A Modular and Layered Environment for Reasoning about Action

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Citation: Barbara Hayes-Roth and M. Johnson Jr. and Alan Garvey and Micheal Hewett. (1987) A Modular and Layered Environment for Reasoning about Action. In KSL-86-38, 1987.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Barbara Hayes-Roth and M. Johnson Jr. and Alan Garvey and Micheal Hewett
title A Modular and Layered Environment for Reasoning about Action
number KSL-86-38
institution Knowledge Systems, AI Laboratory
year 1987
Bibtex more
note STAN-CS-87-1147.
Access Paper
abstract An intelligent system reasons about--controls, explains, learns about--its actions, thereby improving its efforts to achieve goals and function in its environment. In order to perform effectively, a system must have knowledge of the actions it can perform, the events and states that can occur, and the relationships among instances of those actions, events, and states. The BB* environment represents this knowledge in an abstraction hierarchy and defines uniform standards of knowledge content and representation for modules within each of three hierarchical levels: architecture, framework, and application. Conversely, a BB* system layers application knowledge on an appropriate framework, which it layers on an appropriate architecture. During problem-solving, the architecture uses a generic framework interpreter to interpret these several layers of representation. We illustrate BB* with some of its current modules: (a) the BB1 blackboard control architecture; (b) the ACCORD framework for arrangement-assembly tasks; and (c) several domain-specific applications of BB1-ACCORD. We demonstrate BB* advantages for: system representation and performance; system design and implementation; reusable knowledge modules; and open system integration. We view BB* as both a modular and layered AI computing environment and as an elementary theory of intelligence.

KSL Technical Report ID: KSL-86-38
Facts about A Modular and Layered Environment for Reasoning about ActionRDF feed
Abstract An intelligent system reasons about--contr … An intelligent system reasons about--controls, explains, learns about--its actions, thereby improving its efforts to achieve goals and function in its environment. In order to perform effectively, a system must have knowledge of the actions it can perform, the events and states that can occur, and the relationships among instances of those actions, events, and states. The BB* environment represents this knowledge in an abstraction hierarchy and defines uniform standards of knowledge content and representation for modules within each of three hierarchical levels: architecture, framework, and application. Conversely, a BB* system layers application knowledge on an appropriate framework, which it layers on an appropriate architecture. During problem-solving, the architecture uses a generic framework interpreter to interpret these several layers of representation. We illustrate BB* with some of its current modules: (a) the BB1 blackboard control architecture; (b) the ACCORD framework for arrangement-assembly tasks; and (c) several domain-specific applications of BB1-ACCORD. We demonstrate BB* advantages for: system representation and performance; system design and implementation; reusable knowledge modules; and open system integration. We view BB* as both a modular and layered AI computing environment and as an elementary theory of intelligence. d as an elementary theory of intelligence.
Author Barbara Hayes-Roth and M. Johnson Jr. and Alan Garvey and Micheal Hewett  +
Bibtype techreport  +
Has author Barbara Hayes-Roth and M. Johnson Jr. and Alan Garvey and Micheal Hewett  +
Has identifier KSL-86-38  +
Has publishing details 1987  +
Has title A Modular and Layered Environment for Reasoning about Action  +
Has where published KSL-86-38  +
Has year 1987  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-86-38  +
Note STAN-CS-87-1147.
Number KSL-86-38  +
Process note YES  +
Title A Modular and Layered Environment for Reasoning about Action  +
Year 1987  +
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