Proceedings

Massively Parallel Artificial Intelligence

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Panels. Pages 557-561.

Abstract

Massively Parallel Artificial Intelligence is a new and growing area of AI research, enabled by the emergence of massively parallel machines. It is a new paradigm in AI research. A high degree of parallelism not only affects computing performance, but also triggers drastic change in the approach toward building intelligent systems; memory-based reasoning and parallel marker-passing are examples of new and redefined approaches. These new approaches, fostered by massively parallel machines, offer a golden opportunity for AI in challenging the vastness and irregularities of real-world data that are encountered when a system accesses and processes Very Large Data Bases and Knowledge Bases. This article describes the current status of massively parallel artificial intelligence research and positions of each panelist.

Hiroaki Kitano, James A. Hendler, Tetsuya Higuchi, Dan I. Moldovan, and David L. Waltz. 1991. Massively Parallel Artificial Intelligence. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 557–561. https://ijcai.org/proceedings/1991/85
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