusing on big data applications, such as genomic technologies and precision medicine, to address key issues in human health. These approaches rely on biological data repositories and bioinformatic analyses, both of which are growing rapidly in size and scope. Libraries play a key role in supporting researchers in navigating these and other i...

Integrating IPE into an Academic Health Sciences Center: A Bottom-Up and Top-Down Approach

Planning while Executing: A Constraint-Based Approach

We propose a planning architecture where the planner and the executor interact with each other in order to face dynamic changes of the application domain. According to the deferred planning strategy proposed in [14], a plan schema is produced o -line by a generative constraint based planner and re ned at execution time by retrieving up-todate information when that available is no longer valid. ...

Planning, Learning, and Executing in Autonomous Systems

Abs t rac t . Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of actions that will allow the autonomous system to achieve high utility (a similar concept to goals in high-level classical planning) in an unknown world. Execution deals with the interaction with the environmen...