Northeast Artificial Intelligence Consortium Annual Report. 1988 Distributed Planning for Dynamic Environments in the Presence of Time Constraints. Volume 5

Abstract

Our primary goal has been one of developing a distributed firefighting simulator. This is necessary in order to provide an environment in which agents can cooperatively plan to contain fires. In order to accomplish this task, a number of issues related to timing, agent synchronization, management of thinking time and acting time, and agent capabilities must be resolved. The testbed simulator has not been designed simply as a distribution of the existing centralized firefighting simulator. The issues of time and agent synchronization in a multi-agent environment necessitated a complete redesign of the simulation. The new design permits multiple agents to work simultaneously and independently. It includes a facility for defining the characteristics of communications among agents, with available communication media independently specified. In addition, the new simulator will reflect much more realistic terrain representation and a significantly improved fire model than the existing centralized simulator. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA218005

Entities

People

  • Paul R. Cohen
  • Robert A. Meyer
  • Susan Conry
  • Victor R. Lesser

Organizations

  • Syracuse University

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Computations
  • Consortiums
  • Control Systems
  • Engineering
  • Environment
  • Information Science
  • Reasoning
  • Scheduling (Production)
  • Security
  • Simulations
  • Simulators
  • Thinking
  • Time Domain
  • Time Intervals
  • Universities
  • User Interface

Readers

  • Computational Modeling and Simulation
  • Joint Military Operations and Doctrine.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy