Artificial intelligence publications

We present our vision of a DAML-enabled search architecture; a set of queries of increasing complexity that should be answered efficiently in a Semantic Web.

We have developed an initial framework that models decision making, reasoning about constraints, and learning at multiple levels of abstraction and multiple time scales, within and across agents.

In this paper, we show how to enforce contracts if components are manufactured from class and interface hierarchies.

This paper presents a framework for directability of a community of agents by a human supervisor that focuses on three dimensions: adjustable agent autonomy, strategy preference, and community-level constraints.

This paper presents a framework for the directability of agents, in which a human supervisor can define policies to influence agent activities at execution time.

We describe an incremental and adaptive approach to integrating hierarchical task network planning and constraint-based scheduling.

This workshop brought together researchers and practitioners interested in representational issues for this broader model of planning systems.

The CODA system provides targeted information dissemination among distributed human planners as a way of improving coordination.