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作者：Mookerjee, Vijay S.; Dos Santos, Brian L.
作者单位：University of Washington; University of Washington Seattle; University of Louisville
摘要：There is a growing interest in the use of induction to develop a special class of expert systems known as inductive expert systems. Existing approaches to develop inductive expert systems do not attempt to maximize system value and may therefore be of limited use to firms We present an induction algorithm that seeks to develop inductive expert systems that maximize value. The task of developing an inductive expert system is looked upon as one of developing an optimal sequential information acq...
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作者：De, Prabuddha; Jacob, Varghese S.; Pakath, Ramakrishnan
作者单位：University System of Ohio; University of Dayton; University System of Ohio; Ohio State University; University of Kentucky
摘要：In this paper, we consider the problem of generating effective information gathering, communication, and decision-making (ICD) strategies for a distributed expert problem-solving (DEPS) system. We focus on the special case of a dual-processor DEPS system and present a decision-theoretic model that enables the characterization of feasible, efficient, and optimal ICD strategies. In view of the tremendous amount of computing needed to generate optimal strategies for problems of practical size, we...
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作者：Ein-Dor, Phillip; Segev, Eli
作者单位：Tel Aviv University
摘要：Seventeen major types of information systems are identified and defined by vectors of their attributes and functions. These systems are then classified by numerical methods. The quantitative analysis is interpreted in terms of the development history of information system types. Two major findings are that the numerical classification autonomously follows the chronological appearance of system types and that, along the time line, systems have followed two major paths of development; these have...
