The broad range of material included in these volumes suggests
to the newcomer the nature of the field of artificial intelligence,
while those with some background in AI will appreciate the detailed
coverage of the work being done at MIT. The results presented are
related to the underlying methodology. Each chapter is introduced
by a short note outlining the scope of the problem begin taken up
or placing it in its historical context.
Contents, Volume II: Understanding Vision: Representing and
Computing Visual Information; Visual Detection of Light Sources;
Representing and Analyzing Surface Orientation; Registering Real
Images Using Synthetic Images; Analyzing Curved Surfaces Using
Reflectance Map Techniques; Analysis of Scenes from a Moving
Viewpoint; Manipulation and Productivity Technology: Force Feedback
in Precise Assembly Tasks; A Language for Automatic Mechanical
Assembly; Kinematics, Statics, and Dynamics of Two-Dimensional
Manipulators; Understanding Manipulator Control by Synthesizing
Human Handwriting; Computer Design and Symbol Manipulation: The
LISP Machine; Shallow Binding in LISP 1.5; Optimizing Allocation
and Garbage Collection of Spaces; Compiler Optimization Based on
Viewing LAMBDA as RENAME Plus GOTO; Control Structure as Patterns
of Passing Messages.
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