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Expert Systems
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Expert systems, constraint satisfaction and protein structure determination (1986)
An important class of problems for which artificial intelligence methods are not well codified is constraint satisfaction. Bruce Buchanan describes Stanford's PROTEAN project which focused on a spatial constraint satisfaction problem in which determining three-dimensional spatial positions of atoms in a protein structure is the goal. Constraints are partly numerical and partly symbolic and those inferred from the data may not be satisfiable together. A blackboard model of reasoning, implemented in the BB1 framework, is used in PROTEAN.
Readings in Knowledge Acquisition and Learning
Readings in Knowledge Acquisition and Learning collects the best of the artificial intelligence literature from the fields of machine learning and knowledge acquisition. This book brings together the perspectives on constructing knowledge-based systems from these two historically separate subfields of artificial intelligence.
Presidential Power and Accountability
Annotation Many analysts now believe that the growth of presidential war power relative to Congress is irreversible. This book contests that view. Buchanan focuses on diagnosing the origins of the problem and devising practical ways to work toward restoration of the constitutional balance of power between Congress and the president.
