John Wiley & Sons.

In Daniel G. Bobrow and Alan Model of Computation Based on a Calculus University of New York at Albany, 1986. On the of many sorted interpolation theorems. An investigation [Höhfeld and Smolka, 1988] Markus Höhfeld in Expert Systems III, pages 184-194, into inference with restricted and G. Smolka. A many-sorted resolution based Levesque, and Raymond Reiter, editors, 2(3):142-150, 1986. An overview in a topically organized semantic of the HORNE logic programming system.

The 1988 Workshop on Principles of Hybrid Reasoning, a one-day AAAI-sponsored workshop, was held in St. Paul, Minnesota on August 21, 1988, in conjunction with the National Conference on Artificial Intelligence. This article reports on the workshop and presents some of our afterthoughts based upon prolonged discussion of the issues that arose during the workshop.

A workshop on defeasible reasoning with specificity was held under the arch in St. Louis during April 1989, with support from AAAI and McDonnell Douglas, and the assistance of Rockwell Science Center Palo Alto and the Department of Computer Science of Washington University.

In 1877 the Italian astronomer number of inferences about what has Program co-chairpersons are Dr. Robin Giovanni Schiaparaelli announced not changed as the result of performing Cohen of the University of Waterloo, the existence of canali on Mars: a network some action A while allowing the Bob Kass of the EDS Center for of straight and curved lines running small number of inferences about Machine Intelligence, and Cecile Paris across the planet. Canali, meaning what has changed as a result of A. of the Information Sciences Institute.

In his new book "Alternate Realities: Mathematical Models of Nature and Man (New York: John Wiley and Sons, 1989, 493 pages, $34.95), John L. Casti gives us an impressive, up-to-date look at several areas of mathematics that are being applied to the study of biological and sociological systems.

The author makes an important scientific contribution to the theory of knowledge and automatic decision making. The book will be a reference on fundamental research as well as a useful instrument for scientists, philosophers, and advanced students. The book's structure is constructive, facilitating a clear transmission of the author's ideas. Bacchus uses two plans of exposition: the epistemological plan justifies his theory in a wide, philosophical perspective, and the formal, mathematical plan gives the reader a valuable instrument. The book may be too short to fulfill the author's goals, but it reports a research result and requires the reader to take a good look at the bibliography.

We consider two approaches to giving semantics to first-order logics of probability. The first approach puts a probability on the domain, and is appropriate for giving semantics to formulas involving statistical information such as “The probability that a randomly chosen bird flies is greater than 0.9.” The second approach puts a probability on possible worlds, and is appropriate for giving semantics to formulas describing degrees of belief such as “The probability that Tweety (a particular bird) flies is greater than 0.9.” We show that the two approaches can be easily combined, allowing us to reason in a straightforward way about statistical information and degrees of belief. We then consider axiomatizing these logics.

A new research area, Inductive Logic Programming, is presently emerging. While inheriting various positive characteristics of the parent subjects of Logic Programming and Machine Learning, it is hoped that the new area will overcome many of the limitations of its forebears. The background to present developments within this area is discussed and various goals and aspirations for the increasing body of researchers are identified. Inductive Logic Programming needs to be based on sound principles from both Logic and Statistics. In terms of logic we provide a unifying framework for Muggleton and Buntine's Inverse Resolution (IR) and Plotkin's Relative Least General Generalisation (RLGG) by rederiving RLGG in terms of IR.

The output is assembly code for the Berkeley Abstract Machine (BAM). Directives hold starting from the next predicate that is input. Clauses do not have to be contiguous in the input stream, however, the whole stream is read before compilation starts. This manual is organized into ten sections.