A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent Systems

From Tetherless World Wiki

Jump to: navigation, search

Citation: Barbara Hayes-Roth. (1987) A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent Systems. In KSL-87-31, June,1987.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Barbara Hayes-Roth
title A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent Systems
number KSL-87-31
institution Knowledge Systems, AI Laboratory
year 1987
month June
Bibtex more
note 19 pages.
Access Paper
abstract An adaptive intelligent system reasons about and interacts with other dynamic entities in real time. Such a system requires capabilities for: (a) perception, to gain knowledge of other entities; (b) action, to affect other entities; and (c) cognition, to reason about and control its perceptions, actions, knowledge, and cognitions. Since, an adaptive intelligent system can perform many alternative operations - varying in complexity, urgency, and time requirements - at each point in time, it also requires an attentional mechanism to allocate its computational resources effectively in real time. This paper describes a class of MI architectures hypothesized to support a wide range of adaptive intelligent systems. MI architectures incorporate the basic reasoning capabilities of the BB1 blackboard control architecture with two innovations. First, to enable a system to perceive, act, and reason asynchronously and in parallel, MI architectures exploit multi-processor foundations. Second, to enable a system to guarantee a maximum latency to begin each successive operation, MI architectures utilize interrupt-driven execution cycles. The paper also discusses the relationship between Mi architectures and other AI research.

KSL Technical Report ID: KSL-87-31
Facts about A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent SystemsRDF feed
Abstract An adaptive intelligent system reasons abo … An adaptive intelligent system reasons about and interacts with other dynamic entities in real time. Such a system requires capabilities for: (a) perception, to gain knowledge of other entities; (b) action, to affect other entities; and (c) cognition, to reason about and control its perceptions, actions, knowledge, and cognitions. Since, an adaptive intelligent system can perform many alternative operations - varying in complexity, urgency, and time requirements - at each point in time, it also requires an attentional mechanism to allocate its computational resources effectively in real time. This paper describes a class of MI architectures hypothesized to support a wide range of adaptive intelligent systems. MI architectures incorporate the basic reasoning capabilities of the BB1 blackboard control architecture with two innovations. First, to enable a system to perceive, act, and reason asynchronously and in parallel, MI architectures exploit multi-processor foundations. Second, to enable a system to guarantee a maximum latency to begin each successive operation, MI architectures utilize interrupt-driven execution cycles. The paper also discusses the relationship between Mi architectures and other AI research. en Mi architectures and other AI research.
Author Barbara Hayes-Roth  +
Bibtype techreport  +
Has author Barbara Hayes-Roth  +
Has identifier KSL-87-31  +
Has publishing details June,1987  +
Has title A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent Systems  +
Has where published KSL-87-31  +
Has year 1987  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-87-31  +
Month June  +
Note 19 pages.
Number KSL-87-31  +
Process note YES  +
Title A Multi-Processor Interrupt-Driven Architecture for Adaptive Intelligent Systems  +
Year 1987  +
Retrieved from "http://tw.rpi.edu/wiki/A_Multi-Processor_Interrupt-Driven_Architecture_for_Adaptive_Intelligent_Systems"
Personal tools