Distributed Expert Systems for Planners

Expert systems can increase the effectiveness of planning. Planning information can be exchanged through intelligent computer/communication aids. More effective knowledge- based management of planning projects is possible through the use of such aids in distributed networks. We discuss the potential and limitations of such networks.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68577/2/10.1177_107554708600800105.pd

A model for learning global properties

This paper reports developments in a mathematical model of cognitive learning. The model describes the processes of formation, testing, and revision of hypotheses held by a learner attempting to understand an environment. The fundamental assumption is that learning proceeds by a feedback cycle, where hypotheses are tested for validity against external reality and reweighted according to the outcome. A particular application of this model to the case of a mechanical "beetle", mapping a geometrical environment, yields results of interest in artificial intelligence and robot design, including results on the computability of several geometrical predicates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/24559/1/0000839.pd