Corpus ID: 16251836

UM-PRS: An implementation of the procedural reasoning system for multirobot applications

@inproceedings{Lee1994UMPRSAI,
  title={UM-PRS: An implementation of the procedural reasoning system for multirobot applications},
  author={Jaeho Lee and Marcus J. Huber and Edmund H. Durfee and Patrick G. Kenny},
  year={1994}
}
  • Jaeho Lee, Marcus J. Huber, +1 author Patrick G. Kenny
  • Published 1994
  • Computer Science
  • The Procedural Reasoning System (PRS) is a general purpose reasoning system that is particularly suited for use in domains in which there are predetermined procedures for handling the situations that might arise. We have just completed an implementation of PRS written in C++, which we call the University of Michigan Procedural Reasoning System (UM-PRS). In this paper, we show how UM-PRS provides a critical level of representation for robotic applications in unpredictable domains, because it… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 111 CITATIONS

    Agent programming and adaptive serious games : A survey of the state of the art

    VIEW 4 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Abstract reasoning for multiagent coordination and planning

    VIEW 7 EXCERPTS
    CITES METHODS & BACKGROUND

    Intelligent Agents VI. Agent Theories, Architectures, and Languages

    VIEW 11 EXCERPTS
    CITES BACKGROUND, METHODS & RESULTS
    HIGHLY INFLUENCED

    A logic of intention and action for regular BDI agents based on bisimulation of agent programs

    • Wayne Wobcke
    • Computer Science
    • Autonomous Agents and Multi-Agent Systems
    • 2014
    VIEW 6 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    ORINCON's Agent Workbench: A Graphical Framework for Building BDI-Based Intelligent Software Agents

    • AgentsMarcus, J. Huber, +4 authors SamantORINCON
    • 2013
    VIEW 4 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Motivated Declarative Agents in Multiagent Domains: Open Issues

    VIEW 5 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    FILTER CITATIONS BY YEAR

    1994
    2019

    CITATION STATISTICS

    • 10 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-5 OF 5 REFERENCES

    An architecture for real-time rea- soning and system control

    • Francois F. Ingrand, Michael P. George, Anand S. Rao
    • IEEE Expert,
    • 1992

    Bayesian Networks without Tears

    VIEW 1 EXCERPT

    Decision-making in an embedded reasoning sys- tem

    • Michael P. George, Fran cois F elix Ingrand
    • In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence,
    • 1989
    VIEW 1 EXCERPT

    Pro- cedural knowledge

    • Michael P. George, Amy L. Lansky
    • Proceedings of the IEEE,
    • 1986
    VIEW 1 EXCERPT