---
title: "Massively Parallel Artificial Intelligence"
authors:
  - "Hiroaki Kitano"
  - "James A. Hendler"
  - "Tetsuya Higuchi"
  - "Dan I. Moldovan"
  - "David L. Waltz"
doi: ""
url: "https://ijcai.org/proceedings/1991/85"
pdf: "https://ijcai.org/proceedings/1991/0085.pdf"
venue: "Proceedings of the Twelfth International Joint Conference on Artificial Intelligence"
year: 1991
pages: "557-561"
track: "Panels"
keywords:
---

# Massively Parallel Artificial Intelligence

Hiroaki Kitano, James A. Hendler, Tetsuya Higuchi, Dan I. Moldovan, David L. Waltz

*Proceedings of the Twelfth International Joint Conference on Artificial Intelligence*, 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.