Publications Search

This report describes a reactive system for reasoning about and performing complex tasks in dynamic environments. A powerful and theoretically sound scheme for representing and reasoning about actions and processes has been devised.

Our research program concentrates especially on the development of systems that can automatically generate and execute complex plans and that can obtain information about their environment through the sense of vision.

This report discusses a new approach to the specification of properties of multiagent environment and the generation of plans for such domains. The ideas presented elaborate previous work on a formal, behavioral model of concurrent action, called GEM (the Group Element Model).

A new coarse-coding technique is presented for labeling image pixels and regions to match exemplars or multivariate material signatures. This multinomial classification method can be used for object cuing and tracking, as well as for material identification and image segmentation.