Since researchers in each of the many various subfields of machine learning are often
unaware of related work done within the other subfields, this book brings together many of …

As robotics and automation applications extend to the service sector, researchers have to
increasingly deal with performing robotic actions in uncertain and unstructured …

Soar is an architecture for intelligence that integrates learning into all of its problem-solving
behavior. The sole learning mechanism, chunking, has been studied experimentally in a …

A great challenge in developing planning systems for practical applications is the difficulty of
acquiring the domain information needed to guide such systems. This paper describes a …

The static and predetermined capabilities of many knowledge-based design systems
prevent them from acquiring design experience for future use. To overcome this limitation …

Disciple is an apprenticeship, multistrategy learning approach for developing intelligent
agents where an expert teaches the agent to perform domain-specific tasks in a way that …

In this paper the need for Intelligent Computer Aided Design (Int. CAD) to jointly support
design and learning assistance is introduced. The paper focuses on presenting and …

Abstract Whereas a Learning Apprentice System stresses the generation and refinement of
shallow rules of a performance program, presupposing a domain theory, BLIP‡ is mainly …

Intelligent tutoring systems are effective for improving students' learning outcomes (Bowen et
al., 2013; Koedinger & Anderson, 1997; Pane et al., 2013). However, constructing tutoring …

This research examines the process of learning problem solving with minimal requirements
for a priori knowledge and teacher involvement. Experience indicates that knowledge about …