Anytime algorithms give intelligent systems the capability to trade deliberation time for
quality of results. This capability is essential for successful operation in domains such as …

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Computing: A New Discipline of Computer Science and Engineering KANG G. SHIN, FELLOW …

This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …

In the feature subset selection problem, a learning algorithm is faced with the problem of
selecting a relevant subset of features upon which to focus its attention, while ignoring the …

An architecture for a rational agent must allow for means‐end reasoning, for the weighing of
competing alternatives, and for interactions betwen these two forms of reasoning. Such an …

The SHOP2 planning system received one of the awards for distinguished performance in
the 2002 International Planning Competition. This paper describes the features of SHOP2 …

Our goal is to understand and build comprehensive agents that function effectively in
challenging niches. In particular, we identify a class of niches to be occupied by “adaptive …

This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

This thesis addresses the issues of scale for practical implementations of simultaneous
localisation and mapping (SLAM) in extensive outdoor environments. Building an …

In this doctoral dissertation, we study three basic problems in machine learning and two new
hypothesis spaces with corresponding learning algorithms. The problems we investigate …