integrating Marker Passing and Problem Solving

<p>A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel non-deductive spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system. <br><br> The author scrutinizes the design of both the algorithm and the system and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models and a comparison of this model to the connectionist approach.</p>