as assimilation---ultimately PBD and ML shall, in the words of Genesis, cleave unto each other: and they shall be one flesh.

learned for usable AI Programming by demonstration systems have long attempted to make it possible for people to program computers without writing code. However, while these systems have resulted in many publications in AI venues, none of the technologies have yet achieved widespread adoption

Programming by demonstration systems have long attempted to make it possible for people to program computers without writing code. These systems typically employ artificial intelligence techniques to learn from user behavior in order to predict their future behavior. However, while these systems

with the application of PbD in the fiehi of robotics. Furthermore, we outline the design methodology for an int(,grated system providing an interactive robot programming interface based on demonstrations and the analysis of user intentions.

Robot control requires comprehending the workspace and limitations of the complex multi-joint robotic system. The structure of visual guidance system accompanying the training scenario affects the efficiency of eye-hand coordination and decision making of how to avoid and compensate for a situation

Programming by Demonstration (PbD) is a new programming method in which new functionalities are coded by simply showing them to a PbD system. The prospects of possibly successful applications in the domains of text and graphics editors, user interfaces, personal assistants, or robot programming

, and ScaLAPACK in double precision via pbdMPI based on ScaLAPACK version 2.0.2. SystemRequirements OpenMPI (> = 1.5.4) on Solaris, Linux, Mac, and

An open question in the area of Programming by Demonstration (PBD) is how to best represent the inferred program. Without a way to view, edit, and share programs, PBD systems will never reach their full potential. We designed and implemented two graphical representation languages for a PBD desktop

to demonstrate a procedure multiple times and generalizing the requisite behavior with machine learning. Unfortunately, many PBD systems are almost as brittle as macro recorders, offering few ways for a user to control the learning process or correct the demonstrations used as training examples. This paper

An innovative task learning system called PLOW (Procedure Learning On the Web) lets end-users teach procedural tasks to automate their various web activities. Deep natural understanding and mixed-initiative interaction in PLOW makes the teaching process very natural and intuitive while producing