An Approach to the Implementation of Overlapping Rules in Standard ML

Riccardo Pucella

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An Approach to the Implementation of Overlapping Rules in Standard ML

Riccardo Pucella

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Abstract

We describe an approach to programming rule-based systems in Standard ML, with a focus on so-called overlapping rules, that is rules that can still be active when other rules are fired. Such rules are useful when implementing rule-based reactive systems, and to that effect we show a simple implementation of Loyall's Active Behavior Trees, used to control goal-directed agents in the Oz virtual environment. We discuss an implementation of our framework using a reactive library geared towards implementing those kind of systems.

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Riccardo Pucella. 2000-10-03. An Approach to the Implementation of Overlapping Rules in Standard ML. https://arxiv.org/abs/cs/0010009

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