Design Issues in Parallel Architecture for Artificial Intelligence

Development of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design goals: * Address the fundamental organizational issues of large-scale paralleli...

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Main Authors: Hewitt, Carl, Lieberman, Henry
Language:en_US
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/5653
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author Hewitt, Carl
Lieberman, Henry
author_facet Hewitt, Carl
Lieberman, Henry
author_sort Hewitt, Carl
collection MIT
description Development of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design goals: * Address the fundamental organizational issues of large-scale parallelism and sharing in a fully integrated way. This means attention to organizational principles, as well as hardware and software. * Serve as an experimental apparatus for testing large-scale artificial intelligence systems. * Explore the feasibility of an architecture based on abstractions, which serve as natural computational primitives for parallel processing. Such abstractions should be logically independent of their software and hardware host implementations. In this paper we lay out some of the fundamental design issues in parallel architectures for Artificial Intelligence, delineate limitations of previous parallel architectures, and outline a new approach that we are pursuing.
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spelling mit-1721.1/56532019-04-13T00:24:45Z Design Issues in Parallel Architecture for Artificial Intelligence Hewitt, Carl Lieberman, Henry architecture parallelism actors Act2 artificial intelligence sApiary message passing reasoning Development of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design goals: * Address the fundamental organizational issues of large-scale parallelism and sharing in a fully integrated way. This means attention to organizational principles, as well as hardware and software. * Serve as an experimental apparatus for testing large-scale artificial intelligence systems. * Explore the feasibility of an architecture based on abstractions, which serve as natural computational primitives for parallel processing. Such abstractions should be logically independent of their software and hardware host implementations. In this paper we lay out some of the fundamental design issues in parallel architectures for Artificial Intelligence, delineate limitations of previous parallel architectures, and outline a new approach that we are pursuing. 2004-10-01T20:18:26Z 2004-10-01T20:18:26Z 1983-11-01 AIM-750 http://hdl.handle.net/1721.1/5653 en_US AIM-750 15 p. 2930263 bytes 2278575 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle architecture
parallelism
actors
Act2
artificial intelligence
sApiary
message passing
reasoning
Hewitt, Carl
Lieberman, Henry
Design Issues in Parallel Architecture for Artificial Intelligence
title Design Issues in Parallel Architecture for Artificial Intelligence
title_full Design Issues in Parallel Architecture for Artificial Intelligence
title_fullStr Design Issues in Parallel Architecture for Artificial Intelligence
title_full_unstemmed Design Issues in Parallel Architecture for Artificial Intelligence
title_short Design Issues in Parallel Architecture for Artificial Intelligence
title_sort design issues in parallel architecture for artificial intelligence
topic architecture
parallelism
actors
Act2
artificial intelligence
sApiary
message passing
reasoning
url http://hdl.handle.net/1721.1/5653
work_keys_str_mv AT hewittcarl designissuesinparallelarchitectureforartificialintelligence
AT liebermanhenry designissuesinparallelarchitectureforartificialintelligence