Computing with causal theories

Ankara : Department of Computer Engineering and Information Sciences and Institute of Engineering and Sciences, Bilkent Univ., 1990.Thesis (Master's) -- Bilkent University, 1990.Includes bibliographical references leaves 89-92Formalizing commonsense knowledge for reasoning about time has long been a central issue in Artificial Intelligence (AI). It has been recognized that the existing formalisms do not provide satisfactory solutions to some fundamental problems of AI, viz. the frame problem. Moreover, it has turned out that the inferences drawn by these systems do not always coincide with those one had intended when he wrote the axioms. These issues call for a well-defined formalism and useful computational utilities for reasoning about time and change. Yoav Shoham of Stanford University inti'oduced in his 1986 Yale doctoral thesis an appealing temporal nonmonotonic logic, the logic of chronological ignorance, and identified a class of theories, causal theories, which have computationally simple model-theoretic properties. This thesis is a study towards building upon Shoham's work on causal theories for the latter are somewhat limited. The thesis mainly centers around improving computational aspects of causal theories while preserving their model-theoretic properties.Tın, ErkanM.S

Third International Symposium on Space Mission Operations and Ground Data Systems, part 2

Under the theme of 'Opportunities in Ground Data Systems for High Efficiency Operations of Space Missions,' the SpaceOps '94 symposium included presentations of more than 150 technical papers spanning five topic areas: Mission Management, Operations, Data Management, System Development, and Systems Engineering. The symposium papers focus on improvements in the efficiency, effectiveness, and quality of data acquisition, ground systems, and mission operations. New technology, methods, and human systems are discussed. Accomplishments are also reported in the application of information systems to improve data retrieval, reporting, and archiving; the management of human factors; the use of telescience and teleoperations; and the design and implementation of logistics support for mission operations. This volume covers expert systems, systems development tools and approaches, and systems engineering issues