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COMPUTATIONAL SCIENCES BY BRUCE G. BUCHANAN Department of Computer Science University of Pittsburgh Pittsburgh, Pa. "Group decision making has not benefited as much from computer-based tools as individuals have. A recent article suggests how groups can benefit more. K.L. Kraemer, J.L. King, “Computer-based systems for cooperative work and group decision making,” ACM Computing, Surveys, 20 (2), 115-46, June 1988. " When learning from examples, computer programs start with a bins&#

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BY BRUCE G. BUCHANAN
Department of Computer Science
University of Pittsburgh
Pittsburgh, Pa.

"Group decision making has not benefited as much from computer-based tools as individuals have. A recent article suggests how groups can benefit more.

K.L. Kraemer, J.L. King, “Computer-based systems for cooperative work and group decision making,” ACM Computing, Surveys, 20 (2), 115-46, June 1988.

" When learning from examples, computer programs start with a bins—a set of conventions and mechanisms that limit the space of plausible concept definitions to be considered. Several measures of inductive bias are discussed in a new study that also addresses their implications for future research.

D. Haussler, “Quantifying inductive bias: Al learning algorithms and Valiant’s learning framework,” Artificial Intelligence, 36 (2), 177-221, September 1988.

"In logic programming, unification of terms is a fundamental operation in simpliI~ring proof trees. Term matching isa frequently occurring case, for which there are efficient parallel algorithms.

C. ...

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