In this paper we describe a compromise between generative planning and special-purpose software. Hierarchical functional models are used by an intelligent system to represent its ...
In this paper we present an overview of recent developments in the plan-based control of autonomous robots. We identify computational principles that enable autonomous robots to a...
Privacy is often cited as the main reason to adopt a multiagent approach for a certain problem. This also holds true for multiagent planning. Still, papers on multiagent planning ...
Being able to declaratively specify control within a planning (or theorem-proving) paradigm is necessary if we are to build intelligent machines. This paper introduces an implemen...
We describe an approach to the use of case-based techniques for natural language understanding and for action planning in a system for dialogue between a human and a robot, which ...