Increasingly, machine learning is entertained as a mechanism for improving the efficiency of planning systems. Research in this area has generated an impressive battery of techniques and a growing body of empirical successes. Unfortunately the formal properties of these systems are not well understood. This is highlighted by a growing corpus of…

The PRODIGY/EBL system [Minton88] was one of the first works to directly attack the problem of strategy utility. The problem of finding effective strategies was reduced to the problem of finding effective rules. However, this paper illustrates limitations of the approach. There are two basic difficulties. The first arises from the fact that the…

In machine learning there is considerable interest in techniques which improve planning ability. Initial investigations have identified a wide variety of techniques to address this issue. Progress has been hampered by the utility problem, a basic tradeoff between the benefit of learned knowledge and the cost to locate and apply relevant knowledge.…

Outlines a behavioral approach to information retrieval system design based on the derivation of a behavioral model of the information-seeking patterns of academic social scientists. The extent to which identified information-seeking characteristics are supported by existing systems is considered, and requirements for implementing these features…

Reports on design and rationale of Online Access to Knowledge, a computer intermediary developed by Online Access to Knowledge Project to enable users with little or no training or experience in bibliographic searching to conduct their own searches. Topics covered include software design, tutorials and assistance programs, and conclusions based on…