In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Intelligent agents are employed as the central characters in this new introductory text.
Beginning with elementary reactive agents, Nilsson gradually increases their cognitive …

Over the years increasingly sophisticated planning algorithms have been developed. These
have made for more efficient planners, but unfortunately these planners still suffer from …

Planning is a complex reasoning task that is well suited for the study of improving
performance and knowledge by learning, ie by accumulation and interpretation of planning …

The ability to plan and react in dynamic environments is central to intelligent behavior yet
few algorithms have managed to combine fast planning with a robust execution. In this …

We present a framework for encoding planning problems in logic programs with negation as
failure, having computational efficiency as our major consideration. In order to accomplish …

This paper describes an approach to automatically learn planning operators by observing
expert solution traces and to further refine the operators through practice in a learning-by …

To construct a perpetual self-aware cognitive agent that can continuously operate with
independence, an introspective machine must be produced. To assemble such an agent, it …

The work described in this paper addresses learning planning operators by observing
expert agents and subsequent knowledge refinement in a learning-by-doing paradigm. The …

Over the years increasingly sophisticated planning algorithms have been developed. These
have made for more efficient planners, but unfortunately these planners still suffer from …