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 …
M Veloso, J Carbonell, A Perez, D Borrajo… - … of Experimental & …, 1995 - Taylor & Francis
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 …
B Bonet, G Loerincs, H Geffner - … of the fourteenth national conference on …, 1997 - dl.acm.org
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 …
Y Dimopoulos, B Nebel, J Koehler - European Conference on Planning, 1997 - Springer
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 …
X Wang - Machine Learning Proceedings 1995, 1995 - Elsevier
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 …
F Bacchus, F Kabanza - Proceedings of the 3rd European Workshop on …, 1995 - Citeseer
Over the years increasingly sophisticated planning algorithms have been developed. These have made for more efficient planners, but unfortunately these planners still suffer from …