DIPART, an interactive simulation platform for studying plan development and monitoring in dynamic environments

Taieb F. Znati, Martha E. Pollack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Current-generation AI planning technology lacks effective, flexible techniques for managing the planning process in the presence of changing information, and for coordinating multiple, distributed planning processes. However, these issues have been the focus of theoretical work in AI over roughly the past five years, and similar issues have been studied by researchers developing distributed, real-time operating systems. The goals of our ongoing research project are, first, to adapt relevant techniques from the literature on operating systems and combine them with techniques from distributed and real-time AI in a system that is capable of forming plans in a dynamic, multi-agent environment, and, second, to assess the relative strengths of these various techniques for a variety of environments and tasks. Towards these ends, we are building DIPART - the Distributed Interactive Planner's Assistant for Real-Time Transportation planning - prototype simulation system that includes both a network of cooperating agents and a simulated environment. In this paper, we describe the main objectives of DIPART and the general approach used in building it.

Original languageEnglish
Title of host publicationProceedings of the IEEE Annual Simulation Symposium
Editors Anon
PublisherPubl by IEEE
Pages236-244
Number of pages9
ISBN (Print)0818656204
Publication statusPublished - 1994
Externally publishedYes
EventProceedings of the IEEE 27th Annual Simulation Symposium - La Jolla, CA, USA
Duration: Apr 11 1994Apr 15 1994

Publication series

NameProceedings of the IEEE Annual Simulation Symposium
ISSN (Print)0272-4715

Conference

ConferenceProceedings of the IEEE 27th Annual Simulation Symposium
CityLa Jolla, CA, USA
Period4/11/944/15/94

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation

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