Clustering is a fundamental technique in data mining and pattern recognition, which has
been successfully applied in several contexts. However, most of the clustering algorithms …

Artificial intelligence has progressed to the point where multiple cognitive capabilities are
being integrated into computational architectures, such as SOAR, PRODIGY, THEO, and …

Publisher Summary This chapter describes a system that learns concepts in structured
domains. Most recent work on unsupervised concept learning has been limited to …

Cognitive architectures serve as both unified theories of the mind and as computational
infrastructures for constructing intelligent agents. In this article, we review the evolution of …

Three key components of an autonomous intelligent system are planning, execution, and
learning. This paper describes how the Soar architecture supports planning, execution, and …

We describe ARACHNE, a concept formation system that, uses explicit constraints on tree
structure and local restructuring operators to produce well-formed probabilistic concept …

Cognitive architectures and generative models are two very different approaches for
developing general embodied intelligence. This paper investigates their initial motivation …

To serve effectively as an autonomous agent, a system must integrate a variety of problem
solving and learning behavior. For example, it is likely that an agent will have multiple …

The contributions in Toward Learning Robots address the question of how a robot can be
designed to acquire autonomously whatever it needs to realize adequate behavior in a …

Planning systems often make the assumption that omniscient world knowledge is available.
Our approach makes the more realistic assumption that the initial knowledge about the …