Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Conformant planning is the task of generating plans given uncertainty about the initial state and action effects, and without any sensing capabilities during plan execution. The p...
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
We developed DataBoard, a freeform spatial interface, to support users in simple problem solving tasks. To develop a deeper understanding of the role of space and the tradeoffs be...
Eser Kandogan, Juho Kim, Thomas P. Moran, Pablo Pe...
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...