Integrating Pattern-Based Reasoning in Multimodal Decision Systems

Jack J. Gelfand, Susan L. Epstein, Warren B. Powell · 1998

We describe the integration of pattern-based reasoning learned through experience into two decision-making systems. The first is a hierarchical, multimodal game-playing program, which integrates various approaches for deciding which move to make. The second is a dynamic programming assignment system which assigns trucking resources to delivery tasks. In this case, we utilize historic patterns of activity in the network generator to limit the candidate tour generation process for the assignment algorithm. In each case, the new knowledge results in increased performance. 1. Introduction When the initial statement of a task is not given in terms of an effective or efficient representation, the ability to learn new representations of the problem is essential to a highperformance system. In many tasks people and machines optimize representation and sensory processing through their experience (Saitta, Neri, Bajo, Canas, Chaiklin, Esposito, et al. 1995). Knowledge about spatial and temporal ...

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