Proceedings

A Macro Actor/Token Implementation of Production Systems on a Data-Mow Multiprocessor

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Architectures & Languages. Pages 36-40.

Abstract

The importance of production systems in artificial intelligence has been repeatedly demonstrated by a number of expert systems. Much effort has therefore been expended on finding an efficient processing mechanism to process production systems. While data-flow principles of execution offer the promise of high programmability for numerical computations, we study here variable resolution actors, called macro actors, a processing mechanism for production systems. Characteristics of the production system paradigm are identified, based on which we introduce the concept of macro tokens as a companion.to macro actors. A set of guidelines is identified in the context of prodution systems to derive well-formed macro actors from primitive micro actors. Parallel pattern matching is written in macro ators/tokens to be executed on our Macro Data-flow simulator. Simulation results demonstrate that the macro approach can be an efficient implementation of production systems.

Andrea Sohn, and Jean-Luc Gaudiot. 1991. A Macro Actor/Token Implementation of Production Systems on a Data-Mow Multiprocessor. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 36–40. https://ijcai.org/proceedings/1991/6
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