Semi-Applicative Programming: Examples of Context Free Recognizers

Sridharan, N. S.

doi:10.1016/b978-0-934613-38-5.50011-8

Cited by 3 publications

(1 citation statement)

References 19 publications

(4 reference statements)

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“…(j) Specialisation -Knowledge or action may be collected in specialised, bounded domains, for purposes of control, extendibility or comprehensiveness. From the 1986 Workshop on Distributed Artificial Intelligence, a classification for DAI systems emerged [Sridharan 1987]. Systems were characterised according to their degree of heterogeneity, autonomy, granularity, distribution and interaction, as well as control strategy, scale, and resources.…”

Section: Distributed Artificial Intelligencementioning

confidence: 99%

An Intelligent Distributed System for Environmental Management

Malheiro

Oliveira

1995

Environmental Informatics

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ABSTRACT. Environmental management is a complex task. The amount and heterogeneity of the data needed for an environmental decision making tool is overwhelming without adequate database systems and innovative methodologies. As far as data management, data interaction and data processing is concerned we here propose the use of a Geographical Information System (GIS) whilst for the decision making we suggest a Multi-Agent System (MAS) architecture. With the adoption of a GIS we hope to provide a complementary coexistence between heterogeneous data sets, a correct data structure, a good storage capacity and a friendly user's interface. By choosing a distributed architecture such as a Multi-Agent System, where each agent is a semi-autonomous Expert System with the necessary skills to cooperate with the others in order to solve a given task, we hope to ensure a dynamic problem decomposition and to achieve a better performance compared with standard monolithical architectures. Finally, and in view of the partial, imprecise, and ever changing character of information available for decision making, Belief Revision capabilities are added to the system. Our aim is to present and discuss an intelligent environmental management system capable of suggesting the more appropriate land-use actions based on the existing spatial and non-spatial constraints.

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Section: Distributed Artificial Intelligencementioning

confidence: 99%

An Intelligent Distributed System for Environmental Management

Malheiro

Oliveira

1995

Environmental Informatics

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A bibliography on parallel parsing

et al. 1994

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Out of the laboratory

Weischedel¹,

Walker²,

Ayuso³

et al. 1986

Proceedings of the Workshop on Strategic Computing Natural Language - HLT '86

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As part of DARPA's Strategic Computing Program, we have moved a large natural language system out of the laboratory. This involved: o Delivery of knowledge acquisition software to the Naval Ocean Systems Center (NOSC) to build linguistic knowledge bases, such as dictionary entries and case frames, o Demonstration of the natural language interface in a naval decision-making setting, and o Delivery of the interface software to Texas Instruments, which has integrated it into the total software package of the Strategic Computing Fleet Command Center Battle Management Program (FCCBMP). The resulting natural language interface will be delivered to the Pacific Fleet Command Center in Hawaii. This paper is an overview of this effort in technology transfer, indicating the technology features that have made this possible and reflecting upon what the experience illustrates regarding transportability, technology status, and delivery of natural language processing outside of a laboratory setting. The paper will be most valuable to those engaged in applying state-of-the-art techniques to deliver natural language interfaces and to those interested in developing the next generation of complete natural language interfaces. 1The work presented here was supported under DARPA contract ~NOOe14.-85-C-e616. The views and conclusions contained in this document ore those of the authors and should not be ~nterpreted as necessarily representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or of the United States Government.

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Semi-Applicative Programming: Examples of Context Free Recognizers

Cited by 3 publications

References 19 publications

An Intelligent Distributed System for Environmental Management

An Intelligent Distributed System for Environmental Management

A bibliography on parallel parsing

Out of the laboratory

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