Artificial intelligence publications

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.

In this paper, we focus on the process of reuse and report a case study on constructing a KB by reusing existing knowledge. The reuse process involved the following steps:…

A new approach is taken to address the various aspects of the multi-sensor, multi-target tracking (MTT) problem in dense and noisy environments. Instead of fixing the trackers on the potential…

A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any "ground truth", it uses the self-consistency of the outputs of an algorithm independently…